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#High-dimensional Statistics

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Institute for Pure & Applied Mathematics (IPAM)

Comparison and Transfer Between Tasks in Overparameterized Learning

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Explore similarities and differences in classification and regression tasks for overparameterized linear models. Gain insights into task transfer and generalization in high-dimensional regimes.
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1 Lesons
49 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Surprising Phenomena of Max-LP-Margin Classifiers in High Dimensions

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Delve into surprising phenomena of max-lp-margin classifiers in high dimensions, exploring optimal rates, adaptivity, and performance in noisy observations for machine learning theory enthusiasts.
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1 Lesons
53 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

Regularization via Permutation of Labels - Lecture 2

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Explore advanced statistical techniques for regularization through label permutation, focusing on mathematical theory and practical applications.
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1 Lesons
43 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

Generalisation of Some Overparametrised Models

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Explorez la généralisation des modèles surparamétrés avec Stéphane Chrétien. Plongez dans les concepts mathématiques avancés et leurs applications dans l'apprentissage et l'optimisation.
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1 Lesons
35 minutes
On-Demand
Free-Video
Alan Turing Institute

Statistical Methodology and Theory - Professor Richard Samworth, Cambridge

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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.
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1 Lesons
2 hours 21 minutes
On-Demand
Free-Video
Centre de recherches mathématiques - CRM

Auto-regressive Approximations to Non-stationary Time Series: Inference and Applications

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Explore auto-regressive approximations for non-stationary time series, covering inference methods and practical applications in forecasting, estimation, and resampling.
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1 Lesons
57 minutes
On-Demand
Free-Video
Institute for Mathematical Sciences

Beating the Odds - Learning or Hallucinating? The Science of Data Today

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Explore the intersection of data science, learning, and hallucination with insights from a renowned mathematician on current trends and challenges in the field.
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1 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Simons Institute

Robust Estimation and Generative Adversarial Nets

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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.
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12 Lesons
44 minutes
On-Demand
Free-Video
Simons Institute

Invariance, Causality and Novel Robustness

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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.
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15 Lesons
44 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

The Kikuchi Hierarchy and Tensor PCA

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Explores advanced algorithms for tensor PCA, introducing a new hierarchy inspired by Kikuchi free energy to improve belief propagation performance and match sum-of-squares methods.
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13 Lesons
34 minutes
On-Demand
Free-Video
Simons Institute

Efficient Algorithms for Outlier-Robust Regression

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Explore advanced techniques for outlier-robust regression, focusing on efficient algorithms and their applications in high-dimensional statistics and machine learning.
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1 Lesons
41 minutes
On-Demand
Free-Video
USC Probability and Statistics Seminar

Mean and Location Estimation with Optimal Constants - UW Madison

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Explore advanced statistical techniques for mean and location estimation, focusing on finite sample theories and optimal constants in high-dimensional regimes.
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1 Lesons
59 minutes
On-Demand
Free-Video
Isaac Newton Institute for Mathematical Sciences

From Quantum Entanglement to Future Data-Driven Engineering - Rothschild Lecture

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Explore high-dimensional Bayesian statistics in engineering, focusing on efficient data-physical model integration and uncertainty quantification. Learn about multilevel MCMC and measure-transport approaches.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Georgia Tech Research

The Debiased Lasso - Lecture 3

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Explore sparsity in high-dimensional statistics, focusing on confidence intervals and the Debiased Lasso method for parameter estimation and asymptotic normality.
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1 Lesons
58 minutes
On-Demand
Free-Video
Centre de recherches mathématiques - CRM

Adaptive Bayesian Predictive Inference

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Explore adaptive Bayesian predictive inference for high-dimensional sparse mean estimation, examining sparsity priors and their performance in predictive density estimation under Kullback-Leibler loss.
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1 Lesons
50 minutes
On-Demand
Free-Video
Georgia Tech Research

Combinatorial Testing Problems - Lecture 1

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Explore combinatorial testing problems, including hidden clique and high-dimensional random geometric graphs, with insights on statistical challenges and estimation techniques.
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1 Lesons
52 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 - Workshop on Randomness and Learning on Networks

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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.
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1 Lesons
57 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
Simons Institute

Can Non-Convex Optimization Be Robust?

