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#Gaussian Processes

Showing: 48 courses
METUopencouseware

Signals and Systems II

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Comprehensive exploration of advanced signal processing concepts, including probability theory, random variables, stochastic processes, and spectral analysis for electrical engineering applications.
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42 Lesons
1 day 8 hours
On-Demand
Free-Video
Hausdorff Center for Mathematics

Sparsifying Suprema of Gaussian Processes

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Explore a 49-minute lecture on approximating the supremum of centered Gaussian processes using finite-dimensional Gaussian processes. Delve into the proof that shows how the approximation's dimension depends solely on the target error. Discover the corol…
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1 Lesons
49 minutes
On-Demand
Free-Video

Machine Learning 1 - 2020

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Comprehensive introduction to machine learning fundamentals, covering probability theory, regression, classification, neural networks, clustering, and advanced topics like kernels and Gaussian processes.
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63 Lesons
21 hours
On-Demand
Free-Video
Alan Turing Institute

Constructing Physics-Consistent Neural Networks Using Probability Theory

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Explore the link between probability, physics, and neural networks, focusing on constructing physics-consistent models using Gaussian processes and the central limit theorem.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
IPhT-TV

BMS and All That - Lecture 2

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Explore advanced concepts in BMS theory and related mathematical topics through an in-depth lecture by C Heissenberg, expanding on previous discussions.
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1 Lesons
2 hours 17 minutes
On-Demand
Free-Video
Banach Center

Two-Dimensional Gaussian Processes: Testing Procedure Based on Empirical Cross-Covariance Function

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Explore testing procedures for 2D Gaussian processes using empirical cross-covariance functions in this mathematical analysis presentation.
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1 Lesons
24 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Learning-Based Model Predictive Control - Towards Safe Learning in Control

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Explores integrating learning techniques with optimization-based control for safe, high-performance systems. Discusses methods for data-driven modeling, safety filters, and constraint satisfaction in robotics applications.
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20 Lesons
51 minutes
On-Demand
Free-Video
Open Data Science

Making Robust Business Decisions with Sparse Data - Sarah Jarvis, PhD | ODSC Europe 2019

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Explore data-efficient solutions for supply chain management, focusing on forecasting with limited data and making robust decisions in complex, dynamic systems.
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10 Lesons
44 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Uncertainty Quantification of Quantum Chemical Methods - IPAM at UCLA

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Explore uncertainty quantification in quantum chemistry, covering error estimation, benchmarking, and machine learning approaches for improved accuracy in computational methods.
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38 Lesons
42 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Takashi Owada - Limit Theorems for Topological Invariants of the Dynamic Multi-Parameter Simplicial Complex

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Explore topological invariants in dynamic multi-parameter simplicial complexes, covering connectivity, probability, and limiting processes in applied algebraic topology.
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15 Lesons
28 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Solving Overparametrized Systems of Nonlinear Equations

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Explore overparametrized nonlinear equation systems, their solutions, and implications for neural network optimization landscapes with Stanford's Andrea Montanari at IPAM's EnCORE Workshop.
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1 Lesons
58 minutes
On-Demand
Free-Video
ICTP-SAIFR

Statistical Models: Linking Data to Theory - Class 11

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Explore statistical models linking data to theory, focusing on geometric models, differential equations, and Gaussian processes. Learn to integrate theory with real-world ecological data.
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16 Lesons
1 hour 23 minutes
On-Demand
Free-Video
BIMSA

Variational Approximations for Bayesian and Semi-Bayesian Inferences

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Explore variational approximations in Bayesian inference, focusing on group-variable selection and heteroscedastic Gaussian processes. Learn efficient parameter estimation and process forecasting techniques.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Finnish Center for Artificial Intelligence FCAI

Functional Priors for Bayesian Deep Learning

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Explore functional priors for Bayesian deep learning, focusing on imposing Gaussian process priors on neural networks through Wasserstein distance minimization.
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1 Lesons
58 minutes
On-Demand
Free-Video
International Mathematical Union

Convergence of a Dilute Gas to the Fluctuating Boltzmann Equation

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Explore the convergence of a dilute gas to the fluctuating Boltzmann equation, examining empirical measure fluctuations and their convergence to a Gaussian process for short and long time periods.
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1 Lesons
48 minutes
On-Demand
Free-Video
IPhT-TV

BMS and All That - Lecture 1

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Explore Brownian motion and stochastic processes in this comprehensive lecture, delving into mathematical foundations and applications in physics and finance.
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1 Lesons
1 hour 55 minutes
On-Demand
Free-Video
Computational Genomics Summer Institute CGSI

