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Poster
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Tue 14:00
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On the inability of Gaussian process regression to optimally learn compositional functions
Matteo Giordano · Kolyan Ray · Johannes Schmidt-Hieber
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Workshop
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Mixed-Memory RNNs for Learning Long-term Dependencies in Irregularly-sampled Time Series
Mathias Lechner · Ramin Hasani
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Workshop
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Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance
Yanqiu Wu · Xinyue Chen · Che Wang · Yiming Zhang · Keith Ross
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Workshop
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Sample-efficient Adversarial Imitation Learning
Dahuin Jung · Hyungyu Lee · Sungroh Yoon
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Poster
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Effective Backdoor Defense by Exploiting Sensitivity of Poisoned Samples
Weixin Chen · Baoyuan Wu · Haoqian Wang
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Poster
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Thu 14:00
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Adversarial Task Up-sampling for Meta-learning
Yichen WU · Long-Kai Huang · Ying Wei
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Poster
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Wed 9:00
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Sample Complexity of Learning Heuristic Functions for Greedy-Best-First and A* Search
Shinsaku Sakaue · Taihei Oki
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Poster
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Tue 14:00
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Planning for Sample Efficient Imitation Learning
Zhao-Heng Yin · Weirui Ye · Qifeng Chen · Yang Gao
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Poster
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Tue 9:00
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Regret Bounds for Information-Directed Reinforcement Learning
Botao Hao · Tor Lattimore
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Poster
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Thu 9:00
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Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
Colin Wei · Yining Chen · Tengyu Ma
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Workshop
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Action Matching: A Variational Method for Learning Stochastic Dynamics from Samples
Kirill Neklyudov · Daniel Severo · Alireza Makhzani
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Workshop
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Biological Neurons vs Deep Reinforcement Learning: Sample efficiency in a simulated game-world
Forough Habibollahi · Moein Khajehnejad · Amitesh Gaurav · Brett J. Kagan
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