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11 Results

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