Sivaraman Balakrishnan
25 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0002-4538-8665
Department of Statistics and Data Science, Carnegie Mellon University , Pittsburgh , USA
Publications
- Robust Universal Inference For Misspecified Models — Biometrika 2026
- Double cross-fit doubly robust estimators: Beyond series regression — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2026
- Semi-supervised U-statistics — The Annals of Statistics 2025
- Plugin estimation of smooth optimal transport maps — The Annals of Statistics 2024
- The HulC: confidence regions from convex hulls — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2024
- Minimax rates for heterogeneous causal effect estimation — The Annals of Statistics 2024
- Median regularity and honest inference — Biometrika 2023
- Gaussian universal likelihood ratio testing — Biometrika 2023
- Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
- Minimax optimality of permutation tests — The Annals of Statistics 2022
- Local permutation tests for conditional independence — The Annals of Statistics 2022
- Statistical Guarantees for Local Spectral Clustering on Random Neighborhood Graphs — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
- Path Length Bounds for Gradient Descent and Flow — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
- Minimax optimal conditional independence testing — The Annals of Statistics 2021
- Robust estimation via robust gradient estimation — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2020
- Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
- Robust multivariate nonparametric tests via projection averaging — The Annals of Statistics 2020
- Sharp instruments for classifying compliers and generalizing causal effects — The Annals of Statistics 2020
- Low Permutation-rank Matrices: Structural Properties and Noisy Completion — Journal of Machine Learning Research 2019 (name-matched, not ORCID-linked)
- Hypothesis testing for densities and high-dimensional multinomials: Sharp local minimax rates — The Annals of Statistics 2019
- Hypothesis testing for high-dimensional multinomials: A selective review — The Annals of Applied Statistics 2018
- Statistical and Computational Guarantees for the Baum-Welch Algorithm — Journal of Machine Learning Research 2017 (name-matched, not ORCID-linked)
- Statistical guarantees for the EM algorithm: From population to sample-based analysis — The Annals of Statistics 2017
- Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence — Journal of Machine Learning Research 2016 (name-matched, not ORCID-linked)
- Confidence sets for persistence diagrams — The Annals of Statistics 2014