Playlist: 28 videos

Robust and High-Dimensional Statistics

0:49:1

Robust List Decoding of Spherical Gaussians

Daniel Kane (UC San Diego)
https://simons.berkeley.edu/talks/robust-list-decoding-spherical-gaussians
Robust and High-Dimensional Statistics
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0:43:33

Mixture Models, Robustness, and Sum of Squares Proofs

Jerry Li (Massachusetts Institute of Technology)
https://simons.berkeley.edu/talks/mixture-models-robustness-and-sum-squares-proofs
Robust and High-Dimensional Statistics
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0:48:11

Computational-Statistical Tradeoffs in Robust High-Dimensional Estimation

Ilias Diakonikolas (University of Southern California)
https://simons.berkeley.edu/talks/computational-statistical-tradeoffs-robust-high-dimensional-estimation
Robust and High-Dimensional Statistics
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0:41:9

Efficient Algorithms for Outlier-Robust Regression

Adam Klivans (University of Texas, Austin)
https://simons.berkeley.edu/talks/efficient-algorithms-outlier-robust-regression
Robust and High-Dimensional Statistics
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0:38:54

Detecting Weak Signals via Hypothesis Testing

Ravi Kannan (Microsoft Research India)https://simons.berkeley.edu/talks/detecting-weak-signals-hypothesis-testing
Robust and High-Dimensional Statistics
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0:42:33

On Using Graph Distances to Estimate Euclidean and Related Distances

Ery Arias-Castro (UC San Diego)
https://simons.berkeley.edu/talks/using-graph-distances-estimate-euclidean-and-related-distances
Robust and High-Dimensional Statistics
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0:46:58

The Importance of Better Models in Stochastic Optimization - Robustness, Fast Convergence, and Optimality

John Duchi (Stanford University)
https://simons.berkeley.edu/talks/tbd-28
Robust and High-Dimensional Statistics
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0:43:46

Invariance, Causality and Novel Robustness

Peter Bühlmann (ETH Zürich)
https://simons.berkeley.edu/talks/invariance-causality-and-novel-robustness
Robust and High-Dimensional Statistics
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0:41:12

Generalization Bounds for Uniformly Stable Algorithms

Vitaly Feldman (Google)
https://simons.berkeley.edu/talks/generalization-bounds-uniformly-stable-algorithms
Robust and High-Dimensional Statistics
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0:43:37

Orthogonal Machine Learning: Power and Limitations

Lester Mackey (Microsoft Research)
https://simons.berkeley.edu/talks/orthogonal-machine-learning-power-and-limitations
Robust and High-Dimensional Statistics
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