PaperHub

Haoxuan Li

~Haoxuan_Li6

53
论文总数
26.5
年均投稿
5.8
平均评分
接收情况30/53
会议分布
ICLR
28
NeurIPS
19
ICML
6

发表论文 (53 篇)

202535 篇

4.8
4

Counterfactual Delayed Feedback Learning

ICLR 2025Rejected
6.6
4

Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness

ICML 2025Poster
4.4
5

Principle Counterfactual Fairness

ICLR 2025Rejected
4.4
5

Sampling Process Brings Additional Bias for Debiased Recommendation

ICLR 2025Rejected
5.8
5

Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models

ICLR 2025Poster
6.4
4

Curious Causality-Seeking Agents Learn Meta Causal World

NeurIPS 2025Poster
7.3
4

Learning Counterfactual Outcomes Under Rank Preservation

NeurIPS 2025Poster
6.6
4

Pruning Spurious Subgraphs for Graph Out-of-Distribtuion Generalization

ICML 2025Rejected
4.0
4

Temporal Visiting-Monitoring Feature Interaction Learning for Modelling Structured Electronic Health Records

ICLR 2025Rejected
6.8
4

Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization

NeurIPS 2025Poster
4.3
4

Active Causal Learning for Conditional Average Treatment Effect Estimation

ICLR 2025Rejected
4.3
4

Counterfactual Learning under Rank Preservation

ICLR 2025Rejected
4.5
4

Robust Heterogeneous Treatment Effect Estimation under Covariate Perturbation

ICLR 2025Rejected
6.8
4

Unveiling Extraneous Sampling Bias with Data Missing-Not-At-Random

NeurIPS 2025Poster
7.2
4

Active Treatment Effect Estimation via Limited Samples

ICML 2025Poster
6.8
4

Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification

NeurIPS 2025Poster
6.8
4

Counterfactual Implicit Feedback Modeling

NeurIPS 2025Poster
4.9
4

Large Language Models are Demonstration Pre-Selectors for Themselves

ICML 2025Poster
7.0
3

Optimal Transport for Time Series Imputation

ICLR 2025Poster
4.3
4

Mitigating Unobserved Confounding via Diffusion Probabilistic Models

ICLR 2025Rejected
6.8
4

Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning

NeurIPS 2025Poster
6.8
4

OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain

NeurIPS 2025Poster
8.2
4

Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference

NeurIPS 2025Poster
6.8
4

Towards Accurate Time Series Forecasting via Implicit Decoding

NeurIPS 2025Poster
3.7
3

Do We Really Need Parameter-Isolation to Protect Task Knowledge?

ICLR 2025Rejected
5.3
4

Large Language Models are Demonstration Pre-Selectors for Themselves

ICLR 2025Rejected
5.5
4

Learning without Isolation: Pathway Protection for Continual Learning

ICML 2025Poster
5.5
4

Attaining Human's Desirable Outcomes in Indirect Human-AI Interaction via Multi-Agent Influence Diagrams

ICLR 2025Rejected
3.0
4

Invariant Spatiotemporal Representation Learning for Cross-patient Seizure Classification

ICLR 2025Rejected
7.8
4

Time-o1: Time-Series Forecasting Needs Transformed Label Alignment

NeurIPS 2025Poster
7.6
3

IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector

NeurIPS 2025Poster
6.4
4

Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning

NeurIPS 2025Poster
6.8
4

Inverse Methods for Missing Data Imputation

NeurIPS 2025Poster
6.6
4

Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning

ICML 2025Poster
7.0
4

FreDF: Learning to Forecast in the Frequency Domain

ICLR 2025Poster

202418 篇

5.7
3

From Deterministic to Probabilistic World: Balancing Enhanced Doubly Robust Learning for Debiased Recommendation

ICLR 2024Rejected
4.3
4

Rethinking Counterfactual Fairness: On Which Individuals to Enforce, and How?

ICLR 2024Rejected
6.8
4

Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference

ICLR 2024Poster
4.7
3

Counterfactual Fairness from Partially DAGs: A General Min-Max Optimization Framework

ICLR 2024Rejected
6.8
4

A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs

NeurIPS 2024Poster
5.5
4

Towards Relaxing the Unbiasedness Condition of Doubly Robust Estimators for Debiased Recommendation

ICLR 2024withdrawn
6.7
3

Debiased Collaborative Filtering with Kernel-Based Causal Balancing

ICLR 2024Spotlight
5.7
3

Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation

NeurIPS 2024Poster
4.8
4

When Treatment Effect Estimation Meets Collider Bias: A Dual Counterfactual Generative Approach

ICLR 2024Rejected
5.0
5

Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective

NeurIPS 2024Poster
6.8
4

Catch the Shadow: Automatic Shadow Variables Generation for Treatment Effect Estimation under Collider Bias

ICLR 2024Rejected
7.0
3

MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation

ICLR 2024Poster
3.8
4

Estimating Heterogeneous Treatment Effect with Delayed Response

ICLR 2024Rejected
6.3
3

Two Time-Slices Help Topological Ordering for Learning Directed Acyclic Graphs

ICLR 2024Rejected
4.7
3

ConvFormer: Revisiting Token-mixers for Sequential User Modeling

ICLR 2024Rejected
5.3
3

Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization

NeurIPS 2024Poster
5.8
4

Towards Understanding Extrapolation: a Causal Lens

NeurIPS 2024Poster
3.3
4

Towards Efficient Trace Estimation for Optimal Transport in Domain Adaptation

ICLR 2024Rejected
合作者 (20)