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Stanford University

Deep Generative Models - Maximum Likelihood Learning - Lecture 4

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Explore maximum likelihood learning in deep generative models with Stanford's Stefano Ermon. Gain insights into advanced AI techniques and their applications in this comprehensive lecture.
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1 Lesons
1 hour 24 minutes
On-Demand
Free-Video
Computational Genomics Summer Institute CGSI

Using Classical Algorithms for Modern Applications: MCMC for Tail Calculations, EM - Lecture

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Explore classical algorithms applied to modern challenges: MCMC for tail probability estimation and EM for PET reconstruction. Gain insights into innovative adaptations of established methods for cutting-edge problems.
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1 Lesons
29 minutes
On-Demand
Free-Video
The Julia Programming Language

Probability via Computation - Week 4

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Explore probability concepts through computational methods, covering random sampling, Monte Carlo simulations, Bernoulli trials, and the Central Limit Theorem with practical examples and visualizations.
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14 Lesons
26 minutes
On-Demand
Free-Video
Alan Turing Institute

On the Unreasonable Effectiveness of Compressive Imaging - Ben Adcock, Simon Fraser University

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Explores compressive imaging's effectiveness, discussing compressed sensing theory, optimal sampling strategies, and practical applications in data science and imaging technology.
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18 Lesons
41 minutes
On-Demand
Free-Video
Alan Turing Institute

Affine Spline Insights into Deep Learning - Richard Baraniuk, Rice University

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Explore deep learning through affine splines, understanding neural networks as matched filterbanks and partition-based signal distances. Gain insights into data augmentation and future research directions.
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17 Lesons
38 minutes
On-Demand
Free-Video
Alan Turing Institute

Deep Dictionary Learning Approaches for Image Super-Resolution - Pier Luigi Dragotti, Imperial

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Explore cutting-edge deep dictionary learning techniques for image super-resolution with Pier Luigi Dragotti from Imperial College, bridging mathematics and data science in this advanced workshop.
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1 Lesons
44 minutes
On-Demand
Free-Video
IEEE

Cookbook Lower Bounds for Statistical Inference in Distributed and Constrained Settings - Part 3

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Explore advanced statistical inference techniques for distributed and constrained environments, focusing on lower bound analysis and practical applications in complex data scenarios.
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1 Lesons
1 hour 10 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Testing Dependency of Databases - Lecture

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Explore statistical methods for detecting dependencies between random databases, including hypothesis testing and phase transitions in error probability based on database dimensions and distributions.
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1 Lesons
45 minutes
On-Demand
Free-Video
GERAD Research Center

The Role of Convexity in Data-Driven Decision-Making

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Explore data-driven decision-making through distributionally robust optimization, focusing on computation, statistics, and real-time implementation aspects. Gain insights into online optimization applications.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
APS Physics

Inverse Problems on Graphs with Geometric Deep Learning

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Explores geometric deep learning for graph inverse problems, focusing on non-Euclidean geometries, physics-based approaches, and applications in particle physics and community detection.
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21 Lesons
33 minutes
On-Demand
Free-Video
Alan Turing Institute

New Challenges in Computational Statistics

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Explore cutting-edge computational statistics challenges and innovations in this lecture by Professor Gareth Roberts, focusing on complex data analysis and algorithm advancements in statistical science.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Alan Turing Institute

Langevin Monte Carlo: Randomized Midpoint Method Revisited

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Explore advanced Langevin Monte Carlo techniques, focusing on the Randomized Midpoint method's superior sampling error guarantees and recent improvements for high-dimensional target distributions.
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1 Lesons
39 minutes
On-Demand
Free-Video
Centre de recherches mathématiques - CRM

Integrating Mechanistic Models with Computational Statistics and Machine Learning - New Insights in Biology

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Explore integrating mechanistic models with computational statistics and machine learning for new insights in cell and developmental biology. Tackle challenges in analyzing complex quantitative data.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Automated Scalable Bayesian Inference via Data Summarization - 2018

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Explore scalable Bayesian inference techniques using data summarization. Learn about coresets, theoretical guarantees, and practical applications in large-scale data settings.
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11 Lesons
59 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
VinAI

Independent Finite Approximations for Bayesian Nonparametric Inference

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Explore independent finite approximations for Bayesian nonparametric inference, comparing them to truncated finite approximations and analyzing their performance in real-world applications.
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1 Lesons
1 hour 16 minutes
On-Demand
Free-Video
Instituto de Matemática Pura e Aplicada

