Publication Pretraining Representations for Data-Efficient Reinforcement Learning Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch, Ankesh Anand, Laurent Charlin, Devon Hjelm, Philip Bachman, Aaron Courville NeurIPS 2021 | December 2021
Publication Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness Nicola Neophytou, Bhaskar Mitra, Catherine Stinson European Conference on Information Retrieval | November 2021
Publication Less is Less: When Are Snippets Insufficient for Human vs Machine Relevance Estimation? Gabriella Kazai, Bhaskar Mitra, Anlei Dong, Nick Craswell, Linjun Yang European Conference on Information Retrieval | November 2021
Publication Interactive Machine Comprehension with Dynamic Knowledge Graphs Xingdi Yuan EMNLP 2021 | November 2021
Publication Self-training with Few-shot Rationalization: Teacher Explanations Aid Student in Few-shot NLU Meghana Moorthy Bhat, Alessandro Sordoni, Subhabrata (Subho) Mukherjee EMNLP 2021 | November 2021 Project Project
Publication The emergence of the shape bias results from communicative efficiency Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche Conference on Computational Natural Language Learning (CoNLL) | November 2021
Publication Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs Harsh Satija, Philip S. Thomas, Joelle Pineau, Romain Laroche 2021 Neural Information Processing Systems | October 2021 Project
Publication Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch Shangtong Zhang, Remi Tachet des Combes, Romain Laroche October 2021 Project
Publication Batched Bandits with Crowd Externalities Romain Laroche, Othmane Safsafi, Raphaël Féraud, Nicolas Broutin September 2021
Publication Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets Su Lin Blodgett, Gilsinia Lopez, Alexandra Olteanu, Robert Sim, Hanna Wallach ACL-IJCNLP 2021 | August 2021