Mixed Models in Genomic Analyses and Imaging Studies

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Explore mixed models in genomics and imaging, focusing on efficient set tests, Gaussian process priors, gene-environment interactions, and neural networks for histologic feature quantification.
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1 Lesons
36 minutes
On-Demand
Free-Video
Squid: Schools for Quantum Information Development

Trained Quantum Neural Networks are Gaussian Processes

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Explore the mathematical foundations of quantum neural networks, focusing on their convergence to Gaussian processes and implications for training in supervised learning scenarios.
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1 Lesons
25 minutes
On-Demand
Free-Video
AutoML Seminars

Multi-objective Bayesian Optimization with Heuristic Objectives for Biomedical and Molecular Data Analysis Workflows

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Discover advanced Bayesian optimization techniques for biomedical data analysis, focusing on multi-objective approaches with heuristic objectives in unsupervised bioinformatics workflows.
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20 Lesons
42 minutes
On-Demand
Free-Video
Alan Turing Institute

The Automatic Statistician - Professor Zoubin Ghahramani

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Explore Bayesian model selection strategies for automated data analysis and report generation, with insights on regression models, Gaussian processes, and computational resource allocation.
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15 Lesons
55 minutes
On-Demand
Free-Video
Richard McElreath

Statistical Rethinking 2023 - Gaussian Processes

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Explore Gaussian processes and their applications in statistical analysis, including oceanic spatial confounds and phylogenetic regression, for advanced data modeling techniques.
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7 Lesons
1 hour 22 minutes
On-Demand
Free-Video
Richard McElreath

Statistical Rethinking 2022 - Gaussian Processes

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Explore Gaussian processes, spatial confounding, and phylogenetic inference in statistical modeling. Learn to apply these concepts to real-world examples like oceanic covariance and primate phylogeny.
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9 Lesons
1 hour 25 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Algorithms for Heavy-Tailed Statistics - Regression, Covariance Estimation, and Beyond

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Explore advanced statistical techniques for handling heavy-tailed data, including regression and covariance estimation, with a focus on SOS assumptions and median of means framework.
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21 Lesons
20 minutes
On-Demand
Free-Video
Simons Institute

Computation in Very Wide Neural Networks

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Explore infinite-width neural networks, their correspondence to Gaussian processes, and implications for deep learning performance and dynamics in parameter space.
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19 Lesons
49 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Assisting 4D-STEM Data Processing by Machine Learning and Bayesian Optimization

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Explore machine learning and Bayesian optimization techniques for processing 4D-STEM data, enhancing efficiency in materials analysis and electron ptychography reconstruction.
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14 Lesons
53 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Methods for Scalable Probabilistic Inference - IPAM at UCLA

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Explore scalable probabilistic inference methods for astrophysics, focusing on Gaussian Processes for time series analysis and open-source tools to accelerate Bayesian inference with large datasets.
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33 Lesons
46 minutes
On-Demand
Free-Video
Abhishek Thakur

Hyperparameter Optimization - This Tutorial Is All You Need

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Explore various hyperparameter optimization techniques including Grid Search, Random Search, Bayesian Optimization, Hyperopt, and Optuna to fine-tune models and optimize functions effectively.
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7 Lesons
1 hour
On-Demand
Free-Video
MITCBMM

Learning What We Know and Knowing What We Learn - Gaussian Process Priors for Neural Data Analysis

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Explore Gaussian process priors for neural data analysis, covering latent variable models, Bayesian inference, covariance kernels, and factor analysis. Gain insights into advanced techniques for understanding complex neural datasets.
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17 Lesons
1 hour 31 minutes
On-Demand
Free-Video
Simons Institute

Data is as Data Does - The Influence of Computation on Inference

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Exploring the impact of computational approximations on probabilistic models in machine learning, with focus on Gaussian Process approximations and their applications in neurobiology.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Simons Institute

Explorations in Exploration: Deep Learning Meets Value of Information for Sequential Experimental Design

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Exploring machine learning's role in sequential experimental design, focusing on quantifying information value and improving flexibility in planning future experiments.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Alan Turing Institute

Some Thoughts on Gaussian Processes for Emulation of Deterministic Computer Models

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Explore Gaussian Process emulators for complex computer models in uncertainty quantification, focusing on theoretical aspects and applications to climate, tsunami, and earthquake problems.
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1 Lesons
54 minutes
On-Demand
Free-Video
media.ccc.de

A Few Quantitative Thoughts on Parking in Marburg - RC3 - 2020

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Analyse des données de stationnement à Marburg : tendances, modèles et prévisions pour optimiser l'utilisation des espaces de stationnement et améliorer la planification urbaine.
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9 Lesons
28 minutes
On-Demand
Free-Video
MLCon | Machine Learning Conference

