SB
Sivaraman Balakrishnan
stat.MLmath.STstat.THcs.LGstat.MEcs.AIcs.ITmath.ITmath.OCcs.CG
On Valency
published · living versionsW_azdgxx9g·v1 · currentpublished
When is it Better to Compare than to Score?
with Nihar B. Shah, Joseph Bradley, Abhay Parekh, Kannan Ramchandran +1
1 version
Preprints & journals
94 papers in the corpus · 2009–2026Optimal Inference with Black-box Predictions2608.10155v1 · Lucas Kania, Abhinav Chakraborty, Edward Kennedy et al.2026 · 0 citationsarXiv
The Fundamental Limits of Valid Transport Map Estimation2606.30574v1 · Sivaraman Balakrishnan2026 · 0 citationsarXiv
Causal Inference with High-dimensional Discrete Covariates2405.00118v3 · Zhenghao Zeng, Sivaraman Balakrishnan, Yanjun Han et al.2024 · 1 citationarXiv
Testing Imprecise Hypotheses2510.20717v2 · Lucas Kania, Tudor Manole, Larry Wasserman et al.2025 · 0 citationsarXiv
Panprediction: Optimal Predictions for Any Downstream Task and Loss2510.27638v1 · Sivaraman Balakrishnan, Nika Haghtalab, Daniel Hsu et al.2025 · 0 citationsarXiv
Robust Universal Inference For Misspecified Models2307.04034v4 · Beomjo Park, Sivaraman Balakrishnan, Larry Wasserman2023 · 2 citationsarXiv
Statistical Inference for Optimal Transport Maps: Recent Advances and Perspectives2506.19025v1 · Sivaraman Balakrishnan, Tudor Manole, Larry Wasserman2025 · 0 citationsarXiv
The Fundamental Limits of Structure-Agnostic Functional Estimation2305.04116v2 · Sivaraman Balakrishnan, Edward H. Kennedy, Larry Wasserman2023 · 4 citationsarXiv
Minimax rates for heterogeneous causal effect estimation.40171204 · Kennedy, Edward H, Balakrishnan, Sivaraman, Robins, James M et al.2025 · 18 citationsAnnals of statistics. 2024;52(2):793-816
Double Cross-fit Doubly Robust Estimators: Beyond Series Regression2403.15175v3 · Alec McClean, Sivaraman Balakrishnan, Edward H. Kennedy et al.2024 · 1 citationarXiv
Stability Bounds for Smooth Optimal Transport Maps and their Statistical Implications2502.12326v1 · Sivaraman Balakrishnan, Tudor Manole2025 · 0 citationsarXiv
Doubly-robust inference and optimality in structure-agnostic models with smoothness2405.08525v2 · Matteo Bonvini, Edward H. Kennedy, Oliver Dukes et al.2024 · 0 citationsarXiv
Stochastic interventions, sensitivity analysis, and optimal transport2411.14285v1 · Alexander W. Levis, Edward H. Kennedy, Alec McClean et al.2024 · 0 citationsarXiv
Two-Sample Testing with a Graph-Based Total Variation Integral Probability Metric2409.15628v1 · Alden Green, Sivaraman Balakrishnan, Ryan J. Tibshirani2024 · 0 citationsarXiv
Central Limit Theorems for Smooth Optimal Transport Maps2312.12407v2 · Tudor Manole, Sivaraman Balakrishnan, Jonathan Niles-Weed et al.2023 · 4 citationsarXiv
Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments2309.00706v2 · Zach Branson, Edward H. Kennedy, Sivaraman Balakrishnan et al.2023 · 1 citationarXiv
Plugin Estimation of Smooth Optimal Transport Maps2107.12364v3 · Tudor Manole, Sivaraman Balakrishnan, Jonathan Niles-Weed et al.2021 · 39 citationsarXiv
Semi-Supervised U-statistics2402.18921v2 · Ilmun Kim, Larry Wasserman, Sivaraman Balakrishnan et al.2024 · 0 citationsarXiv
Minimax rates for heterogeneous causal effect estimation2203.00837v4 · Edward H. Kennedy, Sivaraman Balakrishnan, James M. Robins et al.2022 · 18 citationsarXiv
Conditional Independence Testing for Discrete Distributions: Beyond $\chi^2$- and $G$-tests2308.05373v2 · Ilmun Kim, Matey Neykov, Sivaraman Balakrishnan et al.2023 · 0 citationsarXiv
Conservative Inference for Counterfactuals2310.12757v1 · Sivaraman Balakrishnan, Edward Kennedy, Larry Wasserman2023 · 0 citationsarXiv
The HulC: Confidence Regions from Convex Hulls2105.14577v2 · Arun Kumar Kuchibhotla, Sivaraman Balakrishnan, Larry Wasserman2021 · 7 citationsarXiv
Nearly Minimax Optimal Wasserstein Conditional Independence Testing2308.08672v1 · Matey Neykov, Larry Wasserman, Ilmun Kim et al.2023 · 1 citationarXiv
RLSbench: Domain Adaptation Under Relaxed Label Shift2302.03020v2 · Saurabh Garg, Nick Erickson, James Sharpnack et al.2023 · 0 citationsarXiv
