Sanghack Lee
21 papers · 2013–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (12)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🏃
Academic Marathon
(12)
🤝
Dynamic Duo
(10)
🌱
Topic Pioneer
🔬
Deep Specialist
(14)
🚀
Conference Pioneer
❓
The Questioner
⚡
Prolific Year
(6)
🗃️
Keyword Collector
(74)
📈
Trend Setter
💎
Century Club
(20)
🔥
Unstoppable
(8)
Conferences
NIPS (6)
ICML (4)
UAI (4)
AAAI (3)
AISTATS (1)
CLEAR (1)
CVPR (1)
EMNLP (1)
Top co-authors
Keywords
causal inference
(11)
graphical model
(3)
conditional independence
(2)
causal identifiability
(2)
causal discovery
(2)
data augmentation
(2)
causal effect
(2)
multi-armed bandit
(2)
causal graph
(2)
causal bandit
(2)
causal structure
(2)
domain generalization
(2)
part-of-speech tagging
(1)
variational inference
(1)
sequential decision making
(1)
reward modeling
(1)
structure learning
(1)
bayesian information criterion
(1)
decision making
(1)
policy optimization
(1)
Papers
Mitigating Length Bias in RLHF Through a Causal Lens
AAAI 2026
PEER Pressure: Model-to-Model Regularization for Single Source Domain Generalization
CVPR 2025
Causal Discovery with Deductive Reasoning: One Less Problem
UAI 2024
Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction
UAI 2024
On Positivity Condition for Causal Inference
ICML 2024
Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical Models
AISTATS 2024
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning
ICML 2024
Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference
NIPS 2024
On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition
CLEAR 2023
Counterfactual Transportability: A Formal Approach
ICML 2022
SNU-Causality Lab @ Causal News Corpus 2022: Detecting Causality by Data Augmentation via Part-of-Speech tagging
EMNLP 2022
Causal Identification with Matrix Equations
NIPS 2021
Nested Counterfactual Identification from Arbitrary Surrogate Experiments
NIPS 2021
Characterizing Optimal Mixed Policies: Where to Intervene and What to Observe
NIPS 2020
General Transportability – Synthesizing Observations and Experiments from Heterogeneous Domains
AAAI 2020
Causal Effect Identifiability under Partial-Observability
ICML 2020
Towards Robust Relational Causal Discovery
UAI 2019
General Identifiability with Arbitrary Surrogate Experiments
UAI 2019
Structural Causal Bandits with Non-Manipulable Variables
AAAI 2019
Structural Causal Bandits: Where to Intervene?
NIPS 2018
Transportability from Multiple Environments with Limited Experiments
NIPS 2013