Deep Probabilistic Modelling with Pyro

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Explore deep probabilistic modeling with Pyro, combining probabilistic methods and neural networks for better uncertainty handling and decision-making in machine learning applications.
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27 Lesons
33 minutes
On-Demand
Free-Video
Computational Genomics Summer Institute CGSI

ML-Enabled Genetic Association Studies of High-Content Phenotypes

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Explore cutting-edge machine learning applications in genetic association studies, focusing on high-content phenotypes and innovative frameworks like HistoGWAS for analyzing tissue phenotypes in histology cohorts.
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1 Lesons
24 minutes
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

Functional Causal Bayesian Optimization - Lecture 3

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Explore functional causal Bayesian optimization for optimizing interventions in causal graphs. Learn about extending CBO methods, modeling with Gaussian processes, and maximizing expected improvement.
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1 Lesons
24 minutes
On-Demand
Free-Video
AutoML Seminars

Vanilla Bayesian Optimization Performs Great in High Dimensions

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Discover how scaling Gaussian process lengthscale prior with dimensionality enables vanilla Bayesian optimization to excel in high-dimensional optimization problems, outperforming complex alternatives.
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1 Lesons
35 minutes
On-Demand
Free-Video
Finnish Center for Artificial Intelligence FCAI

Probabilistic Richardson Extrapolation

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Explore probabilistic Richardson extrapolation using Gaussian processes for accelerated convergence in numerical methods, with applications in cardiac modeling and statistical experimental design.
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1 Lesons
47 minutes
On-Demand
Free-Video
Google TechTalks

Robust Design Discovery and Exploration in Bayesian Optimization

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Explore data-driven methods for robust design discovery and optimization, focusing on Bayesian techniques that efficiently handle uncertainties and adversarial scenarios in various scientific domains.
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13 Lesons
53 minutes
On-Demand
Free-Video
Alan Turing Institute

A Connection between Probability, Physics and Neural Networks

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Explore the intersection of probability, physics, and neural networks, focusing on constructing physics-consistent models using Gaussian processes and the central limit theorem.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
VinAI

Recent Progress on Grokking and Probabilistic Federated Learning

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Explore recent advancements in grokking phenomenon and probabilistic federated learning. Gain insights into neural networks, Gaussian processes, and Bayesian inference for machine learning applications.
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1 Lesons
1 hour
On-Demand
Free-Video
VinAI

Geometry of Covariance Matrices, Covariance Operators, and Gaussian Processes

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Explore geometric approaches to covariance matrices, operators, and Gaussian processes. Gain insights into non-Euclidean distances, Fisher-Rao distance, and Wasserstein distance in infinite-dimensional settings.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Inside Livermore Lab

Bayesian Optimization: Exploiting Machine Learning Models, Physics, and Throughput Experiments

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Explore new Bayesian Optimization paradigms leveraging machine learning, physics, and high-throughput experiments. Learn to accelerate searches, enable parallel exploration, and utilize large-scale models for various applications.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Inside Livermore Lab

Physics-Enhanced Gaussian Processes for Learning of Electromechanical Systems

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Explore physics-enhanced Gaussian processes for modeling electromechanical systems. Learn about GP-PHS and physics-enhanced variational autoencoders to improve data efficiency and ensure physical correctness.
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1 Lesons
1 hour 15 minutes
On-Demand
Free-Video
Inside Livermore Lab

Challenges and Opportunities for Integrating Physics-Knowledge in Machine Learning Strategies

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Explore integrating physics knowledge into machine learning algorithms for improved generalization and physics-consistent predictions. Examine biases and strategies through a friction identification case study.
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1 Lesons
1 hour 10 minutes
On-Demand
Free-Video
Google TechTalks

Pathwise Conditioning and Non-Euclidean Gaussian Processes

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Explore advanced Gaussian process techniques for efficient Bayesian optimization, including pathwise conditioning and models on graphs and manifolds, enhancing decision-making in complex settings.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

Geometric Probabilistic Models - Tutorial 4

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Explore geometric probabilistic models for data-efficient, uncertainty-aware decision-making in applications like drug design and robotics. Learn theory and implementation of Gaussian processes and related techniques.
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1 Lesons
2 hours 32 minutes
On-Demand
Free-Video
Probabilistic AI School

Gaussian Processes

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Explore Gaussian Processes with Daniel Hernández-Lobato, covering key concepts, applications, and advanced techniques in probabilistic machine learning.
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1 Lesons
2 hours 22 minutes
On-Demand
Free-Video
Inside Livermore Lab

A First-Principles Approach to Understanding Deep Learning

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Delve into the fundamental principles of deep learning through statistical physics, exploring connections between neural networks, Gaussian processes, and scaling laws with insights from a DeepMind researcher.
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1 Lesons
1 hour 18 minutes
On-Demand
Free-Video