Tutorials and Lecture Series
Reinforcement Learning: Fundamentals, Algorithms, and Theory
ICASSP 2022, together with Yuting Wei and Yuejie Chi
Statistical and algorithmic foundations of reinforcement learning
ICSA Applied Statistics Symposium 2021, together with Yuting Wei, Yuejie Chi and Zhengyuan Zhou
Taming nonconvexity in information science
ITW 2018, together with Yuejie Chi
Recent advances in nonconvex methods for highdimensional estimation
ICASSP 2018, together with Yuejie Chi and Yue Lu
TRIAD Lecture Series 2019, Georgia Tech
The power of nonconvex optimization in solving random quadratic systems of equations
Random initialization and implicit regularization in nonconvex statistical estimation
Projected power method: an efficient nonconvex algorithm for joint discrete assignment
Spectral methods meets asymmetry: two recent stories
Inference and uncertainty quantification for noisy matrix completion
Invited Talks
Inference and uncertainty quantification for lowrank models
Statistics Seminar, UIUC, Oct. 2021
Data Science Seminar, JHU, Oct. 2021
Demystifying the efficiency of reinforcement learning: a few recent stories
IEOR/DRO Seminar, Columbia University, Sep. 2021
ISL Colloquium, Electrical Engineering, Stanford University, Apr. 2021
ESE Seminar Series, University of Pennsylvania, May 2021
Frontiers in Computing and Mathematical Sciences, Caltech, Feb. 2021
Operation Research Seminar, Chinese Operation Research Society, Sep. 2020
On the effectiveness of nonconvex optimization in reinforcement learning
Semiautonomous Seminar, University of California, Berkeley, Oct. 2021
ICERM Workshop on Advances in Theory and Algorithms for Deep Reinforcement Learning, Aug. 2021
Taming nonconvexity in tensor completion: Fast convergence and uncertainty quantification
IPAM Workshop on Efficient Tensor Representations for Learning and Computational Complexity, May 2021.
Department Seminar, Statistics Department, Harvard University, Feb. 2021
Department Seminar, Department of Data Sciences and Operations, University of Southern California, Feb. 2021
Taming nonconvexity in statistical and reinforcement learning
Department Seminar, Department of Electrical Engineering, Yale University, Feb. 2021
ECSE Seminar Series, RPI, Feb. 2021
Breaking the sample size barrier in reinforcement learning via modelbased approaches (a.k.a. plugin approaches)
Neyman Seminar, Statistics Department, UC Berkeley, Nov. 2020
Nonconvex optimization meets statistics: a few recent stories
Department Seminar, Electrical and Computer Engineering, Carnegie Mellon University, Jan. 2021
Communications and Signal Processing seminar, University of Michigan, March 2020
TBSI Workshop on Data Science, Shenzhen, December 2019
Penn Research in Machine Learning Seminar, University of Pennsylvania, Oct. 2019
ORIE Colloquium Seminar Series, Cornell University, Oct. 2019
Inference and uncertainty quantification for noisy matrix completion
ICSA International Conference, Hangzhou, December 2019
Bridging convex and nonconvex optimization in noisy matrix completion: stability and uncertainty quantification
MIFODS Workshop on Graphical Models, MIT, August 2019
International Conference on Continuous Optimization (ICCOPT), Berlin, August 2019
Statistics Seminar, Stanford University, May 2019
Statistics Colloquium, University of Chicago, May 2019
PACM Colloquium, Princeton University, May 2019
Stability, nonconvex optimization, and asymmetry in lowrank matrix estimation
TRIPODS Seminar, University of Arizona, Feb. 2019
Noisy matrix completion: understanding statistical guarantees of convex relaxation via nonconvex optimization
Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, Nov. 2019
INFORMS Annual Meeting, Seattle, Oct. 2019
Information Theory and Its Applications (ITA) Workshop, San Diego, Feb. 2019
Random initialization and implicit regularization in nonconvex statistical estimation
TRIPODS Southwest Summer Conference, May 2019
Signal and Information Processing (SIP) Seminar, Rutgers University, Mar. 2019
KITP Conference ‘‘Rough Landscapes: From Physics to Algorithms’’, UCSB, Jan. 2019
International Workshop on Mathematical Issues in Information Sciences (MIIS), Shenzhen, Dec. 2018
