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#Causal Inference

Showing: 115 courses
Alan Turing Institute

Counterfactual Prediction in Transport Modelling - Ricardo Silva & Charisma Choudhury

1 rewiews
Explore counterfactual prediction in transport modeling, enhancing decision-making capabilities through causal inference and machine learning for 'what if' scenarios and fairness considerations.
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17 Lesons
24 minutes
On-Demand
Free-Video
Stanford University

Assignment Control Plots for Causal Inference Study Design - Rocky Aikens

0 rewiews
Explore visual tools for causal inference study design, focusing on assignment-control plots to analyze covariate distribution and improve observational and experimental studies.
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16 Lesons
57 minutes
On-Demand
Free-Video
Stanford University

Towards Generalizable Autonomy - Duality of Discovery & Bias

0 rewiews
Exploring generalization in embodied AI, focusing on interactive learning, representational biases, and causal inference for robotics and decision-making in complex environments.
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1 Lesons
54 minutes
On-Demand
Free-Video
Duke University

Causal Inference Bootcamp - Your Guide to Experiments

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Comprehensive guide to causal inference, covering experimental design, analysis, and real-world applications. Explores controlled experiments, natural experiments, and key issues in research methodology.
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31 Lesons
2 hours 30 minutes
On-Demand
Free-Video
Broad Institute

Deep End-to-end Causal Inference and Introduction to Causal Discovery

0 rewiews
Explore deep end-to-end causal inference and discover its applications in data-driven decision-making across various domains. Learn about causal discovery, inference, and the Microsoft causal AI suite.
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1 Lesons
1 hour 52 minutes
On-Demand
Free-Video
Broad Institute

Large-Scale Differentiable Causal Discovery of Factor Graphs - Lecture and Primer

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Explore large-scale causal discovery using factor directed acyclic graphs and differentiable optimization. Learn about causal representation learning for genetic perturbations and combinatorial extrapolation.
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1 Lesons
1 hour 50 minutes
On-Demand
Free-Video
Broad Institute

GRN-Guided Simulation of Single-Cell RNA-Seq and Primer on Causal GANs

0 rewiews
Explore GRouNdGAN for simulating single-cell RNA-seq data and learn about CausalGANs for gene regulatory network analysis and in-silico perturbation experiments.
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1 Lesons
1 hour 18 minutes
On-Demand
Free-Video
Broad Institute

Inferring Causal Cell Types Driving Human Disease and Complex Traits - MPG Primer 2023

0 rewiews
Explore causal cell types in human diseases through GWAS and functional genomics integration. Learn about colocalization, TWAS, and TCSC for identifying disease-critical genes and tissues.
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17 Lesons
56 minutes
On-Demand
Free-Video
Cambridge University Press

Evolutionary Human Sciences: Causal Inference

0 rewiews
Explore advanced methods for drawing causal inferences from observational data, with a focus on social influence and cultural evolution in human behavior.
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1 Lesons
1 hour
On-Demand
Free-Video
Broad Institute

Hierarchical Causal Models

0 rewiews
Dive into hierarchical causal models with David Blei in this EWSC-MIT EECS Joint Colloquium, exploring novel insights in biomedical research and machine learning advancements.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Computational Genomics Summer Institute CGSI

Bridging the Gap: Deep Learning and Causality

0 rewiews
Explore the intersection of deep learning and causality, focusing on bridging the gap between these fields. Gain insights into recent advancements and their applications in computational genomics.
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1 Lesons
26 minutes
On-Demand
Free-Video
Institute for Advanced Study

Learning Representations Using Causal Invariance - Leon Bottou

0 rewiews
Explore causal invariance in machine learning representations, focusing on stable properties, extrapolation, and robust supervised learning techniques for improved model performance and generalization.
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31 Lesons
33 minutes
On-Demand
Free-Video
Alan Turing Institute

Spatial Causal Inference and Neighborhood Effects

0 rewiews
Explore spatial causal inference, interference problems from social interactions, and neighborhood effects in multilevel analyses. Examine agent-based models to question area-level effects and their causal interpretations.
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1 Lesons
58 minutes
On-Demand
Free-Video
Alan Turing Institute

