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Workshop
Exploring Human-AI Collaboration for Fair Algorithmic Hiring
Hyun Joo Shin · Anqi Liu
Workshop
Human-Centered Algorithmic Decision-Making in Higher Education
Kelly McConvey · Anastasia Kuzminykh · Shion Guha
Workshop
The Challenges and Opportunities in Overcoming Algorithm Aversion in Human-AI Collaboration
Lingwei Cheng · Alexandra Chouldechova
Workshop
Implicit Offline Reinforcement Learning via Supervised Learning
Alexandre Piche · Rafael Pardinas · David Vazquez · Igor Mordatch · Igor Mordatch · Chris Pal
Workshop
TiAda: A Time-scale Adaptive Algorithm For Nonconvex Minimax Optimization
Xiang Li · Junchi YANG · Niao He
Workshop
A Novel Stochastic Gradient Descent Algorithm for LearningPrincipal Subspaces
Charline Le Lan · Joshua Greaves · Jesse Farebrother · Mark Rowland · Fabian Pedregosa · Rishabh Agarwal · Marc Bellemare
Workshop
Out-of-Distribution Generalization in Algorithmic Reasoning Through Curriculum Learning
Andrew Nam · Mustafa Abdool · Trevor Maxfield · James McClelland
Workshop
In-context Reinforcement Learning with Algorithm Distillation
Michael Laskin · Luyu Wang · Junhyuk Oh · Emilio Parisotto · Stephen Spencer · Richie Steigerwald · DJ Strouse · Steven Hansen · Angelos Filos · Ethan Brooks · Maxime Gazeau · Himanshu Sahni · Satinder Singh · Volodymyr Mnih
Workshop
A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift
Defu Cao · Yousef El-Laham · Loc Trinh · Svitlana Vyetrenko · Yan Liu
Workshop
A Unified Framework for Comparing Learning Algorithms
Harshay Shah · Sung Min Park · Andrew Ilyas · Aleksander Madry
Workshop
Benchmarking Offline Reinforcement Learning Algorithms for E-Commerce Order Fraud Evaluation
Soysal Degirmenci · Christopher S Jones
Workshop
On the Impact of Adversarially Robust Models on Algorithmic Recourse
Satyapriya Krishna · Chirag Agarwal · Himabindu Lakkaraju