MaD (Math and Data) Seminar, NYU Courant Institute and Center for Data Science, Nov. 2018
INFORMS Annual Meeting, Phoenix, Nov. 2018
Optimization Seminar, ORFE, Princeton University, Oct. 2018
Department Seminar, Department of Statistics and Data Science, Yale University, Oct. 2018
56th Annual Allerton Conference on Communication, Control, and Computing, Monticello, Oct. 2018
ISE Department Seminar, University of Southern California, Sep. 2018
London Workshop on Nonconvex Optimisation and Matrix Factorisation, Sep. 2018
Wharton Statistics Department Seminar, University of Pennsylvania, Sep. 2018
Statistics Research Colloquium, Purdue University, Sep. 2018
ICSA China Conference with the Focus on Data Science, Qingdao, July 2018
ICSA 2018 Applied Statistics Symposium, New Brunswick, June 2018
Joint ISL Colloquium and IT Forum, Stanford University, May 2018
Oberwolfach Workshop on Applied Harmonic Analysis and Data Processing, Mar. 2018
Colloquium, Statistics Department, PSU, Apr. 2018
Asymmetry helps: Eigenvalue and eigenvector analyses of asymmetrically perturbed lowrank matrices
CMStatistics, Pisa, Dec. 2018
Implicit regularization in nonconvex statistical estimation
INFORMS Annual Meeting, Phoenix, Oct. 2019
Information Theory and Its Applications (ITA) Workshop, San Diego, Feb. 2018
Data Science Seminar series, Institute for Mathematics and its Applications (IMA), Jan. 2018
International Conference on Data Science, Shanghai, Dec. 2017
Signal Processing and Communications Seminar Series, University of Delaware, Dec. 2017
Simons Institute Workshop on Optimization, Statistics and Uncertainty, Berkeley, Nov. 2017
50th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, Oct. 2017
Statistics Seminar, Columbia University, Oct. 2017
Regularized mirror descent: A nonconvex approach for learning mixed probability distributions
55th Annual Allerton Conference on Communication, Control, and Computing, Monticello, Oct. 2017
Spectral method and regularized MLE are both optimal for topK ranking
Joint Statistical Meetings (JSM), Baltimore, Aug. 2017
The projected power method: a nonconvex algorithm for discrete problems
Electrical Engineering Seminar Series, Harvard University, Apr. 2017
‘‘The effectiveness of nonconvex optimization in two problems’’
Statistics Seminar, NYU Stern School of Business, New York, Mar. 2017
IDeAS Seminar, Princeton University, Mar. 2017
The projected power method: an efficient algorithm for joint alignment from pairwise differences
Information Theory and Applications (ITA) Workshop, San Diego, Feb. 2017
Meeting of the International Linear Algebra Society, July 2017
SIAM Conference on Optimization, Vancouver, May 2017
Stanford Wireless Systems Lab, Stanford, Jan. 2017
CMOBIRS Workshop: Applied Harmonic Analysis, Massive Data Sets, Machine Learning, and Signal Processing, Oaxaca, Oct. 2016
54th Annual Allerton Conference on Communication, Control, and Computing, Monticello, Sep. 2016
Solving random quadratic systems of equations is nearly as easy as solving linear systems
ShanghaiTech Symposium on Information Science and Technology (SSIST) 2017, Shanghai, July 2017
International Conference on Continuous Optimization (ICCOPT), Berlin, August 2019
50th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, Nov. 2016
World Congress in Probability and Statistics, Toronto, July 2016
Workshop on Sensing and Analysis of HighDimensional Data (SAHD), Duke University, July 2015
The power of nonconvex paradigms for highdimensional estimation
MIT EECS, Princeton EE/CS, USC CS/ISE, CMU MLD, UMich ECE/MIDAS, Columbia EE/IEOR, Cornell ECE, UC Davis ECE, NYU ECE, Jan. 2016 – Mar. 2016
Modern optimization meets physics: recent progress on phase retrieval
International Matheon Conference on Compressed Sensing and its Applications (CSA),
Berlin, Dec. 2015
Nearoptimal joint object matching via convex relaxation
INFORMS Annual Meeting, Phoenix, Nov. 2018
IDeAS Seminar, Princeton University, Apr. 2014
Information Initiative at Duke (iiD) Seminar, Duke University, Apr. 2014
Center for Signal and Information Processing (CSIP) Seminar, Georgia Tech, Mar. 2014
