Kun Zhang
~Kun_Zhang1
102
论文总数
51.0
年均投稿
平均评分
接收情况56/102
会议分布
ICLR
65
NeurIPS
27
ICML
10
发表论文 (102 篇)
202563 篇
4
Differentiable Causal Discovery for Latent Hierarchical Causal Models
ICLR 2025Poster
4
Revisiting Differentiable Structure Learning: Inconsistency of $\ell_1$ Penalty and Beyond
ICLR 2025Rejected
4
Adjusting Pretrained Backbones for Performativity
ICLR 2025Rejected
5
On the Identifiability of Nonlinear Representation Learning with General Noise
ICLR 2025withdrawn
4
Nonparametric Identification of Latent Concepts
ICML 2025Poster
3
Provably Learning Concepts by Comparison
ICLR 2025Rejected
4
$\psi$DAG : Projected Stochastic Approximation Iteration for DAG Structure Learning
ICLR 2025Rejected
4
Learning Discrete Latent Models from Discrete Observations
ICLR 2025Rejected
4
The third pillar of causal analysis? A measurement perspective on causal representations
NeurIPS 2025Poster
5
Identification of Intermittent Temporal Latent Process
ICLR 2025Poster
4
$\psi$DAG: Projected Stochastic Approximation Iteration for Linear DAG Structure Learning
NeurIPS 2025Rejected
4
TrendDiff: Decoupling Intrinsic and Measurement Trends for Enhanced Time Series Causal Discovery
ICLR 2025Rejected
3
Procedural Fairness Through Addressing Social Determinants of Opportunity
ICLR 2025Rejected
4
Learning Identifiable Concepts for Compositional Image Generation
ICLR 2025withdrawn
4
Higher-Order Causal Structure Learning with Additive Models
NeurIPS 2025Rejected
4
LLM Interpretability with Identifiable Temporal-Instantaneous Representation
NeurIPS 2025Poster
4
Detecting Generated Images by Fitting Natural Image Distributions
NeurIPS 2025Spotlight
4
Prompting Fairness: Integrating Causality to Debias Large Language Models
ICLR 2025Poster
5
Towards Accurate Deep Learning Model Selection: A Calibrated Metric Approach
ICLR 2025withdrawn
5
A Conditional Independence Test in the Presence of Discretization
ICLR 2025Poster
4
EM-DARTS: Preventing Performance Collapse in Differentiable Architecture Search with The Edge Mutation Mechanism
ICLR 2025Rejected
4
Learning Graph Invariance by Harnessing Spuriosity
ICLR 2025Poster
3
A Robust Method to Discover Causal or Anticausal Relation
ICLR 2025Poster
3
Consistency Verification for Detecting AI-Generated Images
ICLR 2025Rejected
4
Practical Kernel Learning for Kernel-based Conditional Independent Test
ICLR 2025Rejected
5
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
ICLR 2025Poster
3
Noisy Test-Time Adaptation in Vision-Language Models
ICLR 2025Poster
4
Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders
NeurIPS 2025Poster
4
Practical Kernel Selection for Kernel-based Conditional Independence Test
NeurIPS 2025Poster
4
On the Language of Thoughts in Large Language Models
ICLR 2025Rejected
4
Latent Variable Causal Discovery under Selection Bias
ICML 2025Poster
4
Flow: Modularized Agentic Workflow Automation
ICLR 2025Poster
3
A General Representation-Based Approach to Multi-Source Domain Adaptation
ICML 2025Poster
3
Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations
ICML 2025Poster
4
Thought Communication in Multiagent Collaboration
NeurIPS 2025Spotlight
4
A Sample Efficient Conditional Independence Test in the Presence of Discretization
ICML 2025Poster
4
Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness
ICML 2025Poster
4
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning
ICLR 2025Rejected
4
Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders
ICLR 2025Rejected
4
Extracting Rare Dependence Patterns via Adaptive Sample Reweighting
ICML 2025Poster
4
Turning Challenges into Opportunities: How Distribution Shifts Enhance Identifiability in Causal Representation Learning
ICLR 2025Rejected
4
Analytic DAG Constraints for Differentiable DAG Learning
ICLR 2025Poster
4
Identification of Nonparametric Dynamic Causal Model and Latent Process for Climate Analysis
ICLR 2025Rejected
4
Learning Vision and Language Concepts for Controllable Image Generation
ICML 2025Poster
4
Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference
ICLR 2025Poster
4
Robust Heterogeneous Treatment Effect Estimation under Covariate Perturbation
ICLR 2025Rejected
5
Can Large Language Models Help Experimental Design for Causal Discovery?
