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Poster
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Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks Xingsi Dong · Zilong Ji · Tianhao Chu · Tiejun Huang · Wenhao Zhang · Si Wu |
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Poster
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Thu 14:00 |
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 |
A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation Philip Amortila · Nan Jiang · Dhruv Madeka · Dean Foster |
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Poster
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Tue 9:00 |
Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation Jannik Kossen · Sebastian Farquhar · Yarin Gal · Thomas Rainforth |
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Poster
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Tue 9:00 |
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization Hui Yuan · Chengzhuo Ni · Huazheng Wang · Xuezhou Zhang · Le Cong · Csaba Szepesvari · Mengdi Wang |
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Poster
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Thu 9:00 |
Finite-Sample Maximum Likelihood Estimation of Location Shivam Gupta · Jasper Lee · Eric Price · Paul Valiant |
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Poster
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Wed 14:00 |
A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training Randall Balestriero · Ishan Misra · Yann LeCun |
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Poster
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Wed 9:00 |
Sample-Then-Optimize Batch Neural Thompson Sampling Zhongxiang Dai · YAO SHU · Bryan Kian Hsiang Low · Patrick Jaillet |
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Poster
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Tue 14:00 |
On the inability of Gaussian process regression to optimally learn compositional functions Matteo Giordano · Kolyan Ray · Johannes Schmidt-Hieber |
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Poster
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Tue 9:00 |
Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games Ziang Song · Song Mei · Yu Bai |
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Poster
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Wed 14:00 |
Sample-Efficient Reinforcement Learning of Partially Observable Markov Games Qinghua Liu · Csaba Szepesvari · Chi Jin |
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Poster
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Thu 14:00 |
Deep Fourier Up-Sampling man zhou · Hu Yu · Jie Huang · Feng Zhao · Jinwei Gu · Chen Change Loy · Deyu Meng · Chongyi Li |