• Click on the titles of individual talks for abstract, slides and archived video.

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Coffee and Check-In
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Opening Remarks
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Robust List Decoding of Spherical Gaussians

Daniel Kane (UC San Diego)
Video
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Mixture Models, Robustness, and Sum of Squares Proofs

Jerry Li (Microsoft Research)
Video
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Break
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Computational-Statistical Tradeoffs in Robust High-Dimensional Estimation

Ilias Diakonikolas (University of Wisconsin-Madison)
Video
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Lunch
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Efficient Algorithms for Outlier-Robust Regression

Adam Klivans (University of Texas, Austin)
Video
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Detecting Weak Signals via Hypothesis Testing

Ravi Kannan (Simons Institute, UC Berkeley)
Video
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Break
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On Using Graph Distances to Estimate Euclidean and Related Distances

Ery Arias-Castro (University of California, San Diego)
Video
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The Importance of Better Models in Stochastic Optimization - Robustness, Fast Convergence, and Optimality

John Duchi (Stanford University)
Video
Reception
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Coffee and Check-In
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Invariance, Causality and Novel Robustness

Peter Bühlmann (ETH Zürich)
Video
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Generalization Bounds for Uniformly Stable Algorithms

Vitaly Feldman (Apple)
Video
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Break
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Orthogonal Machine Learning: Power and Limitations

Lester Mackey (Microsoft Research)
Video
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Lunch
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Some Problems of Robust High-dimensional Statistics

Gilad Lerman (University of Minnesota)
Video
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TAP Free Energy, Spin Glasses, and Variational Inference

Zhou Fan (Yale University)
Video
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Break
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A Modern Maximum-Likelihood Theory for High-Dimensional Logistic Regression

Pragya Sur (Stanford University)
Video
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Robustness in High-Dimensional Inference Tasks

Jelena Bradic (UC San Diego)
Video
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Coffee and Check-In
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Controlling FDR While Highlighting Selected Discoveries

Chiara Sabatti (Stanford University)
Video
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The Robustness of Controlling the False Discovery Rate

Weijie Su (Department of Statistics, the Wharton School, UPenn)
Video
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Break
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A Flexible Framework for Hypothesis Testing in High-Dimensions

Adel Javanmard (University of Southern California (USC))
Video
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Lunch
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Lightning Talks
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Coffee and Check-In
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Robust Sparse Covariance Estimation by Thresholding Tyler's M-estimator

Boaz Nadler (Weizmann Institute of Science)
Video
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Sub-Gaussian Mean Estimation in Polynomial Time

Samuel Hopkins (UC Berkeley)
Video
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Break
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Robust Estimation and Generative Adversarial Nets

Chao Gao (University of Chicago)
Video
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Lunch
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Can Non-Convex Optimization be Robust?

Rong Ge (Duke University)
Video
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Semi-Random Models and Robustness in Unsupervised Learning

Aravindan Vijayaraghavan (Northwestern University)
Video
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Break
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Optimally Weighted PCA for High-Dimensional Heteroscedastic Data

Laura Balzano (University of Michigan)
Video
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How Many Directions Determine a Shape: A VC Theory for Modulii Spaces of Shapes

Sayan Mukherjee (Duke University)
Video
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Coffee and Check-In
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Scale Calibration for High-Dimensional Robust Regression

Po-Ling Loh (University of Wisconsin, Madison)
Video
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k-means and k-medians under Dimension Reduction

Yury Makarychev (Toyota Technological Institute at Chicago)
Video
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Break
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Efficient Profile Maximum Likelihood for Universal Symmetric Property Estimation

Moses Charikar (Stanford University)
Video
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Realizing Robustness

Gautam Kamath (University of Waterloo)
Video