Kee-eung Kim

Optimizing Preferential Rate in Retail Lending with Causal Inference and Domain Adaptation AAAI 2026 Monet: Mixture of Monosemantic Experts for Transformers ICLR 2025 Goal-Conditioned DPO: Prioritizing Safety in Misaligned Instructions NAACL 2025 Diversification of Adaptive Policy for Effective Offline Reinforcement Learning IJCAI 2024 Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies ICLR 2024 GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets EMNLP 2024 Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL ACL 2024 Stitching Sub-trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL AAAI 2024 SyncVSR: Data-Efficient Visual Speech Recognition with End-to-End Crossmodal Audio Token Synchronization INTERSPEECH 2024 Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning NIPS 2024 Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction NIPS 2024 A Submodular Optimization Approach to Accountable Loan Approval AAAI 2024 AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation NIPS 2023 Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning EMNLP 2023 Information-Theoretic State Space Model for Multi-View Reinforcement Learning ICML 2023 Trustworthy Residual Vehicle Value Prediction for Auto Finance AAAI 2023 Regularized Behavior Cloning for Blocking the Leakage of Past Action Information NIPS 2023 GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems ICLR 2022 Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions NIPS 2022 LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation NIPS 2022 Structure-Aware Transformer Policy for Inhomogeneous Multi-Task Reinforcement Learning ICLR 2022 DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations ICLR 2022 COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation ICLR 2022 PAC-Net: A Model Pruning Approach to Inductive Transfer Learning ICML 2022 Data Augmentation for Learning to Play in Text-Based Games IJCAI 2022 Learning to Embed Multi-Modal Contexts for Situated Conversational Agents NAACL 2022 Monte-Carlo Planning and Learning with Language Action Value Estimates ICLR 2021 Representation Balancing Offline Model-based Reinforcement Learning ICLR 2021 Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic ICLR 2021 OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation ICML 2021 Multi-View Representation Learning via Total Correlation Objective NIPS 2021 Variational Interaction Information Maximization for Cross-domain Disentanglement NIPS 2020 Reinforcement Learning for Control with Multiple Frequencies NIPS 2020 Batch Reinforcement Learning with Hyperparameter Gradients ICML 2020 Variational Inference for Sequential Data with Future Likelihood Estimates ICML 2020 Residual Neural Processes AAAI 2020 Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients AAAI 2020 End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2 ACL 2020 Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues AAAI 2020 PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules EMNLP 2019 PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules IJCNLP 2019 Trust Region Sequential Variational Inference ACML 2019 A Bayesian Approach to Generative Adversarial Imitation Learning NIPS 2018 Monte-Carlo Tree Search for Constrained POMDPs NIPS 2018 Hierarchically-partitioned Gaussian Process Approximation AISTATS 2017 Constrained Bayesian Reinforcement Learning via Approximate Linear Programming IJCAI 2017 Generative Local Metric Learning for Kernel Regression NIPS 2017 Bayesian Reinforcement Learning with Behavioral Feedback IJCAI 2016 Reactive bandits with attitude AISTATS 2015 Bayesian Nonparametric Feature Construction for Inverse Reinforcement Learning IJCAI 2013 Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NIPS 2012 Cost-Sensitive Exploration in Bayesian Reinforcement Learning NIPS 2012 MAP Inference for Bayesian Inverse Reinforcement Learning NIPS 2011 Inverse Reinforcement Learning in Partially Observable Environments JMLR 2011