COVID-19 Lockdowns - Evaluating the Effectiveness of Government Interventions

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Podcast explores research on effectiveness of government interventions against Covid-19 during first wave, featuring Oxford PhD students discussing their published findings on pandemic policy impacts.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
VinAI

Building Blocks of Generalizable Autonomy

0 rewiews
Explore key aspects of generalizable autonomy in robotics, including representational biases, causal inference, and interactive policy learning under uncertainty for efficient and adaptable AI systems.
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1 Lesons
1 hour 19 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Instrumental Variable Estimation - Part VII: Testing Overidentification and Instrument Validity

0 rewiews
Explore test for overidentification, validity of instruments, and calculus interpretation of IV in instrumental variable estimation.
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1 Lesons
38 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Instrumental Variable Estimation - Part VI: Testing for Endogeneity and Hausman Test

0 rewiews
Explore endogeneity testing, implement the Hausman Test, and apply it to multiple endogenous variables in instrumental variable estimation.
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1 Lesons
20 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Instrumental Variable Estimation - Testing Endogeneity and Hausman Test - Part 5

0 rewiews
Explore advanced endogeneity testing techniques, including Hausman Test implementation for multiple variables in instrumental variable estimation.
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6 Lesons
37 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Instrumental Variable Estimation - Part II

0 rewiews
Explore advanced IV estimation techniques, addressing endogeneity issues and understanding key conditions for effective implementation in econometric analysis.
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1 Lesons
31 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Instrumental Variable Estimation - Part III

0 rewiews
Explore IV techniques for MLRM, Generalised MLRM, multiple instruments, and endogenous variables in econometric analysis.
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1 Lesons
27 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Instrumental Variable Estimation - Part I

0 rewiews
Explore IV estimation, endogenous explanatory variables, and conditions for instrumental variables in econometric analysis.
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1 Lesons
25 minutes
On-Demand
Free-Video
Alan Turing Institute

TMCF Workshop Use-Cases - Counterfactual CPMS & Emerging COVID Work, Niels Peek

0 rewiews
Exploring causal inference in AI prediction algorithms for decision-making, focusing on 'what if' scenarios in healthcare and insurance, with applications to COVID-19 pandemic response.
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7 Lesons
21 minutes
On-Demand
Free-Video
Alan Turing Institute

Causal Inference in Observational Studies - Emma McCoy, Imperial College London

0 rewiews
Explore causal inference in observational studies with Prof. Emma McCoy. Learn about robust estimation of treatment effects, time-series methodology, and applications in transport settings.
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10 Lesons
32 minutes
On-Demand
Free-Video
Simons Institute

Reinforcement Learning

0 rewiews
Explore reinforcement learning's foundations, applications, and advanced concepts, including Q-learning, exploration-exploitation trade-offs, and instance-optimality in policy evaluation.
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17 Lesons
31 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Hidden Variables in Linear Non-Gaussian Causal Models

0 rewiews
Explore hidden variables in linear non-Gaussian causal models, using high-order cumulant information to uncover causal structures in data science applications with multiple observed variables.
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9 Lesons
32 minutes
On-Demand
Free-Video
Alan Turing Institute

Causal Inference for Individualized Treatment Effects - From Theory to Algorithms

0 rewiews
Explore cutting-edge applications of causal inference in data science for individualized treatment effects, bridging theory and practical algorithms in economic research and policy-making.
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1 Lesons
41 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Visualizing and Analyzing Event Sequence Data

0 rewiews
Explore techniques for analyzing event sequence data, including causal inference, deep learning, and generative AI, to extract valuable insights from high-dimensional business process data.
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1 Lesons
58 minutes
On-Demand
Free-Video
Shaw Talebi

Causal Effects via Propensity Scores - Introduction and Python Implementation

0 rewiews
Explore propensity scores for causal effects in observational data. Learn three methods: matching, stratification, and inverse probability weighting. Includes Python example and cautionary notes.
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9 Lesons
18 minutes
On-Demand
Free-Video
Alan Turing Institute

From Causal Inference to Autoencoders, Memorization & Gene Regulation - Caroline Uhler, MIT

0 rewiews
Exploring causal inference, autoencoders, and gene regulation through genomics and 3D genome organization. Integrates data modalities, analyzes overparameterized autoencoders, and links memorization to real-valued data retrieval.
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16 Lesons
42 minutes
On-Demand
Free-Video
Richard McElreath

