Talks/Slides
This page includes only some of the selected talks and is updated infrequently.
Videos
Selected Talks:
Precise Tradeoffs in Adversarial Training for Linear Regression
Department of Statistics, UIUC, March 2021
Decision Sciences Group, Duke University, March 2021
Yale Data Science and Statistics Seminar, December 2020
CMU Statistics and Data Science Seminar, October 2020
Thirtythird Annual Conference on Learning Theory, July 2020
Statistical Inference for HighDimensional Models
Analysis of twolayer neural networks via displacement convexity
Rough Landscapes: From Physics to Algorithms, Kavli Institute for Theoretical Physics, 2019 (invited)
Wilks seminar in Statistics, Princeton ORFE, 2019 (invited)
“Sparsity, Randomness, and Optimization” Session at the AMS Sectional Meeting, University of Hawaii, 2019 (invited)
International Conference on Continuous Optimization (ICCOPT), Berlin, Germany, 2019 (invited)
INFORMS Annual Meeting, Seattle, WA, 2019 (invited)
Invited talk at Institute for Outlier Research (iORB) miniconference, USC Marshall, December 2019.
A Flexible Framework for Hypothesis Testing in HighDimensions
Simons Institute for the Theory of Computing (Foundations of Data Science Program), 2018
(invited)
Information Theory and Applications Workshop (ITA), 2018 (invited)
Conference on Information Sciences and Systems (CISS), Princeton, 2018 (invited)
Dynamic IncentiveAware Learning: Robust Pricing in Contextual Auctions
Invited talk at ISE seminar, University of Southern California, October 2020
Invited talk at IEOR/DRO seminar, Columbia University, October 2020
Conference on Neural Information Processing Systems, Vancouver, Canada, 2019 [Slides]
INFORMS Annual Meeting, Seattle, WA, 2019 (invited)
Simons Institute for the Theory of Computing (Foundations of Data Science Program), 2018
(invited)
Google Research, New York, 2018 (invited)
MIT Stochastics and Statistics Seminar, 2018 (invited)
Dynamic Pricing in Highdimensions
Information Theory and Applications Workshop (ITA), 2017 (invited)
MIT Operation Research Seminar, 2017 (invited)
INFORMS Annual Meeting, Houston, TX, 2017 (invited)
Online Control of False Discovery Rate
10th International Conference on Multiple Comparison Procedures, 2017 (invited)
Probability and Statistics seminar, Math Department, University of Southern California, Jan 2017
INFORMS Annual Meeting, Nashville, TN, Nov 2016 (invited)
Joint Statistical Meetings, Seattle, Aug 2015 (invited)
Statistical Learning and Data Science Conference, University of North Carolina, Chapel Hill, June 2016 (invited).
Phase Transitions in Semidefinite Programming
CommNetS Seminar, Electrical Engineering Department, University of Southern California, Jan 2016 (invited)
Extracting Biomedical Relationships from Unstructured Documents
Debiasing the Lasso: Optimal Sample Size for Gaussian Designs [Slides]
Nearly Optimal Sample Size in Hypothesis Testing for HighDimensional Regression [Slides]
AIM workshop on Inference in HighDimensional Regression, Palo Alto, 2015 (invited)
Allerton Conference on Communication, Control, and Computing, 2013
Reasoning about Uncertainty in HighDimensional Statistics [Slides]
AIM workshop on Inference in HighDimensional Regression, Palo Alto, Jan 2015 (invited talk)
UC Berkeley, NCD Seminar, Nov 2014 (invited)
Massachusetts Institute of Technology (MIT), Mar 2014 (invited)
University of California, Los Angeles (UCLA), Mar 2014 (invited)
Princeton University, Feb 2014 (invited)
University of California, San Diego (UCSD), Feb 2014 (invited)
University of Washington, Feb 2014 (invited)
Microsoft Research, NYC, Feb 2014 (invited)
Wharton School of the University of Pennsylvania, Feb 2014 (invited)
Yale University, Feb 2014 (invited)
University of Southern California (USC), Jan 2014 (invited)
Microsoft Research, Silicon Valley, Jan 2014 (invited)
ISE seminar, University of Illinois at UrbanaChampaign, 2013 (invited)
INFORMS annual meeting, Minneapolis, MN, 2013 (invited)
Learning Linear Bayesian Networks with Latent Variables [Slides]
InformationTheoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing [Slides]
IEEE Int. Symposium on Information Theory (ISIT), 2012
Asilomar Conference on Signals, Systems, and Computers (invited), 2012
Communications/ICWS seminar, University of illinois at UrbanaChampaign (invited), 2013
Information Theory Forum, Stanford, 2013
University of Southern California (USC), Jan 2014 (invited talk)
Subsampling at Information Theoretically Optimal Rates [Slides]
Minimax Risk of Truncated Series Estimators over Symmetric Convex Polytopes [Slides]
Localization from Incomplete Noisy Distance Measurements [Slides] [Video]
IEEE Int. Symposium on Information Theory (ISIT), 2011
Theory seminar, Microsoft Research Silicon Valley, 2011
IDEAL group, Stanford University, 2011
