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

Functional Indirection Neural Estimator for Better Out-of-distribution Generalization
Kha Pham · Thai Hung Le · Man Ngo · Truyen Tran

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 9:00

Structured Energy Network As a Loss
Jay Yoon Lee · Dhruvesh Patel · Purujit Goyal · Wenlong Zhao · Zhiyang Xu · Andrew McCallum

Poster

Tue 14:00

On the inability of Gaussian process regression to optimally learn compositional functions
Matteo Giordano · Kolyan Ray · Johannes Schmidt-Hieber

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 14:00

Fast Bayesian Estimation of Point Process Intensity as Function of Covariates
Hideaki Kim · Taichi Asami · Hiroyuki Toda

Poster

Tue 9:00

NSNet: A General Neural Probabilistic Framework for Satisfiability Problems
Zhaoyu Li · Xujie Si

Poster

Thu 14:00

Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions
Audrey Huang · Nan Jiang