Statistical Rethinking 2023 - Good & Bad Controls

0 rewiews
Explore causal inference, do-calculus, and the backdoor criterion. Learn to distinguish good and bad controls in statistical analysis, with insights on the Table 2 Fallacy.
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8 Lesons
1 hour 26 minutes
On-Demand
Free-Video
Richard McElreath

Statistical Rethinking 2022 - Ordered Categories

0 rewiews
Explore advanced statistical concepts like ordered categories, cumulative log-odds, and Dirichlet priors. Learn to handle sample bias, confounding, and complex causal effects in statistical analysis.
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12 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Richard McElreath

Statistical Rethinking 2022 - Golem of Prague

0 rewiews
Explore statistical modeling, scientific workflow, and causal inference through the lens of golems, owls, and DAGs in this thought-provoking introduction to statistical rethinking.
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5 Lesons
41 minutes
On-Demand
Free-Video
Richard McElreath

Science Before Statistics - Causal Inference

0 rewiews
Comprehensive workshop on causal inference, covering key concepts like causal design, graph analysis, and Bayesian inference. Equips researchers with tools to navigate complex causal relationships in data analysis.
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8 Lesons
3 hours 2 minutes
On-Demand
Free-Video
Richard McElreath

Bayesian Inference Is Just Counting

0 rewiews
Explore foundations of Bayesian data analysis, focusing on conceptual understanding and causal inference. Learn key principles from renowned expert Richard McElreath's book, covering topics like T-tests and machine learning.
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6 Lesons
2 hours 2 minutes
On-Demand
Free-Video
Simons Institute

Kernel Methods for Causal Inference

0 rewiews
Explore kernel ridge regression for causal inference, covering dose responses, treatment effects, and extensions to various settings. Learn about consistency, efficiency, and robustness in estimation.
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9 Lesons
30 minutes
On-Demand
Free-Video
Simons Institute

Tractable Probabilistic Circuits

0 rewiews
Explore recent developments in tractable probabilistic circuit models, their efficient learning from data, and applications in causal inference algorithms for computing marginal probabilities and related queries.
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1 Lesons
37 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Causal Inference for Earth System Sciences - Jakob Runge

0 rewiews
Exploring causal inference techniques for Earth system sciences, focusing on advanced methods to uncover complex relationships in climate data and improve understanding of multi-scale processes.
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1 Lesons
45 minutes
On-Demand
Free-Video
International Mathematical Union

Bernhard Schölkopf- From Statistical to Causal Learning

0 rewiews
Explore the evolution of AI systems, from symbolic to statistical and causal approaches, examining key challenges in machine learning and the role of causality in advancing AI understanding and modeling.
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1 Lesons
48 minutes
On-Demand
Free-Video
Alan Turing Institute

Theory and Methods Challenges in Counterfactual Prediction - Karla Diaz-Ordaz

0 rewiews
Explore causal inference in AI prediction, enhancing algorithms with 'what if' capabilities for decision-making and fairness. Learn about counterfactual prediction challenges and methodologies.
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11 Lesons
24 minutes
On-Demand
Free-Video
Alan Turing Institute

Enriching Latent Class Models With Counterfactual Prediction - Mark Gilthorpe

0 rewiews
Exploring counterfactual prediction in AI: enhancing prediction algorithms with 'what if' capabilities for improved decision-making and fairness in healthcare, insurance, and beyond.
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9 Lesons
21 minutes
On-Demand
Free-Video
IEEE Signal Processing Society

Causal Inference on Networks to Characterize Disinformation Narrative Propagation

0 rewiews
Explore techniques for detecting and analyzing disinformation spread on social networks using causal inference, focusing on network construction, influence scoring, and bot detection.
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24 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Alan Turing Institute

Causal Effect Identification from Multiple Incomplete Data Sources

0 rewiews
Explore causal effect identification using do-calculus search algorithms, addressing complex data scenarios like missing data and context-specific independence in causal inference.
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26 Lesons
36 minutes
On-Demand
Free-Video
Alan Turing Institute

