Yuxin Chen

GenPT: Beyond Self-Report for Reliable LLM Psychometrics via Generative Projective Testing ACL 2026 AnnaAgent: Dynamic Evolution Agent System with Multi-Session Memory for Realistic Seeker Simulation ACL 2025 Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient? UAI 2025 Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation AISTATS 2025 Finding Interior Optimum of Black-box Constrained Objective with Bayesian Optimization UAI 2025 Robust Multi-fidelity Bayesian Optimization with Deep Kernel and Partition AISTATS 2025 Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints ICLR 2024 Blending Imitation and Reinforcement Learning for Robust Policy Improvement ICLR 2024 Contextual Active Model Selection NeurIPS 2024 Don’t Be Pessimistic Too Early: Look K Steps Ahead! AISTATS 2024 Model-based Policy Optimization under Approximate Bayesian Inference AISTATS 2024 No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes UAI 2024 Active Policy Improvement from Multiple Black-box Oracles ICML 2023 Efficient Online Decision Tree Learning with Active Feature Acquisition IJCAI 2023 Learning Human-Compatible Representations for Case-Based Decision Support ICLR 2023 Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation ICML 2023 Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data NAACL 2022 Learning to Make Decisions via Submodular Regularization ICLR 2021 Teaching an Active Learner with Contrastive Examples NeurIPS 2021 Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm NeurIPS 2021 The Teaching Dimension of Kernel Perceptron AISTATS 2021 Understanding the Effect of Bias in Deep Anomaly Detection IJCAI 2021 An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles IJCAI 2020 Understanding the Power and Limitations of Teaching with Imperfect Knowledge IJCAI 2020 A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes AISTATS 2019 Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design AISTATS 2019 Landmark Ordinal Embedding NeurIPS 2019 Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models NeurIPS 2019 Teaching Multiple Concepts to a Forgetful Learner NeurIPS 2019 Near-Optimal Machine Teaching via Explanatory Teaching Sets AISTATS 2018 Teaching Categories to Human Learners With Visual Explanations CVPR 2018 Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners NeurIPS 2018 Near-optimal Bayesian Active Learning with Correlated and Noisy Tests AISTATS 2017 Sequential Information Maximization: When is Greedy Near-optimal? COLT 2015 Active Detection via Adaptive Submodularity ICML 2014 Near Optimal Bayesian Active Learning for Decision Making AISTATS 2014 Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization ICML 2013