Sivaraman Balakrishnan

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2012–2026

Best venue rank

Where they publish

Papers

24 indexed papers, newest first.

Year	Venue	Title	Authors
2026	ISIT	On Robust Hypothesis Testing with respect to the Hellinger Distance.	Eeshan Modak, Sivaraman Balakrishnan, Ananda Theertha Suresh
2023	AISTATS	Domain Adaptation under Missingness Shift.	Helen Zhou, Sivaraman Balakrishnan, Zachary C. Lipton
2023	ICML	RLSbench: Domain Adaptation Under Relaxed Label Shift.	Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton
2022	AISTATS	Heavy-tailed Streaming Statistical Estimation.	Che-Ping Tsai, Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar
2022	ALT	Understanding Simultaneous Train and Test Robustness.	Pranjal Awasthi, Sivaraman Balakrishnan, Aravindan Vijayaraghavan
2022	ICLR	Leveraging unlabeled data to predict out-of-distribution performance.	Saurabh Garg, Sivaraman Balakrishnan, Zachary Chase Lipton, Behnam Neyshabur, Hanie Sedghi
2022	ISIT	No Rose for MLE: Inadmissibility of MLE for Evaluation Aggregation Under Levels of Expertise.	Charvi Rastogi, Ivan Stelmakh, Nihar B. Shah, Sivaraman Balakrishnan
2021	AISTATS	Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs.	Alden Green, Sivaraman Balakrishnan, Ryan J. Tibshirani
2021	ICML	RATT: Leveraging Unlabeled Data to Guarantee Generalization.	Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter, Zachary C. Lipton
2021	ICML	On Proximal Policy Optimization's Heavy-tailed Gradients.	Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Zachary C. Lipton, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Pradeep Ravikumar
2020	AISTATS	A Robust Univariate Mean Estimator is All You Need.	Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar
2020	ISIT	Two-Sample Testing on Pairwise Comparison Data and the Role of Modeling Assumptions.	Charvi Rastogi, Sivaraman Balakrishnan, Nihar B. Shah, Aarti Singh
2018	ACSSC	Interactive Linear Regression with Pairwise Comparisons.	Yichong Xu, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski
2018	AISTATS	Stochastic Zeroth-order Optimization in High Dimensions.	Yining Wang, Simon S. Du, Sivaraman Balakrishnan, Aarti Singh
2018	ICML	Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information.	Yichong Xu, Hariank Muthakana, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski
2018	ISIT	Low Permutation-Rank Matrices: Structural Properties and Noisy Completion.	Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
2018	SMC	Local White Matter Architecture Defines Functional Brain Dynamics.	Sivaraman Balakrishnan, Yo Joong Choe, Aarti Singh, Jean M. Vettel, Timothy D. Verstynen
2017	COLT	Computationally Efficient Robust Sparse Estimation in High Dimensions.	Sivaraman Balakrishnan, Simon S. Du, Jerry Li, Aarti Singh
2017	HOTNETS	Biases in Data-Driven Networking, and What to Do About Them.	Mihovil Bartulovic, Junchen Jiang, Sivaraman Balakrishnan, Vyas Sekar, Bruno Sinopoli
2016	ICML	Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues.	Nihar B. Shah, Sivaraman Balakrishnan, Aditya Guntuboyina, Martin J. Wainwright
2016	ISIT	Feeling the bern: Adaptive estimators for Bernoulli probabilities of pairwise comparisons.	Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
2015	AISTATS	Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence.	Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright
2012	ICML	Sparse Additive Functional and Kernel CCA.	Sivaraman Balakrishnan, Kriti Puniyani, John D. Lafferty
2012	ICML	Efficient Active Algorithms for Hierarchical Clustering.	Akshay Krishnamurthy, Sivaraman Balakrishnan, Min Xu, Aarti Singh