String Diagrams for Structural Causal Modeling and Inference

0 rewiews
Explore structural causal modelling and inference using string diagrams, a powerful visual tool for understanding complex causal relationships in data analysis.
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1 Lesons
52 minutes
On-Demand
Free-Video
Simons Institute

Causal Data Integration

0 rewiews
Techniques for integrating datasets with unobserved confounding variables and summarizing causal DAGs to address data management challenges in causal inference.
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1 Lesons
28 minutes
On-Demand
Free-Video
Simons Institute

Tractable Bounding of Counterfactual Queries by Knowledge Compilation

0 rewiews
Explores bounding partially identifiable queries in causal models using knowledge compilation, offering computational advantages for inference in Bayesian networks with shared structures.
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1 Lesons
34 minutes
On-Demand
Free-Video
Paul G. Allen School

Causal Inference in Single-cell Genomics - Machine Learning in Computational Biology

0 rewiews
Explore causal inference in single-cell genomics, focusing on differential expression analysis and integrating bulk data for high-resolution insights into complex disease mechanisms.
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20 Lesons
1 hour 9 minutes
On-Demand
Free-Video
Data Science Dojo

Causal Behavioral Modeling Framework - Discrete Choice Modeling of Consumer Demand

0 rewiews
Explore causal behavioral modeling and discrete choice models for consumer demand. Learn about heterogeneity, market simulation, and applications in marketing science, with insights on neural network representations.
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12 Lesons
51 minutes
On-Demand
Free-Video
Alan Turing Institute

Cause and Effect - Understanding Causation in Scientific Research

0 rewiews
Exploring causal inference methods in epidemiology and their impact on scientific understanding, challenging traditional views on correlation vs. causation in data analysis.
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1 Lesons
31 minutes
On-Demand
Free-Video
Data Science Festival

Causal Inference in Python: From Theory to Practice

0 rewiews
Explore causal inference in Python, moving beyond association to causation. Learn graphical causal models, do-calculus, and apply the causal data science pipeline to retail problems using DoWhy library.
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1 Lesons
44 minutes
On-Demand
Free-Video
CIMPA UCR

Learning Gaussian DAGs from Network Data

0 rewiews
Descubre técnicas avanzadas para aprender DAGs gaussianos a partir de datos de red con el Dr. Oscar Hernán Madrid Padilla de UCLA.
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1 Lesons
56 minutes
On-Demand
Free-Video
Data Science Festival

Introduction to Causal Inference - Asking Your Data "Why?"

0 rewiews
Explore causal relationships in data beyond correlation. Learn to ask "Why?" and unveil insights using simple techniques, avoiding misinterpretation pitfalls like Simpson's Paradox.
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1 Lesons
49 minutes
On-Demand
Free-Video
Data Science Festival

Advanced Causal Inference Made Simple

0 rewiews
Explore automated causal inference techniques using auto-causality package. Learn to analyze A/B test results, measure impacts, and identify customer responses to different options.
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1 Lesons
35 minutes
On-Demand
Free-Video
Data Science Festival

Causal Data Science in Retail - Understanding Supply Chain and Customer Behavior

0 rewiews
Explore causal inference and Bayesian techniques in retail, focusing on supply chain, customer behavior, and promotion effects at M&S. Learn to answer "why" and "what-if" questions using machine learning.
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1 Lesons
58 minutes
On-Demand
Free-Video
Data Science Festival

Improving Insights by Utilizing Causal Inference Methods

0 rewiews
Explore causal inference methods to de-bias data, approximate incremental improvements, and accelerate insights using propensity score matching and regression discontinuity.
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1 Lesons
40 minutes
On-Demand
Free-Video
Data Science Festival

Proving the Impact: Using Synthetic Control to Evaluate Intervention Effectiveness

0 rewiews
Explore Synthetic Control methodology for measuring intervention impact when A/B testing isn't feasible. Learn to construct "synthetic" units, estimate causal effects, and apply this innovative approach to real-world scenarios.
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1 Lesons
37 minutes
On-Demand
Free-Video
Data Science Festival

Using Causal Inference to Increase a FinTech's Customer Acquisitions

0 rewiews
Explore causal inference techniques to optimize customer acquisition strategies in FinTech, focusing on reducing disengagement during onboarding and improving contact timing.
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1 Lesons
19 minutes
On-Demand
Free-Video
Valence Labs

