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30 Results
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Poster
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Mon 9:00 |
Universal approximation power of deep residual neural networks via nonlinear control theory Paulo Tabuada · Bahman Gharesifard |
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Spotlight
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Wed 5:35 |
Neural Approximate Sufficient Statistics for Implicit Models Yanzhi Chen · Dinghuai Zhang · Michael U Gutmann · Aaron Courville · Zhanxing Zhu |
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Spotlight
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Tue 3:35 |
Expressive Power of Invariant and Equivariant Graph Neural Networks Waïss Azizian · marc lelarge |
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Poster
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Thu 17:00 |
Minimum Width for Universal Approximation Sejun Park · Chulhee Yun · Jaeho Lee · Jinwoo Shin |
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Poster
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Thu 9:00 |
Blending MPC & Value Function Approximation for Efficient Reinforcement Learning Mohak Bhardwaj · Sanjiban Choudhury · Byron Boots |
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Poster
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Tue 9:00 |
DC3: A learning method for optimization with hard constraints Priya Donti · David Rolnick · Zico Kolter |
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Poster
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Mon 17:00 |
What are the Statistical Limits of Offline RL with Linear Function Approximation? Ruosong Wang · Dean Foster · Sham M Kakade |
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Poster
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Thu 1:00 |
ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations Rishabh Tiwari · Udbhav Bamba · Arnav Chavan · Deepak Gupta |
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Poster
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Tue 9:00 |
Rethinking Attention with Performers Krzysztof Choromanski · Valerii Likhosherstov · David Dohan · Xingyou Song · Georgiana-Andreea Gane · Tamas Sarlos · Peter Hawkins · Jared Q Davis · Afroz Mohiuddin · Lukasz Kaiser · David Belanger · Lucy J Colwell · Adrian Weller |
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Poster
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Tue 9:00 |
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval Lee Xiong · Chenyan Xiong · Ye Li · Kwok-Fung Tang · Jialin Liu · Paul N Bennett · Junaid Ahmed · Arnold Overwijk |
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Poster
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Thu 1:00 |
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks Shikuang Deng · Shi Gu |
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Poster
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Wed 9:00 |
Optimism in Reinforcement Learning with Generalized Linear Function Approximation Yining Wang · Ruosong Wang · Simon Du · Akshay Krishnamurthy |