| Improving Screening Processes via Calibrated Subset Selection. | 0 | 0.34 | 2022 |
| Off-Policy Evaluation for Large Action Spaces via Embeddings. | 0 | 0.34 | 2022 |
| Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances | 2 | 0.36 | 2021 |
| Controlling Fairness and Bias in Dynamic Learning-to-Rank (Extended Abstract). | 0 | 0.34 | 2021 |
| User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets. | 6 | 0.42 | 2021 |
| Fairness in Ranking under Uncertainty. | 0 | 0.34 | 2021 |
| MOReL : Model-Based Offline Reinforcement Learning | 0 | 0.34 | 2020 |
| REVEAL 2020: Bandit and Reinforcement Learning from User Interactions | 0 | 0.34 | 2020 |
| Off-policy Bandits with Deficient Support | 1 | 0.36 | 2020 |
| Exploring Acoustic Similarity for Novel Music Recommendation | 0 | 0.34 | 2020 |
| REVEAL 2019: closing the loop with the real world: reinforcement and robust estimators for recommendation | 0 | 0.34 | 2019 |
| CAB: Continuous Adaptive Blending for Policy Evaluation and Learning | 1 | 0.36 | 2019 |
| A General Framework for Counterfactual Learning-to-Rank | 21 | 0.65 | 2019 |
| Counterfactual Learning-to-Rank for Additive Metrics and Deep Models. | 1 | 0.36 | 2018 |
| Fairness of Exposure in Rankings. | 41 | 1.20 | 2018 |
| Improving Recommender Systems Beyond the Algorithm. | 0 | 0.34 | 2018 |
| Deep Learning with Logged Bandit Feedback | 8 | 0.46 | 2018 |
| Deep Learning From Logged Interventions | 0 | 0.34 | 2018 |
| Intervention Harvesting for Context-Dependent Examination-Bias Estimation. | 6 | 0.40 | 2018 |
| Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank. | 0 | 0.34 | 2018 |
| A preference elicitation interface for collecting dense recommender datasets with rich user information. | 0 | 0.34 | 2017 |
| Effective Evaluation using Logged Bandit Feedback from Multiple Loggers. | 8 | 0.51 | 2017 |
| Unbiased Learning-to-Rank with Biased Feedback. | 51 | 1.22 | 2017 |
| Bayesian Ordinal Aggregation of Peer Assessments: A Case Study on KDD 2015. | 2 | 0.38 | 2016 |
| Latent Skill Embedding for Personalized Lesson Sequence Recommendation. | 3 | 0.45 | 2016 |
| Evaluation methods for unsupervised word embeddings | 78 | 2.07 | 2015 |
| Analysis of nutrition data by means of a matrix factorization method. | 0 | 0.34 | 2015 |
| Learning from User Interactions | 0 | 0.34 | 2015 |
| Learning preferences for manipulation tasks from online coactive feedback | 22 | 0.90 | 2015 |
| Counterfactual Risk Minimization: Learning from Logged Bandit Feedback. | 38 | 1.77 | 2015 |
| Counterfactual Risk Minimization | 8 | 0.67 | 2015 |
| Bayesian Ordinal Peer Grading | 15 | 0.91 | 2015 |
| Was this review helpful to you?: it depends! context and voting patterns in online content | 15 | 0.84 | 2014 |
| Invited Talk: Learning from Rational Behavior. | 0 | 0.34 | 2014 |
| Methods for ordinal peer grading | 36 | 1.63 | 2014 |
| Taste Space Versus the World: an Embedding Analysis of Listening Habits and Geography. | 2 | 0.39 | 2014 |
| Behavior Informatics: A New Perspective | 7 | 0.50 | 2014 |
| Structured Learning of Sum-of-Submodular Higher Order Energy Functions | 11 | 0.53 | 2013 |
| Generating comparative summaries from reviews | 5 | 0.41 | 2013 |
| Contextually guided semantic labeling and search for three-dimensional point clouds | 84 | 2.71 | 2013 |
| Learning Trajectory Preferences for Manipulators via Iterative Improvement. | 26 | 0.94 | 2013 |
| Stable Coactive Learning via Perturbation. | 6 | 0.46 | 2013 |
| Taste Over Time: The Temporal Dynamics of User Preferences. | 11 | 0.71 | 2013 |
| Beyond myopic inference in big data pipelines | 2 | 0.40 | 2013 |
| Multi-space probabilistic sequence modeling | 8 | 0.53 | 2013 |
| Temporal corpus summarization using submodular word coverage | 24 | 0.90 | 2012 |
| Online Structured Prediction via Coactive Learning | 28 | 0.90 | 2012 |
| Large-scale validation and analysis of interleaved search evaluation | 84 | 3.84 | 2012 |
| Multi-armed Bandit Problems with History. | 7 | 0.61 | 2012 |
| Structured learning of two-level dynamic rankings | 13 | 0.75 | 2011 |