A Causal Inference Framework for Combinatorial Interventions

0 rewiews
Explore a novel latent factor model for estimating causal effects of combinatorial interventions, addressing challenges in factorial experiments and recommendation systems.
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10 Lesons
54 minutes
On-Demand
Free-Video
Valence Labs

Causal Abstractions Using Generalized Functions

0 rewiews
Explore generalized functions and their applications in causal models, including nondeterministic structural models and novel types of model reduction, leading to new definitions of causal abstraction.
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5 Lesons
53 minutes
On-Demand
Free-Video
Valence Labs

Meaningful Causal Aggregation and Paradoxical Confounding

0 rewiews
Explore causal aggregation challenges, macro interventions, and micro-realism in statistical analysis. Gain insights into ill-defined causality and its impact on confounding in aggregated variables.
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5 Lesons
56 minutes
On-Demand
Free-Video
Valence Labs

Weakly Supervised Causal Representation Learning

0 rewiews
Explore weakly supervised causal representation learning, its theoretical foundations, and practical applications in disentangling causal variables from unstructured data like images for improved causal reasoning.
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9 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Valence Labs

Linear Causal Representations from Interventions under General Nonlinear Mixing

0 rewiews
Explore causal representation learning from latent interventions in nonlinear settings. Uncover geometric structures, analyze precision matrices, and evaluate a contrastive algorithm for identifying latent variables.
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10 Lesons
54 minutes
On-Demand
Free-Video
Valence Labs

Causal Representation Learning via Soft Interventions

0 rewiews
Explore causal representation learning through soft interventions, focusing on identifiability, prediction of intervention effects, and applications in single-cell biology using auto-encoding variational Bayes.
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10 Lesons
1 hour 14 minutes
On-Demand
Free-Video
Valence Labs

Identifiability of Causal Models and Applications to Perturb-Seq Data

0 rewiews
Explore causal model identifiability, structure learning, and applications to Perturb-seq data. Delve into interventions, latent variables, and causal disentanglement for advancing AI in drug discovery.
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12 Lesons
1 hour 12 minutes
On-Demand
Free-Video
Data Science Festival

Causal Inference in Retail: An M&S Case Study

0 rewiews
Explore causal inference techniques for understanding consumer behavior and improving customer lifetime value in retail, using Marks & Spencer as a case study.
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1 Lesons
41 minutes
On-Demand
Free-Video
Computational Genomics Summer Institute CGSI

Observational Causal Inference for Improving and Auditing ML in Healthcare

0 rewiews
Explore observational causal inference techniques to enhance and audit machine learning models in healthcare, focusing on distribution shifts, safe policy learning, and robust off-policy evaluation.
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1 Lesons
24 minutes
On-Demand
Free-Video
Valence Labs

Causal Discovery and Representation Learning - Day 4

0 rewiews
Explore causal discovery and representation learning in machine learning for drug discovery with Jason Hartford's insightful presentation.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Valence Labs

Identifying Representations for Intervention Extrapolation

0 rewiews
Explore identifiable representations for intervention extrapolation, improving generalizability in machine learning. Learn theoretical foundations and practical applications through simulations and Q&A.
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6 Lesons
33 minutes
On-Demand
Free-Video
Simons Institute

Statistical Limits of Causal Inference

0 rewiews
Explore fundamental limits of causal effect estimation in observational data, examining personalized effects, non-smooth settings, and discrete scenarios without assuming prior causal inference knowledge.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
The Julia Programming Language

Causal Machine Learning with CausalELM - JuliaCon 2024

0 rewiews
Explore causal machine learning with CausalELM, covering potential outcomes, real-world examples, extreme learning machines, and estimators. Learn practical implementation for various applications without extensive statistical background.
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1 Lesons
28 minutes
On-Demand
Free-Video
Probabilistic AI School

Causal Inference

0 rewiews
Explore causal inference concepts, methodologies, and applications in AI with expert Adèle H. Ribeiro. Gain insights into probabilistic reasoning and decision-making.
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1 Lesons
2 hours 24 minutes
On-Demand
Free-Video
Probabilistic AI School

