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18 Results
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Poster
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Tue 14:00 |
Diversified Recommendations for Agents with Adaptive Preferences William Brown · Arpit Agarwal |
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Poster
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Thu 14:00 |
Fair and Efficient Allocations Without Obvious Manipulations Alexandros Psomas · Paritosh Verma |
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Poster
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Wed 9:00 |
Online Algorithms for the Santa Claus Problem Max Springer · MohammadTaghi Hajiaghayi · Debmalya Panigrahi · Mohammad Khani |
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Poster
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Wed 14:00 |
[Re] Replication Study of "Fairness and Bias in Online Selection" Roxana-Maria Petcu · Pim Praat · Jeroen Wijnen · Manolis Rerres |
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Poster
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Tue 9:00 |
[Re] Replication Study of "Fairness and Bias in Online Selection" Diego van der Mast · Soufiane Ben Haddou · Jacky Chu · Jaap Stefels |
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Poster
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Wed 9:00 |
Online Allocation and Learning in the Presence of Strategic Agents Steven Yin · Shipra Agrawal · Assaf Zeevi |
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Poster
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Wed 9:00 |
Optimal Efficiency-Envy Trade-Off via Optimal Transport Steven Yin · Christian Kroer |
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Poster
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Thu 14:00 |
Nonstationary Dual Averaging and Online Fair Allocation Luofeng Liao · Yuan Gao · Christian Kroer |
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Poster
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Tue 14:00 |
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members Daphne Cornelisse · Thomas Rood · Yoram Bachrach · Mateusz Malinowski · Tal Kachman |
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Workshop
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A Theory of Learning with Competing Objectives and User Feedback Pranjal Awasthi · Corinna Cortes · Yishay Mansour · Mehryar Mohri |
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Workshop
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Sat 10:15 |
Train Offline, Test Online: A Real Robot Learning Benchmark Gaoyue Zhou · Victoria Dean · Mohan Kumar Srirama · Aravind Rajeswaran · Jyothish Pari · Kyle Hatch · Aryan Jain · Tianhe Yu · Pieter Abbeel · Lerrel Pinto · Chelsea Finn · Abhinav Gupta |
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Workshop
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Sat 9:15 |
Train Offline, Test Online: A Real Robot Learning Benchmark Gaoyue Zhou · Victoria Dean · Mohan Kumar Srirama · Aravind Rajeswaran · Jyothish Pari · Kyle Hatch · Aryan Jain · Tianhe Yu · Pieter Abbeel · Lerrel Pinto · Chelsea Finn · Abhinav Gupta |