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Poster
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Wed 16:30 |
A Max-Min Entropy Framework for Reinforcement Learning Seungyul Han · Youngchul Sung |
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Poster
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Fri 8:30 |
Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels Stefani Karp · Ezra Winston · Yuanzhi Li · Aarti Singh |
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Poster
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Wed 16:30 |
Does Preprocessing Help Training Over-parameterized Neural Networks? Zhao Song · Shuo Yang · Ruizhe Zhang |
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Poster
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Wed 0:30 |
Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks Dmitry Kovalev · Elnur Gasanov · Alexander Gasnikov · Peter Richtarik |
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Workshop
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Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization Zihan Zhou · Wei Fu · Bingliang Zhang · Yi Wu |
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Poster
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Tue 16:30 |
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs Zihang Meng · Lopamudra Mukherjee · Yichao Wu · Vikas Singh · Sathya Ravi |
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Poster
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Thu 16:30 |
Sample Selection for Fair and Robust Training Yuji Roh · Kangwook Lee · Steven Whang · Changho Suh |
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Poster
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Tue 8:30 |
Accurate Point Cloud Registration with Robust Optimal Transport Zhengyang Shen · Jean Feydy · Peirong Liu · Ariel H Curiale · Ruben San Jose Estepar · Raul San Jose Estepar · Marc Niethammer |
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Poster
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Wed 0:30 |
Differentiable Synthesis of Program Architectures Guofeng Cui · He Zhu |
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Poster
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Tue 8:30 |
Piper: Multidimensional Planner for DNN Parallelization Jakub Tarnawski · Deepak Narayanan · Amar Phanishayee |
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Poster
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Thu 8:30 |
Faster Neural Network Training with Approximate Tensor Operations Menachem Adelman · Kfir Levy · Ido Hakimi · Mark Silberstein |
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Poster
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Wed 0:30 |
IQ-Learn: Inverse soft-Q Learning for Imitation Divyansh Garg · Shuvam Chakraborty · Chris Cundy · Jiaming Song · Stefano Ermon |