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Sivaraman Balakrishnan

Identifiers

  • name variant Sivaraman Balakrishnan 0.60 · backfill

Papers (32)

  1. High-Dimensional Statistics: Reflections on Progress and Open Problems math.ST · 2026 · author #3
  2. On the Equivalence between Neyman Orthogonality and Pathwise Differentiability stat.ME · 2026 · author #3
  3. On Robust Hypothesis Testing with respect to the Hellinger Distance math.ST · 2025 · author #2
  4. A Unified Approach to Robust Mean Estimation stat.ML · 2019 · author #2
  5. Robust Nonparametric Regression under Huber's $\epsilon$-contamination Model math.ST · 2018 · author #3
  6. How Many Samples are Needed to Estimate a Convolutional or Recurrent Neural Network? stat.ML · 2018 · author #4
  7. Local White Matter Architecture Defines Functional Brain Dynamics stat.AP · 2018 · author #2
  8. Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates stat.ML · 2018 · author #2
  9. Robust Multivariate Nonparametric Tests via Projection-Averaging math.ST · 2018 · author #2
  10. Robust Estimation via Robust Gradient Estimation stat.ML · 2018 · author #3
  11. Sharp instruments for classifying compliers and generalizing causal effects stat.ME · 2018 · author #2
  12. Hypothesis Testing for High-Dimensional Multinomials: A Selective Review stat.ML · 2017 · author #1
  13. Discussion of "Data-driven confounder selection via Markov and Bayesian networks" by Jenny H\"aggstr\"om stat.ME · 2017 · author #2
  14. Stochastic Zeroth-order Optimization in High Dimensions stat.ML · 2017 · author #3
  15. Low Permutation-rank Matrices: Structural Properties and Noisy Completion stat.ML · 2017 · author #2
  16. Hypothesis Testing For Densities and High-Dimensional Multinomials: Sharp Local Minimax Rates math.ST · 2017 · author #1
  17. Computationally Efficient Robust Estimation of Sparse Functionals stat.ML · 2017 · author #2
  18. Rate Optimal Estimation and Confidence Intervals for High-dimensional Regression with Missing Covariates stat.ML · 2017 · author #3
  19. Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences stat.ML · 2016 · author #3
  20. Arbitrage-Free Combinatorial Market Making via Integer Programming cs.GT · 2016 · author #4
  21. Statistical Inference for Cluster Trees math.ST · 2016 · author #3
  22. Feeling the Bern: Adaptive Estimators for Bernoulli Probabilities of Pairwise Comparisons cs.LG · 2016 · author #2
  23. Statistical and Computational Guarantees for the Baum-Welch Algorithm stat.ML · 2015 · author #2
  24. Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues stat.ML · 2015 · author #2
  25. Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence cs.LG · 2015 · author #2
  26. Statistical guarantees for the EM algorithm: From population to sample-based analysis math.ST · 2014 · author #1
  27. When is it Better to Compare than to Score? stat.ML · 2014 · author #2
  28. Tight Lower Bounds for Homology Inference stat.ML · 2013 · author #1
  29. Cluster Trees on Manifolds stat.ML · 2013 · author #1
  30. Confidence sets for persistence diagrams math.ST · 2013 · author #5
  31. Recovering Block-structured Activations Using Compressive Measurements stat.ML · 2012 · author #1
  32. Minimax Rates for Homology Inference stat.ML · 2011 · author #1

Mentions

  • 1408.2156 #1 · backfill · confidence 0.70 Sivaraman Balakrishnan
  • 1406.6618 #2 · backfill · confidence 0.70 Sivaraman Balakrishnan
  • 1307.7666 #1 · backfill · confidence 0.70 Sivaraman Balakrishnan
  • 1307.6515 #1 · backfill · confidence 0.70 Sivaraman Balakrishnan
  • 1303.7117 #5 · backfill · confidence 0.70 Sivaraman Balakrishnan
  • 2605.05076 #3 · arxiv_oai · confidence 0.70 Sivaraman Balakrishnan
  • 1209.3431 #1 · backfill · confidence 0.70 Sivaraman Balakrishnan
  • 1112.5627 #1 · backfill · confidence 0.70 Sivaraman Balakrishnan

Frequent Coauthors