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Poster
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Thu 9:00
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Asymptotics of smoothed Wasserstein distances in the small noise regime
Yunzi Ding · Jonathan Niles-Weed
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Poster
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Tue 9:00
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Low-rank Optimal Transport: Approximation, Statistics and Debiasing
Meyer Scetbon · Marco Cuturi
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Poster
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Thu 14:00
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DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery
Marie Maros · Gesualdo Scutari
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Poster
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Thu 9:00
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Acceleration in Distributed Sparse Regression
Marie Maros · Gesualdo Scutari
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Poster
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Tue 14:00
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Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances
Sloan Nietert · Ziv Goldfeld · Ritwik Sadhu · Kengo Kato
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Poster
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Thu 9:00
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Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
Yiping Lu · Jose Blanchet · Lexing Ying
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Poster
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Wed 9:00
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Randomized Sketches for Clustering: Fast and Optimal Kernel kk-Means
Rong Yin · Yong Liu · Weiping Wang · Dan Meng
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Poster
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Thu 9:00
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DP-PCA: Statistically Optimal and Differentially Private PCA
Xiyang Liu · Weihao Kong · Prateek Jain · Sewoong Oh
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Poster
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Misspecified Phase Retrieval with Generative Priors
Zhaoqiang Liu · Xinshao Wang · Jiulong Liu
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Poster
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Tue 9:00
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Outlier-Robust Sparse Estimation via Non-Convex Optimization
Yu Cheng · Ilias Diakonikolas · Rong Ge · Shivam Gupta · Daniel Kane · Mahdi Soltanolkotabi
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Poster
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Wed 14:00
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A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP
Fan Chen · Junyu Zhang · Zaiwen Wen
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