Calendar

01/10/2017
- Matt Bonakdarpour, Tutorial on Stochastic Gradient Descent (Reference)
01/17/2017
- Wooseok Ha, Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression
01/24/2017
- Ran Dai, Stochastic Variance Reduction Methods for Saddle-Point Problems
01/31/2017
- Fengshuo Zhang, The Convex Geometry of Linear Inverse Problems
02/07/2017
- Fan Yang, Living on the edge: Phase Transition in Convex Programs with Random Data
02/14/2017
- Qinqing Zheng, Sharp Time-Data Tradeoffs for Linear Inverse Problems
02/21/2017
- Kelli-Jean Chun
02/28/2017
- Haoyang Liu
03/07/2017
- Bumeng Zhuo

11/08/2016
- Chao Gao, Low-Rank Estimation (Reference)
11/15/2016
- Rina Foygel Barber, Matrix Completion Under Monotonic Single Index Models
11/22/2016
- Bumeng Zhuo, Estimation of Non-Normalized Statistical Models by Score Matching
11/29/2016
- Haoyang Liu, Estimation of High-Dimensional Graphical Models Using Regularized Score Matching

03/29/2016
- Rina Foygel Barber, 1-Bit Matrix Completion
04/19/2016
- Chris McKennan, A multivariate nonparametric test of independence
- Discussants: Yuxue Qi, Bumeng Zhuo
04/26/2016
- Petr Panov, Classification with confidence
- Discussants: Fan Yang, Rob Webber
05/03/2016
- Haoyang Liu, Distribution-Free Predictive Inference For Regression
- Discussants: Yunfan Tang, Fengshuo Zhang
05/10/2016
- Youngseok Kim, Estimating False Discovery Proportion Under Arbitrary Covariance Dependence
- Discussants: Matt Bonakdarpour, Wooseok Ha
05/17/2016
- Minzhe Wang, Maximum Likelihood Estimation and Inference for Approximate Factor Models of High Dimension
- Discussants: Jon Eskreis-Winkler, Chris McKennan
05/24/2016
- Fengshuo Zhang, Dynamic stochastic blockmodels: Statistical models for time-evolving networks
- Discussants: Haoyang Liu, Youngseok Kim

01/08/2016 (NIPS Review - Week 1)
- Wooseok Ha, Newton-Stein Method: A Second Order Method for GLMs via Stein’s Lemma
- Matt Bonakdarpour, Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems
01/22/2016 (NIPS Review - Week 2)
- Zhe Liu, Regularization Path of Cross-Validation Error Lower Bounds
- Yi Ding, Matrix Completion Under Monotonic Single Index Models
01/29/2016 (NIPS Review - Week 3)
- Minzhe Wang, Private Graphon Estimation for Sparse Graphs
02/05/2016 (NIPS Review - Week 4)
- Jonathan Eskreis-Winkler, Fast, Provable Algorithms for Isotonic Regression in all L_p-norms
- Chris McKennan, Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models
02/12/2016 (NIPS Review - Week 5)
- Diana Cai, Fast and Guaranteed Tensor Decomposition via Sketching
02/19/2016 (NIPS Review - Week 6)
- Fengshuo Zhang, On the consistency theory of high dimensional variable screening
- Haoyang Liu, Information-theoretic lower bounds for distributed statistical estimation with communication constraints
03/04/2016
- Wooseok Ha, A Subspace Learning Approach to High-Dimensional Matrix Decomposition with Efficient Information Sampling
03/11/2016
- Matt Bonakdarpour, Topic Modeling with Nonnegative Matrix Factorizations

10/23/2015
- Vivak Patel, Nonlinear Optimization (Tutorial)
10/30/2015
- Nikita Mishra, A General Analysis of the Convergence of ADMM
11/06/2015
- Yuancheng Zhu, Information Theory (Tutorial)
11/13/2015
- Fan Yang, Minimax rates of estimation for high-dimensional linear regression over ℓq-balls
11/20/2015
- Si Tang, Eigenvalues of Random Matrices (Tutorial)
12/04/2015
- John Santerre, Problems in Computational Biology