Yunhyeok Kwak

4 papers · 2022–2024 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird

Venues

CLeaR (1) ICML (1) NeurIPS (1) UAI (1)

Top co-authors

Inwoo Hwang (4) Byoung-tak Zhang (4) Sanghack Lee (3) Yeon-Ji Song (1) Damien Teney (1) Seong Joon Oh (1) Jin-Hwa Kim (1) Sangjun Lee (1) Suhyung Choi (1) Dooyoung Kim (1)

Research topics

Artificial Intelligence (3) Machine Learning (3) Core AI (3) Deep Learning (2) Reinforcement Learning (2) Application Areas (2) Methods (2) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Models (1)

Keywords

quantization (1) causal inference (1) representation learning (1) contrastive learning (1) reinforcement learning (1) sample efficiency (1) variational inference (1) domain adaptation (1) robustness (1) data augmentation (1) empirical risk minimization (1) conditional independence (1) monte carlo tree search (1) factored action spaces (1) latent variable (1) spurious correlation (1) biased data (1) debiased learning (1) latent dynamics model (1) action abstraction (1)

Papers

Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction UAI 2024 Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning ICML 2024 On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition CLeaR 2023 SelecMix: Debiased Learning by Contradicting-pair Sampling NeurIPS 2022