High-dimensional Statistics Courses and Certifications

Instituto de Matemática Pura e Aplicada

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

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.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

Instituto de Matemática Pura e Aplicada

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

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.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

Instituto de Matemática Pura e Aplicada

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

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.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

Instituto de Matemática Pura e Aplicada

High-dimensional Statistics and Approximate Message Passing Algorithms - Workshop on Randomness and Learning on Networks

Explore high-dimensional statistics and approximate message passing algorithms with expert Cynthia Rush. Gain insights into advanced mathematical concepts and their applications in network analysis and learning.

• YouTube
• 57 minutes
• On-Demand
• Free Video

Georgia Tech Research

Combinatorial Testing Problems - Lecture 1

Explore combinatorial testing problems, including hidden clique and high-dimensional random geometric graphs, with insights on statistical challenges and estimation techniques.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Simons Institute

Local Minima of the Empirical Risk in High Dimension

Explore the mathematical analysis of high-dimensional empirical risk minimization, focusing on Gaussian data models and the Kac-Rice formula to characterize local minima and derive sharp asymptotics for estimation errors.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

BIMSA

χ2-Statistics for High-Dimensional Inference of Multivariate Generalized Linear Models

Discover χ2-statistics applications for high-dimensional inference in multivariate generalized linear models through advanced statistical methodology.

• YouTube
• 53 minutes
• On-Demand
• Free Video

Centre International de Rencontres Mathématiques

Adaptive Robust Confidence Intervals in High-Dimensional Statistics

Explore the mathematical complexities of constructing adaptive confidence intervals under Huber's contamination model, focusing on Gaussian location models and network settings in Erdos-Renyi graphs.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Alan Turing Institute

Statistical Methodology and Theory - Professor Richard Samworth, Cambridge

Explore high-dimensional and nonparametric statistical inference with Prof. Samworth. Learn techniques for handling Big Data challenges, including random projections and subsampling for variable selection.

• YouTube
• 2 hours 21 minutes
• On-Demand
• Free Video

Simons Institute

K-Means and K-Medians Under Dimension Reduction

Explore k-means and k-medians clustering algorithms under dimension reduction, examining distortion graphs, cost analysis, and combinatorial lemmas for robust high-dimensional statistics.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Simons Institute

Can Non-Convex Optimization Be Robust?

Explore non-convex optimization's robustness, examining locally optimizable functions, perturbed objectives, and matrix completion. Insights on empirical vs. population risk and semi-random adversaries.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Simons Institute

Robust Estimation and Generative Adversarial Nets

Explore robust estimation techniques and their applications in high-dimensional statistics, including Huber's model, multivariate location depth, and f-Learning, with insights on computational challenges and theoretical foundations.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Simons Institute

Invariance, Causality and Novel Robustness

Explore invariance, causality, and robustness in high-dimensional statistics. Learn about modern applications, heterogeneous data, and novel approaches to prediction problems using causal inference techniques.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Simons Institute

The Importance of Better Models in Stochastic Optimization

Explore stochastic optimization models, focusing on robustness, stability, and asymptotic minimax theory. Learn about weak convexity, sharp growth problems, and practical experiments.

• YouTube
• 47 minutes
• On-Demand
• Free Video

IPhT-TV

Mathematical Problems in Machine Learning - Part 1 of 4

Explore mathematical foundations of machine learning with Andrea Montanari, focusing on key problems and theoretical concepts in the field.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video