Causal Machine Learning

0 rewiews
Explore causal machine learning concepts and techniques with expert Fredrik D. Johansson in this comprehensive ProbAI lecture.
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1 Lesons
2 hours 29 minutes
On-Demand
Free-Video
Probabilistic AI School

Causal Inference - Lecture from Nordic Probabilistic AI School 2024

0 rewiews
Explore causal inference principles, techniques, and applications in AI with expert Adele Ribeiro. Gain insights into probabilistic modeling and decision-making.
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1 Lesons
2 hours 36 minutes
On-Demand
Free-Video
UCLA Automated Reasoning Group

Optimizing Causal Objective Functions - Algorithms and Complexity

0 rewiews
Explore causal objective functions, their optimization, and algorithmic complexities. Delve into structural causal models, unit selection, and variable elimination techniques for associational queries.
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27 Lesons
1 hour 9 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Causal Inference to Inform Curation Practices in Online Platforms

0 rewiews
Explore causal inference methods for improving content curation on digital platforms. Examine case studies on Reddit, discuss implications for policy, and consider future research directions in the era of generative AI.
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1 Lesons
1 hour
On-Demand
Free-Video
BIMSA

Causal Inference with Mendelian Randomization in Biomedical Studies

0 rewiews
Explore Mendelian Randomization for causal inference in biomedical research. Learn innovative methods, overcome challenges, and gain insights into complex disease relationships through simulation and case studies.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Centre de recherches mathématiques - CRM

Learning Causal Models via Algebraic Constraints

0 rewiews
Explorez les modèles causaux linéaires et leurs graphes dirigés. Découvrez des méthodes algébriques pour identifier les relations causales à partir de données observationnelles, même avec des cycles ou variables cachées.
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1 Lesons
49 minutes
On-Demand
Free-Video
Shaw Talebi

Causal Effects via Regression with Python Code - Part 5

0 rewiews
Explore regression-based techniques for computing causal effects, including linear regression, double machine learning, and metalearners. Gain practical insights with Python code examples.
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10 Lesons
19 minutes
On-Demand
Free-Video
Shaw Talebi

Causal Effects via DAGs: Handling Unobserved Confounders - Part 4

0 rewiews
Explore graphical criteria for evaluating causal effects in non-Markovian models, focusing on handling unobserved confounders through back and front door criteria.
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9 Lesons
14 minutes
On-Demand
Free-Video
Shaw Talebi

Causal Effects via the Do-operator: Overview and Example - Part 3

0 rewiews
Explore the do-operator for estimating causal effects from observational data. Learn alternative formulations of average treatment effect and techniques for handling unmeasured confounders.
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9 Lesons
15 minutes
On-Demand
Free-Video
Shaw Talebi

Causal Effects - Introduction to the Potential Outcomes Framework

0 rewiews
Explore the Potential Outcomes Framework and three types of causal effects in this introductory video on causal inference, laying the groundwork for future discussions on observational data analysis.
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10 Lesons
11 minutes
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

All Causal DAGs Are Wrong but Some Are Useful

0 rewiews
Explore the concept of causal DAGs, their usefulness, and challenges in causal discovery. Gain insights into evaluating causal models without ground truth and understanding causality's meaning across various tasks.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

Omitted Variable Bias in Causal Machine Learning

0 rewiews
Explore omitted variable bias in causal machine learning with Victor Chernozhukov's keynote address at UAI 2023, offering insights into this critical aspect of AI research.
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1 Lesons
56 minutes
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

Partial Identification of Dose Responses with Hidden Confounders - UAI 2023 Oral Session 3

0 rewiews
Explore novel methods for bounding continuous-valued treatment effects with hidden confounders in causal inference, enhancing decision-making in observational studies.
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1 Lesons
30 minutes
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

Establishing Markov Equivalence in Cyclic Directed Graphs - UAI 2023 Oral Session 3

0 rewiews
Explore an efficient procedure for establishing Markov equivalence in cyclic directed graphs, based on the Cyclic Equivalence Theorem and ancestral perspective.
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1 Lesons
25 minutes
On-Demand
Free-Video
Data Council

Beyond Simple A/B Testing - Advanced Experimentation Tactics

0 rewiews
Explore advanced A/B testing strategies like Multi-Armed Bandits and Switchback Experiments to enhance data-driven decision-making and product development.
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1 Lesons
39 minutes
On-Demand
Free-Video
Data Science Festival

