Pascal Poupart

Towards Cost-Effective Reward Guided Text Generation ICML 2025 Time Is Effort: Estimating Human Post-Editing Time for Grammar Error Correction Tool Evaluation EMNLP 2025 Learning to Negotiate via Voluntary Commitment AISTATS 2025 Understanding Constraint Inference in Safety-Critical Inverse Reinforcement Learning ICLR 2025 Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens ICML 2025 Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space AAAI 2024 A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules? ICML 2024 Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning NIPS 2024 Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks AISTATS 2024 Confidence Aware Inverse Constrained Reinforcement Learning ICML 2024 Label Alignment Regularization for Distribution Shift JMLR 2024 Do we need Label Regularization to Fine-tune Pre-trained Language Models? EACL 2023 Contrastive Deterministic Autoencoders For Language Modeling EMNLP 2023 Benchmarking Constraint Inference in Inverse Reinforcement Learning ICLR 2023 Batchnorm Allows Unsupervised Radial Attacks NIPS 2023 Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations NIPS 2023 An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient NIPS 2023 Attribute Controlled Dialogue Prompting ACL 2023 NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge AISTATS 2023 Learning Soft Constraints From Constrained Expert Demonstrations ICLR 2023 Linearizing contextual bandits with latent state dynamics UAI 2022 CILDA: Contrastive Data Augmentation Using Intermediate Layer Knowledge Distillation COLING 2022 Learning functions on multiple sets using multi-set transformers UAI 2022 Decentralized Mean Field Games AAAI 2022 RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation NAACL 2022 Distributional Reinforcement Learning with Monotonic Splines ICLR 2022 Optimality and Stability in Non-Convex Smooth Games JMLR 2022 Learning Object-Oriented Dynamics for Planning from Text ICLR 2022 WatClaimCheck: A new Dataset for Claim Entailment and Inference ACL 2022 Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game NIPS 2022 Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization EMNLP 2022 Quantifying and Improving Transferability in Domain Generalization NIPS 2021 Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map CVPR 2021 Prediction by Anticipation: An Action-Conditional Prediction Method Based on Interaction Learning ICCV 2021 Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning NIPS 2021 Progressive Memory Banks for Incremental Domain Adaptation ICLR 2020 Online Bayesian Moment Matching based SAT Solver Heuristics ICML 2020 Batch norm with entropic regularization turns deterministic autoencoders into generative models UAI 2020 Learning Dynamic Belief Graphs to Generalize on Text-Based Games NIPS 2020 Learning Agent Representations for Ice Hockey NIPS 2020 Diachronic Embedding for Temporal Knowledge Graph Completion AAAI 2020 Representation Learning for Dynamic Graphs: A Survey JMLR 2020 Unsupervised Multilingual Alignment using Wasserstein Barycenter IJCAI 2020 Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players IJCAI 2020 Comparing EM with GD in Mixture Models of Two Components UAI 2019 On the Relationship Between Satisfiability and Markov Decision Processes UAI 2019 An Empirical Study of Branching Heuristics through the Lens of Global Learning Rate IJCAI 2018 Monte-Carlo Tree Search for Constrained POMDPs NIPS 2018 Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks NIPS 2018 Unsupervised Video Object Segmentation for Deep Reinforcement Learning NIPS 2018 Deep Homogeneous Mixture Models: Representation, Separation, and Approximation NIPS 2018 Variational Attention for Sequence-to-Sequence Models COLING 2018 An Empirical Study of Methods for SPN Learning and Inference PGM 2018 Prometheus : Directly Learning Acyclic Directed Graph Structures for Sum-Product Networks PGM 2018 Discriminative Training of Sum-Product Networks by Extended Baum-Welch PGM 2018 Constrained Bayesian Reinforcement Learning via Approximate Linear Programming IJCAI 2017 Sum-Product-Max Networks for Tractable Decision Making IJCAI 2016 Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks AISTATS 2016 Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings AISTATS 2016 Online Algorithms for Sum-Product Networks with Continuous Variables PGM 2016 Dynamic Sum Product Networks for Tractable Inference on Sequence Data PGM 2016 Overfitting at SemEval-2016 Task 3: Detecting Semantically Similar Questions in Community Question Answering Forums with Word Embeddings SEMEVAL 2016 A Unified Approach for Learning the Parameters of Sum-Product Networks NIPS 2016 Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics NIPS 2016 Self-Adaptive Hierarchical Sentence Model IJCAI 2015 On the Relationship between Sum-Product Networks and Bayesian Networks ICML 2015 Learning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes IJCAI 2013 Isomorph-Free Branch and Bound Search for Finite State Controllers IJCAI 2013 Cost-Sensitive Exploration in Bayesian Reinforcement Learning NIPS 2012 Symbolic Dynamic Programming for Continuous State and Observation POMDPs NIPS 2012 Asymptotic Theory for Linear-Chain Conditional Random Fields AISTATS 2011 Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints NIPS 2011 Generating Lexical Analogies Using Dependency Relations CONLL 2007 Generating Lexical Analogies Using Dependency Relations EMNLP 2007 Point-Based Value Iteration for Continuous POMDPs JMLR 2006 Automated Hierarchy Discovery for Planning in Partially Observable Environments NIPS 2006