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192 Results
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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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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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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 |
AutoML Two-Sample Test Jonas M. Kübler · Vincent Stimper · Simon Buchholz · Krikamol Muandet · Bernhard Schölkopf |
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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 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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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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Tue 9:00 |
Provably sample-efficient RL with side information about latent dynamics Yao Liu · Dipendra Misra · Miro Dudik · Robert Schapire |
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Poster
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Multi-Sample Training for Neural Image Compression Tongda Xu · Yan Wang · Dailan He · Chenjian Gao · Han Gao · Kunzan Liu · Hongwei Qin |
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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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Tue 9:00 |
A permutation-free kernel two-sample test Shubhanshu Shekhar · Ilmun Kim · Aaditya Ramdas |
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Poster
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Thu 14:00 |
Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions Audrey Huang · Nan Jiang |