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Papers
A Sample Efficient Conditional Independence Test in the Presence of Discretization
ICML 2025
Fast and Multiphase Rates for Nearest Neighbor Classifiers
COLT 2025
Learning Curves of Stochastic Gradient Descent in Kernel Regression
ICML 2025
Sample Complexity of Correlation Detection in the Gaussian Wigner Model
ICML 2025
Sampling Boundary for Causal Effect Estimation
ACML 2025
Uncertainty Quantification for LLM-Based Survey Simulations
ICML 2025
A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
ICML 2024
Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses
ICML 2024
Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts
ICML 2024
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery
ICML 2024
Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget
ICML 2024
Grokking in Linear Estimators -- A Solvable Model that Groks without Understanding
ICLR 2024
Improving Computational Complexity in Statistical Models with Local Curvature Information
ICML 2024
LIMID Quality Control Models for Increasing Failure Rate Processes
PGM 2024
On Efficient and Statistical Quality Estimation for Data Annotation
ACL 2024
Analysis of Mean Opinion Scores in Subjective Evaluation of Synthetic Speech Based on Tail Probabilities
Interspeech 2023
Are reported accuracies in the clinical speech machine learning literature overoptimistic?
Interspeech 2022
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size
AISTATS 2022
Searching for a Higher Power in the Human Evaluation of MT
EMNLP 2022
Optimal Prediction of the Number of Unseen Species with Multiplicity
NeurIPS 2020
Statistical Power and Translationese in Machine Translation Evaluation
EMNLP 2020
Starting Small - Learning with Adaptive Sample Sizes
ICML 2016
QUIC-SVD: Fast SVD Using Cosine Trees
NeurIPS 2008