ICLR 2025Rejected
5
Principle Counterfactual Fairness
ICLR 2025Rejected
4
Towards Self-Refinement of Vision-Language Models with Triangular Consistency
NeurIPS 2025Poster
5
Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis
NeurIPS 2025Rejected
3
On the Identification of Temporal Causal Representation with Instantaneous Dependence
ICLR 2025Oral
4
Towards Accurate Time Series Forecasting via Implicit Decoding
NeurIPS 2025Poster
4
Learning Counterfactual Outcomes Under Rank Preservation
NeurIPS 2025Poster
5
When Selection Meets Intervention: Additional Complexities in Causal Discovery
ICLR 2025Oral
4
Towards Identifiability of Hierarchical Temporal Causal Representation Learning
NeurIPS 2025Poster
4
Counterfactual Delayed Feedback Learning
ICLR 2025Rejected
3
Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning
ICLR 2025Poster
4
Reflection Window: Text Generation with Selective Refinement
ICLR 2025Rejected
3
Permutation-based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data
ICML 2025Poster
4
Online Time Series Forecasting with Theoretical Guarantees
NeurIPS 2025Poster
4
Permutation-based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data
ICLR 2025Rejected
4
Reflection-Window Decoding: Text Generation with Selective Refinement
ICML 2025Poster
5
Causal Representation Learning from Multimodal Biomedical Observations
ICLR 2025Poster
202439 篇
4
Revealing Hidden Causal Variables and Latent Factors from Multiple Distributions
ICLR 2024Rejected
4
Causal Structure Recovery with Latent Variables under Milder Distributional and Graphical Assumptions
ICLR 2024Poster
5
On the Recoverability of Causal Relations from Temporally Aggregated I.I.D Data
ICLR 2024Rejected
3
Identifying Selections for Unsupervised Subtask Discovery
NeurIPS 2024Poster
4
A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs
NeurIPS 2024Poster
3
Counterfactual Fairness from Partially DAGs: A General Min-Max Optimization Framework
ICLR 2024Rejected
5
Calibration-then-Calculation: A Variance Reduced Metric Framework
ICLR 2024Rejected
3
Decoupling Intrinsic and Measurement Trends: A Crucial Consideration in Time Series Causal Discovery
ICLR 2024Rejected
3
RoCA: A Robust Method to Discover Causal or Anticausal Relation by Noise Injection
ICLR 2024Rejected
4
Natural Counterfactuals With Necessary Backtracking
NeurIPS 2024Poster
4
A Conditional Independence Test in the Presence of Discretization
NeurIPS 2024Rejected
3
Advancing Counterfactual Inference through Quantile Regression
ICLR 2024Rejected
4
Memoization-Aware Bayesian Optimization for AI Pipelines with Unknown Costs
ICLR 2024Rejected
3
Natural Counterfactuals With Necessary Backtracking
ICLR 2024Rejected
3
Procedural Fairness Through Decoupling Objectionable Data Generating Components
ICLR 2024Spotlight
4
AlignCLIP: Enhancing Stable Representations in Vision-Language Pretraining Models through Attention and Prediction Alignment
ICLR 2024Rejected
5
Optimal Kernel Choice for Score Function-based Causal Discovery
ICLR 2024Rejected
3
Continual Nonlinear ICA-Based Representation Learning
ICLR 2024Rejected
4
Learning Discrete Concepts in Latent Hierarchical Models
NeurIPS 2024Poster
3
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View
ICLR 2024Oral
4
Towards Understanding Extrapolation: a Causal Lens
NeurIPS 2024Poster
4
Discovery of the Hidden World with Large Language Models
NeurIPS 2024Poster
4
Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability
ICLR 2024Poster
5
LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer
ICLR 2024Poster
4
On Causal Discovery in the Presence of Deterministic Relations
ICLR 2024Rejected
4
Analytic DAG Constraints for Differentiable DAG Learning
ICLR 2024Rejected
5
Identifiable Latent Polynomial Causal Models through the Lens of Change
ICLR 2024Poster
4
Rethinking Counterfactual Fairness: On Which Individuals to Enforce, and How?
ICLR 2024Rejected
4
Identifiable Latent Causal Content for Domain Adaptation under Latent Covariate Shift
ICLR 2024Rejected
4
Causal Temporal Representation Learning with Nonstationary Sparse Transition
NeurIPS 2024Poster
4
Learning Discrete Latent Variable Structures with Tensor Rank Conditions
NeurIPS 2024Poster
4
Learning Temporal Causal Representation under Non-Invertible Generation Process
ICLR 2024Rejected
5
Federated Causal Discovery from Heterogeneous Data
ICLR 2024Poster
4
On the Parameter Identifiability of Partially Observed Linear Causal Models
NeurIPS 2024Poster
3
Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization
NeurIPS 2024Poster
4
On Causal Discovery in the Presence of Deterministic Relations
NeurIPS 2024Poster
4
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables
ICLR 2024Poster
5
Identifying Latent State Transition Processes for Individualized Reinforcement Learning
ICLR 2024Rejected
4
Identifying Latent State-Transition Processes for Individualized Reinforcement Learning
NeurIPS 2024Poster