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07/22/2023
The Sample Complexity of Multi-Distribution Learning for VC Classes
Multi-distribution learning is a natural generalization of PAC learning ...
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02/21/2023
A Unifying Perspective on Multi-Calibration: Unleashing Game Dynamics for Multi-Objective Learning
We provide a unifying framework for the design and analysis of multi-cal...
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10/22/2022
On-Demand Sampling: Learning Optimally from Multiple Distributions
Social and real-world considerations such as robustness, fairness, socia...
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06/10/2021
ERMAS: Becoming Robust to Reward Function Sim-to-Real Gaps in Multi-Agent Simulations
Multi-agent simulations provide a scalable environment for learning poli...
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04/26/2021
A unified Neural Network Approach to E-CommerceRelevance Learning
Result relevance scoring is critical to e-commerce search user experienc...
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07/16/2020
Active Learning under Label Shift
Distribution shift poses a challenge for active data collection in the r...
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02/19/2019
Graph Neural Networks for Social Recommendation
In recent years, Graph Neural Networks (GNNs), which can naturally integ...
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10/24/2018
