93 Results

Poster	Tue 9:00	Low-rank Optimal Transport: Approximation, Statistics and Debiasing Meyer Scetbon · Marco Cuturi
Poster	Wed 14:00	Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity Ron Fisher · Dan Garber
Workshop		Matrix Estimation for Offline Evaluation in Reinforcement Learning with Low-Rank Structure Xumei Xi · Christina Yu · Yudong Chen
Poster	Thu 14:00	The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound Liam O'Carroll · Vaidehi Srinivas · Aravindan Vijayaraghavan
Poster	Wed 9:00	Low-Rank Modular Reinforcement Learning via Muscle Synergy Heng Dong · Tonghan Wang · Jiayuan Liu · Chongjie Zhang
Poster	Thu 14:00	Faster Linear Algebra for Distance Matrices Piotr Indyk · Sandeep Silwal
Poster	Thu 14:00	Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems Yue Kang · Cho-Jui Hsieh · Thomas Chun Man Lee
Poster	Tue 9:00	Extracting computational mechanisms from neural data using low-rank RNNs Adrian Valente · Jonathan Pillow · Srdjan Ostojic
Poster	Thu 9:00	A sharp NMF result with applications in network modeling Jiashun Jin
Poster	Thu 14:00	The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation? Jean Barbier · TianQi Hou · Marco Mondelli · Manuel Saenz
Poster	Wed 9:00	Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations Steffen Schotthöfer · Emanuele Zangrando · Jonas Kusch · Gianluca Ceruti · Francesco Tudisco
Workshop	Fri 12:15	Low Rank Approximation for Faster Convex Optimization Madeleine Udell