Huang Bojun

4 papers · 2020–2025 · 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13)

Venues

AAAI (1) AISTATS (1) ICML (1) NeurIPS (1)

Top co-authors

Yaobo Liang (1) Rui Ding (1) Jiaru Zhang (1) Yang Hua (1) Fei Yuan (1) Longtu Zhang (1) Qiang Fu (1) Shi Han (1) Haibing Guan (1) Dongmei Zhang (1)

Research topics

Machine Learning (3) Optimization & Theory (3) Artificial Intelligence (2) Natural Language Processing (2) Core AI (2) Deep Learning (1) Reinforcement Learning (1) Applications (1) Generation (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Methods (1)

Keywords

reinforcement learning (1) imitation learning (1) natural language processing (1) policy gradient (1) causal discovery (1) machine translation (1) training optimization (1) machine learning (1) marginal distribution (1) loss function (1) evaluation metric (1) saddle point (1) episodic reinforcement learning (1) markov equivalence class (1) steady-state distribution (1) statistical bia (1) lagrangian duality (1) machine learning theory (1) simpson's bia (1) sample-level optimization (1)

Papers

Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning AISTATS 2025 Lagrangian Method for Q-Function Learning (with Applications to Machine Translation) ICML 2022 Simpson's Bias in NLP Training AAAI 2021 Steady State Analysis of Episodic Reinforcement Learning NeurIPS 2020