Poster
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Functional Indirection Neural Estimator for Better Out-of-distribution Generalization
Kha Pham · Thai Hung Le · Man Ngo · Truyen Tran
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Poster
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Tue 9:00
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Structured Energy Network As a Loss
Jay Yoon Lee · Dhruvesh Patel · Purujit Goyal · Wenlong Zhao · Zhiyang Xu · Andrew McCallum
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Poster
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Thu 9:00
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Direct Advantage Estimation
Hsiao-Ru Pan · Nico Gürtler · Alexander Neitz · Bernhard Schölkopf
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Poster
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Wed 9:00
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Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection
Abir De · Soumen Chakrabarti
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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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Fri 9:00
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ESCHER: ESCHEWING IMPORTANCE SAMPLING IN GAMES BY COMPUTING A HISTORY VALUE FUNCTION TO ESTIMATE REGRET
Stephen McAleer · Gabriele Farina · Marc Lanctot · Tuomas Sandholm
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Poster
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Tue 14:00
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Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits
Yifei Wang · Tavor Baharav · Yanjun Han · Jiantao Jiao · David Tse
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Poster
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Tue 9:00
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Gradient Estimation with Discrete Stein Operators
Jiaxin Shi · Yuhao Zhou · Jessica Hwang · Michalis Titsias · Lester Mackey
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Poster
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Tue 9:00
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NSNet: A General Neural Probabilistic Framework for Satisfiability Problems
Zhaoyu Li · Xujie Si
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Poster
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Tue 14:00
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Fast Bayesian Estimation of Point Process Intensity as Function of Covariates
Hideaki Kim · Taichi Asami · Hiroyuki Toda
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Poster
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Thu 14:00
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Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions
Audrey Huang · Nan Jiang
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