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11/15/2022
Decision-Aware Learning for Optimizing Health Supply Chains
We study the problem of allocating limited supply of medical resources i...
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11/11/2022
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms
We describe the current content moderation strategy employed by Meta to ...
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12/28/2021
Learning Across Bandits in High Dimension via Robust Statistics
Decision-makers often face the "many bandits" problem, where one must si...
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10/25/2021
Safely Bridging Offline and Online Reinforcement Learning
A key challenge to deploying reinforcement learning in practice is explo...
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09/22/2021
Robust Generalization of Quadratic Neural Networks via Function Identification
A key challenge facing deep learning is that neural networks are often n...
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08/19/2021
Improving Human Decision-Making with Machine Learning
A key aspect of human intelligence is their ability to convey their know...
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04/18/2021
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings
Sparse regression has recently been applied to enable transfer learning ...
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02/28/2019
Meta Dynamic Pricing: Learning Across Experiments
We study the problem of learning across a sequence of price experiments ...
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12/28/2018
Predicting with Proxies
Predictive analytics is increasingly used to guide decision-making in ma...
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06/29/2017
Interpretability via Model Extraction
The ability to interpret machine learning models has become increasingly...
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04/28/2017
