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Poster
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Fri 8:30
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Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning
Ali Taghibakhshi · Scott MacLachlan · Luke Olson · Matthew West
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Spotlight
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Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning
Gen Li · Laixi Shi · Yuxin Chen · Yuantao Gu · Yuejie Chi
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Spotlight
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Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems
Suhas Kowshik · Dheeraj Nagaraj · Prateek Jain · Praneeth Netrapalli
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Workshop
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Near-Optimal No-Regret Learning in General Games
Constantinos Daskalakis · Maxwell Fishelson · Noah Golowich
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Workshop
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DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization
Boyue Li · Zhize Li · Yuejie Chi
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Poster
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Thu 16:30
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Risk Bounds and Calibration for a Smart Predict-then-Optimize Method
Heyuan Liu · Paul Grigas
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Poster
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Thu 0:30
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Instance-optimal Mean Estimation Under Differential Privacy
Ziyue Huang · Yuting Liang · Ke Yi
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Poster
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Thu 0:30
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Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors
Zhaoqiang Liu · Subhroshekhar Ghosh · Jonathan Scarlett
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Poster
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Thu 16:30
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A Biased Graph Neural Network Sampler with Near-Optimal Regret
Qingru Zhang · David Wipf · Quan Gan · Le Song
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Poster
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Fri 8:30
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Solving Graph-based Public Goods Games with Tree Search and Imitation Learning
Victor-Alexandru Darvariu · Stephen Hailes · Mirco Musolesi
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Datasets and Benchmarks
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MIND dataset for diet planning and dietary healthcare with machine learning: Dataset creation using combinatorial optimization and controllable generation with domain experts
Changhun Lee · Soohyeok Kim · Sehwa Jeong · Chiehyeon Lim · Jayun Kim · Yeji Kim · Minyoung Jung
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Workshop
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Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
Ben Eysenbach · Alexander Khazatsky · Sergey Levine · Russ Salakhutdinov
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