Domain Adaptation under Missingness Shift2211.02093v3 · Helen Zhou, Sivaraman Balakrishnan, Zachary C. Lipton2022 · 1 citationarXiv
Gaussian Universal Likelihood Ratio Testing2104.14676v3 · Robin Dunn, Aaditya Ramdas, Sivaraman Balakrishnan et al.2021 · 13 citationsarXiv
Universal Inference1912.11436v4 · Larry Wasserman, Aaditya Ramdas, Sivaraman Balakrishnan2019 · 129 citationsarXiv
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance2201.04234v3 · Saurabh Garg, Sivaraman Balakrishnan, Zachary C. Lipton et al.2022 · 19 citationsarXiv
Median Regularity and Honest Inference2206.02954v1 · Arun Kumar Kuchibhotla, Sivaraman Balakrishnan, Larry Wasserman2022 · 1 citationarXiv
Minimax optimality of permutation tests2003.13208v3 · Ilmun Kim, Sivaraman Balakrishnan, Larry Wasserman2020 · 43 citationsarXiv
Minimax Confidence Intervals for the Sliced Wasserstein Distance1909.07862v3 · Tudor Manole, Sivaraman Balakrishnan, Larry Wasserman2019 · 26 citationsElectronic Journal of Statistics 2022, Vol 16, No. 1, 2252-2345
Heavy-tailed Streaming Statistical Estimation2108.11483v2 · Che-Ping Tsai, Adarsh Prasad, Sivaraman Balakrishnan et al.2021 · 1 citationarXiv
Local permutation tests for conditional independence2112.11666v2 · Ilmun Kim, Matey Neykov, Sivaraman Balakrishnan et al.2021 · 14 citationsarXiv
Statistical Guarantees for Local Spectral Clustering on Random Neighborhood Graphs1911.09714v2 · Alden Green, Sivaraman Balakrishnan, Ryan J. Tibshirani2019 · 0 citationsarXiv
Minimax Optimal Regression over Sobolev Spaces via Laplacian Eigenmaps on Neighborhood Graphs2111.07394v1 · Alden Green, Sivaraman Balakrishnan, Ryan J. Tibshirani2021 · 0 citationsarXiv
RATT: Leveraging Unlabeled Data to Guarantee Generalization2105.00303v2 · Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter et al.2021 · 2 citationsarXiv
Mixture Proportion Estimation and PU Learning: A Modern Approach2111.00980v1 · Saurabh Garg, Yifan Wu, Alex Smola et al.2021 · 5 citationsarXiv
Path Length Bounds for Gradient Descent and Flow1908.01089v4 · Chirag Gupta, Sivaraman Balakrishnan, Aaditya Ramdas2019 · 12 citationsarXiv
On Proximal Policy Optimization's Heavy-tailed Gradients2102.10264v2 · Saurabh Garg, Joshua Zhanson, Emilio Parisotto et al.2021 · 2 citationsarXiv
Minimax Optimal Conditional Independence Testing2001.03039v4 · Matey Neykov, Sivaraman Balakrishnan, Larry Wasserman2020 · 31 citationsarXiv
Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs2106.01529v1 · Alden Green, Sivaraman Balakrishnan, Ryan J. Tibshirani2021 · 3 citationsarXiv
Minimax Optimal Conditional Density Estimation under Total Variation Smoothness2103.07095v1 · Michael Li, Matey Neykov, Sivaraman Balakrishnan2021 · 8 citationsarXiv
Interactive Martingale Tests for the Global Null1909.07339v5 · Boyan Duan, Aaditya Ramdas, Sivaraman Balakrishnan et al.2019 · 13 citationsElectronic Journal of Statistics 14 (2020) 4489-4551
Semiparametric counterfactual density estimation2102.12034v1 · Edward H. Kennedy, Sivaraman Balakrishnan, Larry Wasserman2021 · 2 citationsarXiv
A Permutation-based Model for Crowd Labeling: Optimal Estimation and Robustness1606.09632v3 · Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright2016 · 45 citationsarXiv
Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions2006.11909v2 · Charvi Rastogi, Sivaraman Balakrishnan, Nihar B. Shah et al.2020 · 2 citationsarXiv
Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information1806.03286v2 · Yichong Xu, Sivaraman Balakrishnan, Aarti Singh et al.2018 · 7 citationsJournal of Machine Learning Research 21 (2020) 1-54
A Unified View of Label Shift Estimation2003.07554v3 · Saurabh Garg, Yifan Wu, Sivaraman Balakrishnan et al.2020 · 7 citationsarXiv
Discussion of "On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning"2006.09613v1 · Edward H. Kennedy, Sivaraman Balakrishnan, Larry A. Wasserman2020 · 5 citationsarXiv
Gaussian Mixture Clustering Using Relative Tests of Fit1910.02566v1 · Purvasha Chakravarti, Sivaraman Balakrishnan, Larry Wasserman2019 · 3 citationsarXiv
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