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86 Results
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Poster
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Tue 8:30 |
Exploiting a Zoo of Checkpoints for Unseen Tasks Jiaji Huang · Qiang Qiu · Kenneth Church |
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Poster
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Thu 16:30 |
Self-Adaptable Point Processes with Nonparametric Time Decays Zhimeng Pan · Zheng Wang · Jeff M Phillips · Shandian Zhe |
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Poster
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Fri 8:30 |
Risk-averse Heteroscedastic Bayesian Optimization Anastasia Makarova · Ilnura Usmanova · Ilija Bogunovic · Andreas Krause |
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Poster
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Thu 0:30 |
Personalized Federated Learning With Gaussian Processes Idan Achituve · Aviv Shamsian · Aviv Navon · Gal Chechik · Ethan Fetaya |
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Poster
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Thu 16:30 |
Dynamic COVID risk assessment accounting for community virus exposure from a spatial-temporal transmission model Yuan Chen · Wenbo Fei · Qinxia Wang · Donglin Zeng · Yuanjia Wang |
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Poster
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Fri 8:30 |
EDGE: Explaining Deep Reinforcement Learning Policies Wenbo Guo · Xian Wu · Usmann Khan · Xinyu Xing |
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Poster
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Thu 8:30 |
On the Sample Complexity of Learning under Geometric Stability Alberto Bietti · Luca Venturi · Joan Bruna |
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Poster
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Tue 8:30 |
Kernel Identification Through Transformers Fergus Simpson · Ian Davies · Vidhi Lalchand · Alessandro Vullo · Nicolas Durrande · Carl Edward Rasmussen |
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Poster
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Wed 0:30 |
Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space Taiji Suzuki · Atsushi Nitanda |
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Poster
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Thu 8:30 |
Deep Networks Provably Classify Data on Curves Tingran Wang · Sam Buchanan · Dar Gilboa · John Wright |
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Poster
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Thu 8:30 |
Framing RNN as a kernel method: A neural ODE approach Adeline Fermanian · Pierre Marion · Jean-Philippe Vert · Gérard Biau |
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Oral
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Tue 0:00 |
Framing RNN as a kernel method: A neural ODE approach Adeline Fermanian · Pierre Marion · Jean-Philippe Vert · Gérard Biau |