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Poster
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Thu 16:30
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Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity
Haoxuan Chen · Yinuo Ren · Lexing Ying · Grant Rotskoff
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Workshop
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Misspecified Q -Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error
Ally Du · Lin Yang · Ruosong Wang
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Poster
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Fri 11:00
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Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning
Adhyyan Narang · Andrew Wagenmaker · Lillian Ratliff · Kevin Jamieson
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Poster
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Wed 11:00
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Sample Complexity of Interventional Causal Representation Learning
Emre Acartürk · Burak Varıcı · Karthikeyan Shanmugam · Ali Tajer
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Poster
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Thu 11:00
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Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models
Ruofeng Yang · Zhijie Wang · Bo Jiang · Shuai Li
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Poster
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Thu 16:30
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Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity
Qian Yu · Yining Wang · Baihe Huang · Qi Lei · Jason Lee
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Poster
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Thu 16:30
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Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms
Marc Wanner · Laura Lewis · Chiranjib Bhattacharyya · Devdatt Dubhashi · Alexandru Gheorghiu
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Poster
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Fri 11:00
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On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks
Paolo Pellizzoni · Till Hendrik Schulz · Dexiong Chen · Karsten Borgwardt
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