← Authors

Kee-eung Kim

54 papers · 2011–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (14) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (13) 🀝 Dynamic Duo (22) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion πŸ† Grand Slam πŸ”¬ Deep Specialist (11) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (11) πŸš€ Conference Pioneer ⚑ Prolific Year (9) πŸ—ƒοΈ Keyword Collector (216) πŸ’Ž Century Club (53)

Conferences

NIPS (15) ICLR (9) AAAI (7) ICML (5) IJCAI (5) EMNLP (3) ACL (2) AISTATS (2) NAACL (2) ACML (1) IJCNLP (1) INTERSPEECH (1) JMLR (1)

Top co-authors

Jongmin Lee (22) Youngsoo Jang (11) Geon-hyeong Kim (9) Seokin Seo (7) Byung-Jun Lee (7) Hongseok Yang (6) Wonseok Jeon (6) HyeongJoo Hwang (6) Yunseon Choi (5) Jaedeug Choi (4)

Keywords

bayesian inference (7) offline reinforcement learning (7) reinforcement learning (6) variational inference (5) stationary distribution (4) reward function (3) inverse reinforcement learning (3) model-based reinforcement learning (3) imitation learning (3) language model (3) policy learning (3) monte-carlo tree search (3) dialogue state tracking (2) partially observable markov decision process (2) partial observability (2) direct preference optimization (2) adversarial learning (2) bayesian reinforcement learning (2) data augmentation (2) metric learning (2)

Papers

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