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Poster
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Wed 17:00
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A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks
Renjie Liao · Raquel Urtasun · Richard Zemel
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Workshop
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Fri 7:10
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Poster Spotlight "Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure"
Zhijie Deng
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Poster
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Mon 9:00
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A statistical theory of cold posteriors in deep neural networks
Laurence Aitchison
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Poster
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Thu 17:00
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DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation
Minjia Zhang · Menghao Li · Chi Wang · Mingqin Li
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Poster
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Mon 1:00
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On the Universality of the Double Descent Peak in Ridgeless Regression
David Holzmüller
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Oral
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Thu 0:30
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Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime
Atsushi Nitanda · Taiji Suzuki
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Spotlight
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Wed 20:50
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CPT: Efficient Deep Neural Network Training via Cyclic Precision
Yonggan Fu · Han Guo · Meng Li · Xin Yang · Yining Ding · Vikas Chandra · Yingyan Lin
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Spotlight
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Thu 3:15
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Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic
Deunsol Yoon · Sunghoon Hong · Byung-Jun Lee · Kee-Eung Kim
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Poster
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Tue 17:00
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SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning
Myeongjang Pyeon · Jihwan Moon · Taeyoung Hahn · Gunhee Kim
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Spotlight
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Tue 5:28
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Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies
Dominik Schmidt · Georgia Koppe · Zahra Monfared · Max Beutelspacher · Daniel Durstewitz
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Spotlight
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Tue 12:50
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Learning from Protein Structure with Geometric Vector Perceptrons
Bowen Jing · Stephan Eismann · Patricia Suriana · Raphael J Townshend · Ron Dror
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Spotlight
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Tue 20:10
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Minimum Width for Universal Approximation
Sejun Park · Chulhee Yun · Jaeho Lee · Jinwoo Shin
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