Poster

Thu 9:00

Asymptotics of smoothed Wasserstein distances in the small noise regime
Yunzi Ding · Jonathan Niles-Weed

Poster

Tue 9:00

Low-rank Optimal Transport: Approximation, Statistics and Debiasing
Meyer Scetbon · Marco Cuturi

Poster

Thu 14:00

DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery
Marie Maros · Gesualdo Scutari

Poster

Thu 9:00

Acceleration in Distributed Sparse Regression
Marie Maros · Gesualdo Scutari

Poster

Thu 9:00

Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
Yiping Lu · Jose Blanchet · Lexing Ying

Poster

Tue 14:00

Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances
Sloan Nietert · Ziv Goldfeld · Ritwik Sadhu · Kengo Kato

Poster

Wed 9:00

Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means
Rong Yin · Yong Liu · Weiping Wang · Dan Meng

Poster

Thu 9:00

DP-PCA: Statistically Optimal and Differentially Private PCA
Xiyang Liu · Weihao Kong · Prateek Jain · Sewoong Oh

Poster

Misspecified Phase Retrieval with Generative Priors
Zhaoqiang Liu · Xinshao Wang · Jiulong Liu

Poster

Tue 9:00

Outlier-Robust Sparse Estimation via Non-Convex Optimization
Yu Cheng · Ilias Diakonikolas · Rong Ge · Shivam Gupta · Daniel Kane · Mahdi Soltanolkotabi

Poster

Wed 14:00

A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP
Fan Chen · Junyu Zhang · Zaiwen Wen