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