Addressing Cultural and Technical Challenges in Product Experimentation - Beyond the Tool

0 rewiews
Explore cultural and technical challenges in product experimentation, focusing on hypothesis testing, causal inference, and data science techniques beyond traditional methods.
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17 Lesons
41 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Objective Discovery of Dominant Dynamical Regimes - Bryan Kaiser - Climate-C21

0 rewiews
Discover dominant dynamical regimes in climate systems using machine learning and big data. Explore objective methods to advance theoretical understanding and inform future climate predictions at regional scales.
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1 Lesons
44 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Deep Unsupervised Learning for Climate Informatics - Claire Monteleoni

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Exploring deep unsupervised learning techniques for climate data analysis, focusing on innovative approaches to extract insights from complex Earth system observations and modeling data.
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1 Lesons
46 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Treatment Effect Estimation for User Interest Exploration on Recommender Systems

0 rewiews
Explore advanced techniques for estimating treatment effects in recommender systems, focusing on user interest exploration and long-term session recommendations.
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1 Lesons
13 minutes
On-Demand
Free-Video
Alan Turing Institute

Counterfactual Fairness

0 rewiews
Explore causal inference tools for modeling fairness in machine learning, addressing bias and ensuring equitable decisions across demographic groups.
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19 Lesons
46 minutes
On-Demand
Free-Video
Simons Institute

Better Learning from the Past - Counterfactual - Batch RL

0 rewiews
Explore counterfactual and batch reinforcement learning for improved decision-making under uncertainty, with focus on generalization bounds and policy optimization techniques.
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19 Lesons
41 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Benefits of Saying I Don't Know When Analyzing and Modeling the Climate System With ML - Elizabeth Barnes

0 rewiews
Explore the benefits of acknowledging uncertainty in climate system analysis using machine learning. Learn about state-dependent predictability and controlled abstention networks for improved modeling accuracy.
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8 Lesons
46 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Interpretable and Generalizable Machine Learning for Fluid Dynamics - Steven Brunton

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Explore interpretable and generalizable machine learning techniques for fluid dynamics, focusing on sparse identification of nonlinear dynamics and incorporating physical constraints for improved accuracy.
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9 Lesons
42 minutes
On-Demand
Free-Video
Valence Labs

Linear Structure of High-Level Concepts in Text-Controlled Generative Models

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Explore the linear structure of high-level concepts in text-controlled generative models, focusing on embedding, representation, and semantic encoding for precise model control.
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8 Lesons
1 hour 8 minutes
On-Demand
Free-Video
Valence Labs

The Statistical Structure of Identifiable Generative Models

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Explore the statistical structure of identifiable generative models, focusing on causal representation learning, model identifiability, and unique inferences from observations under suitable assumptions.
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6 Lesons
49 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Treatment Effect Risk - Bounds and Inference

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Explore bounds and inference in treatment effect risk analysis, focusing on statistical methods for causal inference and risk assessment in experimental studies.
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1 Lesons
16 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Interventions over Predictions - Reframing the Ethical Debate for Actuarial Risk Assessment

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Reframing ethical debates on actuarial risk assessment, focusing on interventions over predictions. Explores historical context, machine learning implications, and causal inference in risk evaluation.
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8 Lesons
22 minutes
On-Demand
Free-Video
EuroPython Conference

A Gentle Introduction to Causal Inference

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Explore causal inference techniques to uncover relationships in observational data, avoid misinterpretation pitfalls, and extract deeper insights beyond simple correlation calculations.
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1 Lesons
53 minutes
On-Demand
Free-Video
EuroPython Conference

Sliding into Causal Inference, with Python

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Explore causal inference tools in Python to simulate parallel realities and answer 'what if' questions. Learn about randomized experiments, differences-in-differences, propensity scores, and synthetic controls.
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10 Lesons
32 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Instrumental Variable Estimation: STATA Application of IV Using 2SLS - Part 9

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Apply instrumental variable estimation using two-stage least squares in STATA, enhancing your econometric analysis skills with practical implementation.
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1 Lesons
18 minutes
On-Demand
Free-Video