PaperHub

Biwei Huang

~Biwei_Huang1

41
论文总数
20.5
年均投稿
5.7
平均评分
接收情况20/41
会议分布
ICLR
29
NeurIPS
11
ICML
1

发表论文 (41 篇)

202520

4.0
4

TrendDiff: Decoupling Intrinsic and Measurement Trends for Enhanced Time Series Causal Discovery

ICLR 2025Rejected
5.8
4

Identification of Nonparametric Dynamic Causal Model and Latent Process for Climate Analysis

ICLR 2025Rejected
-

Unified Framework for Causal Discovery and Long-term Forecasting in Non-stationary Environments

ICLR 2025withdrawn
6.8
5

Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis

NeurIPS 2025Rejected
6.0
4

Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning

ICLR 2025Poster
7.0
4

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

ICLR 2025Poster
6.8
4

Practical Kernel Selection for Kernel-based Conditional Independence Test

NeurIPS 2025Poster
4.5
4

Practical Kernel Learning for Kernel-based Conditional Independent Test

ICLR 2025Rejected
4.5
4

MissScore: High-Order Score Estimation in the Presence of Missing Data

ICLR 2025Rejected
8.2
3

Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems

NeurIPS 2025Spotlight
5.8
4

Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning

ICLR 2025Rejected
6.8
4

Differentiable Causal Discovery for Latent Hierarchical Causal Models

ICLR 2025Poster
6.3
3

MissScore: High-Order Score Estimation in the Presence of Missing Data

ICML 2025Poster
5.3
4

Turning Challenges into Opportunities: How Distribution Shifts Enhance Identifiability in Causal Representation Learning

ICLR 2025Rejected
6.0
4

Revisiting Differentiable Structure Learning: Inconsistency of $\ell_1$ Penalty and Beyond

ICLR 2025Rejected
4.0
4

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

ICLR 2025Rejected
7.0
4

Analytic DAG Constraints for Differentiable DAG Learning

ICLR 2025Poster
7.3
4

Towards General Continuous Memory for Vision-Language Models

NeurIPS 2025Poster
7.1
5

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

NeurIPS 2025Spotlight
6.6
5

A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery

ICLR 2025Poster

202421

5.2
5

Identifying Latent State Transition Processes for Individualized Reinforcement Learning

ICLR 2024Rejected
4.7
3

Advancing Counterfactual Inference through Quantile Regression

ICLR 2024Rejected
3.5
4

Boosting Efficiency in Task-Agnostic Exploration Through Causal Knowledge

ICLR 2024Rejected
4.4
5

Optimal Kernel Choice for Score Function-based Causal Discovery

ICLR 2024Rejected
6.0
4

Identifying Latent State-Transition Processes for Individualized Reinforcement Learning

NeurIPS 2024Poster
7.5
4

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

ICLR 2024Poster
5.7
3

Identifiability Analysis of Linear ODE Systems with Hidden Confounders

NeurIPS 2024Poster
3.7
3

Decoupling Intrinsic and Measurement Trends: A Crucial Consideration in Time Series Causal Discovery

ICLR 2024Rejected
5.3
3

Natural Counterfactuals With Necessary Backtracking

ICLR 2024Rejected
6.3
4

On Causal Discovery in the Presence of Deterministic Relations

ICLR 2024Rejected
5.8
4

Learning Discrete Concepts in Latent Hierarchical Models

NeurIPS 2024Poster
6.0
4

Natural Counterfactuals With Necessary Backtracking

NeurIPS 2024Poster
6.3
4

On the Parameter Identifiability of Partially Observed Linear Causal Models

NeurIPS 2024Poster
6.8
4

On Causal Discovery in the Presence of Deterministic Relations

NeurIPS 2024Poster
6.5
4

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

ICLR 2024Poster
6.2
5

Federated Causal Discovery from Heterogeneous Data

ICLR 2024Poster
4.3
4

Identifiable Latent Causal Content for Domain Adaptation under Latent Covariate Shift

ICLR 2024Rejected
5.4
5

Identifiable Latent Polynomial Causal Models through the Lens of Change

ICLR 2024Poster
5.0
4

MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment

ICLR 2024Rejected
3.4
5

Identifiable State Disentanglement for Reinforcement Learning with Policy Optimality

ICLR 2024withdrawn
5.8
4

Analytic DAG Constraints for Differentiable DAG Learning

ICLR 2024Rejected