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← Authors

Laurent Charlin

21 papers · 2006–2026 · 7 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+11 more ↓ ๐Ÿฃ Hot Topic Early Bird ๐ŸŒˆ Renaissance Researcher (5) ๐ŸŒ‰ Interdisciplinary Bridge ๐Ÿงญ Keyword Pioneer ๐ŸŒ Conference Polyglot (6)
๐Ÿƒ Academic Marathon (19) ๐Ÿงญ Keyword Pioneer ๐Ÿฃ Hot Topic Early Bird ๐ŸŒŸ Keyword Trendsetter Combo (6) ๐ŸŒฑ Topic Pioneer ๐Ÿ† Keyword Champion ๐Ÿ’Ž Century Club (20) ๐Ÿ“ˆ Trend Setter ๐Ÿš€ Conference Pioneer ๐Ÿ”ฅ Unstoppable (8) ๐Ÿ—ƒ๏ธ Keyword Collector (85)

Conferences

NIPS (10) ICML (5) EMNLP (2) ACL (1) AISTATS (1) ICCV (1) ICLR (1)

Top co-authors

Massimo Caccia (6) Alexandre Lacoste (3) David Vรกzquez (3) Joelle Pineau (3) Pau Rodriguez (3) Oleksiy Ostapenko (3) Issam Hadj Laradji (2) David Blei (2) Alessandro Sordoni (2) Min Lin (2)

Keywords

catastrophic forgetting (3) continual learning (3) representation learning (2) imitation learning (2) variational inference (2) sentiment analysis (1) policy optimization (1) unsupervised learning (1) collaborative filtering (1) non-convex optimization (1) variable selection (1) hierarchical planning (1) metric learning (1) policy gradient (1) active learning (1) automated discovery (1) structure learning (1) object detection (1) combinatorial optimization (1) model-agnostic meta-learning (1)

Papers

Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization ACL 2026 Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization ICML 2025 Towards Modular LLMs by Building and Reusing a Library of LoRAs ICML 2024 Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network NIPS 2023 Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning ICML 2022 Continual Learning via Local Module Composition NIPS 2021 Pretraining Representations for Data-Efficient Reinforcement Learning NIPS 2021 Beyond Trivial Counterfactual Explanations With Diverse Valuable Explanations ICCV 2021 Synbols: Probing Learning Algorithms with Synthetic Datasets NIPS 2020 Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles EMNLP 2020 Language GANs Falling Short ICLR 2020 Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning NIPS 2020 Exact Combinatorial Optimization with Graph Convolutional Neural Networks NIPS 2019 Online Continual Learning with Maximal Interfered Retrieval NIPS 2019 Towards Deep Conversational Recommendations NIPS 2018 Focused Hierarchical RNNs for Conditional Sequence Processing ICML 2018 How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation EMNLP 2016 Deep Exponential Families AISTATS 2015 Content-based recommendations with Poisson factorization NIPS 2014 Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning ICML 2013 Automated Hierarchy Discovery for Planning in Partially Observable Environments NIPS 2006