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Papers
Scalable Causal Structure Learning via Amortized Conditional Independence Testing
CLeaR 2025
Selective Inference with Distributed Data
JMLR 2025
SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation
NAACL 2025
Statistical Hypothesis Testing for Auditing Robustness in Language Models
ICML 2025
Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation
AISTATS 2025
Statistical Significance of Feature Importance Rankings
UAI 2025
Variance-Aware Estimation of Kernel Mean Embedding
JMLR 2025
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment
JMLR 2024
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners
EMNLP 2024
A Provable Decision Rule for Out-of-Distribution Detection
ICML 2024
Are Large Language Models Good Statisticians?
NeurIPS 2024
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference
AISTATS 2024
Can Large Language Models Discern Evidence for Scientific Hypotheses? Case Studies in the Social Sciences
COLING 2024
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference
ICML 2024
Conformalized Multiple Testing after Data-dependent Selection
NeurIPS 2024
Contrastive dimension reduction: when and how?
NeurIPS 2024
Counting Stars is Constant-Degree Optimal For Detecting Any Planted Subgraph: Extended Abstract
COLT 2024
Covariate Shift Corrected Conditional Randomization Test
NeurIPS 2024
Differentially private methods for managing model uncertainty in linear regression
JMLR 2024
Empirical Design in Reinforcement Learning
JMLR 2024
Estimating the Replication Probability of Significant Classification Benchmark Experiments
JMLR 2024
False discovery proportion envelopes with m-consistency
JMLR 2024
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood
AAAI 2024
Hypothesis Testing the Circuit Hypothesis in LLMs
NeurIPS 2024
Incentivizing Quality Text Generation via Statistical Contracts
NeurIPS 2024