Talks/Slides

This page includes only some of the selected talks and is updated infrequently.

Videos

Selected Talks:

Analysis of two-layer 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)


A Flexible Framework for Hypothesis Testing in High-Dimensions

  • 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 Incentive-Aware Learning: Robust Pricing in Contextual Auctions

  • 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 High-dimensions

  • 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

  • INFORMS annual meeting, Philadelphia, Nov 2015 (invited)


Debiasing the Lasso: Optimal Sample Size for Gaussian Designs [Slides]

  • Symposium on Sparse Modeling and Its Applications, UCLA, Statistics department, Oct 2015 (invited)


Nearly Optimal Sample Size in Hypothesis Testing for High-Dimensional Regression [Slides]

  • AIM workshop on Inference in High-Dimensional Regression, Palo Alto, 2015 (invited)

  • Allerton Conference on Communication, Control, and Computing, 2013


Reasoning about Uncertainty in High-Dimensional Statistics [Slides]

  • AIM workshop on Inference in High-Dimensional 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 Urbana-Champaign, 2013 (invited)

  • INFORMS annual meeting, Minneapolis, MN, 2013 (invited)


Learning Linear Bayesian Networks with Latent Variables [Slides]

  • Intl. Conference on Machine Learning (ICML), 2013.


Information-Theoretically 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 Urbana-Champaign (invited), 2013

  • Information Theory Forum, Stanford, 2013

  • University of Southern California (USC), Jan 2014 (invited talk)


Subsampling at Information Theoretically Optimal Rates [Slides]

  • IEEE Int. Symposium on Information Theory (ISIT), 2012


Minimax Risk of Truncated Series Estimators over Symmetric Convex Polytopes [Slides]

  • IEEE Int. Symposium on Information Theory (ISIT), 2012


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