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Biwei Huang

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 10:11 PM AMS

19

papers

336

total citations

papers (19)

Domain Adaptation as a Problem of Inference on Graphical Models

NEURIPS 2020arXiv

Latent Hierarchical Causal Structure Discovery with Rank Constraints

NEURIPS 2022arXiv

Factored Adaptation for Non-Stationary Reinforcement Learning

NEURIPS 2022arXiv

Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach

NEURIPS 2023arXiv

Identification of Nonlinear Latent Hierarchical Models

NEURIPS 2023arXiv

A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables

Identifiable Latent Polynomial Causal Models through the Lens of Change

Learning World Models with Identifiable Factorization

NEURIPS 2023arXiv

Federated Causal Discovery from Heterogeneous Data

Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs

NEURIPS 2020arXiv

Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models

NEURIPS 2025arXiv

Generator Identification for Linear SDEs with Additive and Multiplicative Noise

NEURIPS 2023arXiv

Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability

Optimal Kernel Choice for Score Function-based Causal Discovery

Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders

NEURIPS 2025arXiv

Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations

An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series

ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation

Score-Based Causal Discovery of Latent Variable Causal Models