High-dimensional Statistics and Approximate Message Passing Algorithms - Course 3

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Explore high-dimensional statistics and approximate message passing algorithms in this advanced mathematics lecture. Gain insights into cutting-edge research in discrete probability and statistics.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Instituto de Matemática Pura e Aplicada

High-dimensional Statistics and Approximate Message Passing Algorithms - Course 3

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Explore high-dimensional statistics and approximate message passing algorithms with Cynthia Rush. Gain insights into advanced mathematical concepts and their applications in probability and statistics.
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1 Lesons
1 hour 22 minutes
On-Demand
Free-Video
Instituto de Matemática Pura e Aplicada

High-dimensional Statistics and Approximate Message Passing Algorithms - Course 3

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Explore high-dimensional statistics and approximate message passing algorithms in this advanced mathematics lecture. Gain insights into cutting-edge research in discrete probability and statistics.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Alan Turing Institute

Two Decentralised Learning Problems - Sketching and Policy Evaluation - Justin Romberg, Georgia Tech

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Explore cutting-edge decentralized learning techniques in sketching and policy evaluation with Justin Romberg from Georgia Tech. Gain insights into advanced mathematics for data science.
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1 Lesons
46 minutes
On-Demand
Free-Video
ACM SIGPLAN

Bayesian Inference Using Probabilistic Programming

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Explore Bayesian inference techniques and probabilistic programming concepts with expert insights from Hong Ge at LAFI'24.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
The Royal Institution

The Future of Crime Detection and Prevention

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Expert panel explores AI's role in predicting and preventing crime, discussing technological advancements, ethical concerns, and the future of law enforcement and security.
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15 Lesons
44 minutes
On-Demand
Free-Video
Alan Turing Institute

The Mother of All Representer Theorems for Inverse Problems and Machine Learning - Michael Unser

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Explore the mathematical foundations of inverse problems and machine learning, focusing on representer theorems, Banach spaces, and kernel methods for advanced data science applications.
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22 Lesons
48 minutes
On-Demand
Free-Video
Simons Institute

Optimal Iterative Algorithms for Problems With Random Data

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Explore optimal iterative algorithms for statistical problems with random data, focusing on computational complexity and efficient solutions in statistical inference.
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1 Lesons
53 minutes
On-Demand
Free-Video
try! Swift Conference

Train Your Swift - Computational Statistics in Swift Examples

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Explore statistical models, bag-of-words classification, and Markov Chain algorithms in Swift. Learn to implement mathematical concepts for sorting, classifying, and generating data through practical examples.
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1 Lesons
29 minutes
On-Demand
Free-Video
Probabilistic AI School

Variational Inference and Optimization - Lecture 3

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Explore advanced variational inference and optimization techniques for probabilistic AI, focusing on cutting-edge methods and practical applications.
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1 Lesons
45 minutes
On-Demand
Free-Video
Neurosymbolic Programming for Science

Probabilistic Programming Tutorial - Part 2

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Explore advanced concepts in probabilistic programming, focusing on practical applications and techniques for scientific computing and data analysis.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Exploiting Sparsity and Structure in Parametric and Nonparametric Estimation - 2007

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Explore advanced techniques in sparse estimation for graphical models and nonparametric regression, including l1 regularization and derivative regularization for high-dimensional data analysis.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Neurosymbolic Programming for Science

Probabilistic Programming Tutorial - Part 1

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Explore probabilistic programming fundamentals and applications with MIT expert Vikash Mansinghka in this comprehensive tutorial.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Instituto de Matemática Pura e Aplicada

Statistical Network Analysis - Course 2

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Explore statistical network analysis techniques with experts from Texas A&M and Wisconsin. Gain insights into discrete probability, collaborate on open problems, and advance your research in this month-long program.
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1 Lesons
1 hour 22 minutes
On-Demand
Free-Video
Instituto de Matemática Pura e Aplicada

Statistical Network Analysis - Course 2

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Explore statistical network analysis techniques with experts from Texas A&M and Wisconsin. Gain insights into discrete probability, collaborate on open problems, and advance your research in this month-long program.
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1 Lesons
1 hour 22 minutes
On-Demand
Free-Video
Instituto de Matemática Pura e Aplicada

Statistical Network Analysis - Course 2

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Explore statistical network analysis techniques with experts from Texas A&M and Wisconsin. Gain insights into discrete probability, collaborate on open problems, and advance your research in this month-long program.
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1 Lesons
1 hour 29 minutes
On-Demand
Free-Video