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01/25/2023
Overcoming Prior Misspecification in Online Learning to Rank
The recent literature on online learning to rank (LTR) has established t...
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05/29/2019
Advantage Amplification in Slowly Evolving Latent-State Environments
Latent-state environments with long horizons, such as those faced by rec...
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04/04/2019
Empirical Bayes Regret Minimization
The prevalent approach to bandit algorithm design is to have a low-regre...
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11/01/2018
Deep Structured Prediction with Nonlinear Output Transformations
Deep structured models are widely used for tasks like semantic segmentat...
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10/04/2018
Seq2Slate: Re-ranking and Slate Optimization with RNNs
Ranking is a central task in machine learning and information retrieval....
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05/07/2018
Planning and Learning with Stochastic Action Sets
In many practical uses of reinforcement learning (RL) the set of actions...
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11/04/2015
Train and Test Tightness of LP Relaxations in Structured Prediction
Structured prediction is used in areas such as computer vision and natur...
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09/26/2013
Learning Max-Margin Tree Predictors
Structured prediction is a powerful framework for coping with joint pred...
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05/09/2012