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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.
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15 Lesons
46 minutes
On-Demand
Free-Video
Simons Institute

K-Means and K-Medians Under Dimension Reduction

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Explore k-means and k-medians clustering algorithms under dimension reduction, examining distortion graphs, cost analysis, and combinatorial lemmas for robust high-dimensional statistics.
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17 Lesons
42 minutes
On-Demand
Free-Video
Simons Institute

The Importance of Better Models in Stochastic Optimization

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Explore stochastic optimization models, focusing on robustness, stability, and asymptotic minimax theory. Learn about weak convexity, sharp growth problems, and practical experiments.
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16 Lesons
47 minutes
On-Demand
Free-Video
Fields Institute

Weaving Together Machine Learning, Theoretical Physics, and Neuroscience

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Exploring the intersection of machine learning, physics, and neuroscience through complex systems analysis to develop better algorithms and understand neural systems.
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27 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Paul G. Allen School

Statistical Applications of Wasserstein Gradient Flows

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Explore statistical applications of Wasserstein gradient flows in optimal transport, covering Otto calculus, Riemannian structures, and applications to variational inference and Gaussian mixture models.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Guaranteed Training of Neural Networks Using Tensor Methods - 2015

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Explore guaranteed neural network training using tensor methods. Learn about overcoming non-convexity, risk bounds, and combining unsupervised learning with supervised tasks.
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1 Lesons
1 hour 9 minutes
On-Demand
Free-Video
HUJI Machine Learning Club

Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models

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Delve into high-dimensional mean estimation in binary Markov Gaussian mixture models, exploring how memory in data affects estimation error and the interplay between sample size, dimension, and signal strength.
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1 Lesons
59 minutes
On-Demand
Free-Video
Georgia Tech Research

Compatibility and the Lasso - Lecture 2

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Explore compatibility and the Lasso in statistical learning with Sara van de Geer from ETH Zurich in this distinguished lecture on advanced machine learning techniques.
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1 Lesons
57 minutes
On-Demand
Free-Video
IPhT-TV

Mathematical Problems in Machine Learning - Part 2 of 4

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Explore mathematical foundations of machine learning with Andrea Montanari, focusing on key problems and theoretical concepts in the field.
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1 Lesons
54 minutes
On-Demand
Free-Video
IPhT-TV

Mathematical Problems in Machine Learning - Part 1 of 4

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Explore mathematical foundations of machine learning with Andrea Montanari, focusing on key problems and theoretical concepts in the field.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Banach Center

From Simplicity to Complexity: The Double Descent Effect in Modern Machine Learning

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Explore the double descent effect in modern machine learning, transitioning from simplicity to complexity. Gain insights into this intriguing phenomenon and its implications.
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1 Lesons
1 hour 24 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
IPhT-TV

Mathematical Problems in Machine Learning - Lecture 4/4

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Explore advanced mathematical concepts in machine learning, focusing on complex problem-solving techniques and theoretical foundations.
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1 Lesons
2 hours 6 minutes
On-Demand
Free-Video
IPhT-TV

Mathematical Problems in Machine Learning - Lecture 3/4

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Explore mathematical challenges in machine learning with Andrea Montanari, delving into advanced concepts and problem-solving techniques.
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1 Lesons
2 hours 12 minutes
On-Demand
Free-Video
IPhT-TV

Mathematical Problems in Machine Learning - Lecture 2/4

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Explore mathematical challenges in machine learning, focusing on advanced concepts and problem-solving techniques in this comprehensive lecture series.
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1 Lesons
2 hours 17 minutes
On-Demand
Free-Video