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Aaditya Ramdas

Identifiers

  • name variant Aaditya Ramdas 0.60 · backfill

Papers (51)

  1. Optimal Rates for Differentially Private Hypothesis Testing with E-values cs.CR · 2026 · author #5
  2. Distribution-free root cause analysis stat.ME · 2026 · author #2
  3. Intrinsic-dimension empirical Bernstein inequalities for bounded self-adjoint operators math.ST · 2026 · author #2
  4. Optimal sequential tests yield log-optimal e-processes math.ST · 2026 · author #2
  5. The optimal betting wealth growth rate math.ST · 2026 · author #2
  6. Optimal e-variables under constraints stat.ME · 2026 · author #2
  7. E-values and sequential power-one tests for monotonicity and unimodality math.ST · 2026 · author #2
  8. Cover meets Robbins while Betting on Bounded Data: $\ln n$ Regret and Almost Sure $\ln\ln n$ Regret cs.LG · 2026 · author #2
  9. Power one sequential tests exist for weakly compact $\mathscr P$ against $\mathscr P^c$ math.ST · 2026 · author #2
  10. Besag-Clifford e-values for unnormalized testing stat.ME · 2026 · author #3
  11. Online monotone density estimation and log-optimal calibration stat.ML · 2026 · author #3
  12. Almost sure null bankruptcy of testing-by-betting strategies math.PR · 2026 · author #3
  13. Eventually LIL Regret: Almost Sure $\ln\ln T$ Regret for a sub-Gaussian Mixture on Unbounded Data cs.LG · 2025 · author #2
  14. Vector-valued self-normalized concentration inequalities beyond sub-Gaussianity stat.ML · 2025 · author #3
  15. Sharp Empirical Bernstein Bounds for the Variance of Bounded Random Variables math.ST · 2025 · author #2
  16. Conditional independence testing with a single realization of a multivariate nonstationary nonlinear time series stat.ME · 2025 · author #3
  17. Post-detection inference for sequential changepoint localization stat.ML · 2025 · author #2
  18. Empirical Bernstein in smooth Banach spaces math.ST · 2024 · author #2
  19. Testing by Betting while Borrowing and Bargaining math.ST · 2024 · author #4
  20. Online Control of the False Coverage Rate and False Sign Rate stat.ME · 2019 · author #2
  21. A Higher-Order Kolmogorov-Smirnov Test stat.ML · 2019 · author #3
  22. SAFFRON: an adaptive algorithm for online control of the false discovery rate stat.ME · 2018 · author #1
  23. Online control of the false discovery rate with decaying memory stat.ME · 2017 · author #1
  24. DAGGER: A sequential algorithm for FDR control on DAGs stat.ME · 2017 · author #1
  25. A framework for Multi-A(rmed)/B(andit) testing with online FDR control stat.ML · 2017 · author #2
  26. Optimal Rates and Tradeoffs in Multiple Testing math.ST · 2017 · author #2
  27. Iterative methods for solving factorized linear systems math.NA · 2017 · author #3
  28. Decoding from Pooled Data: Sharp Information-Theoretic Bounds math.PR · 2016 · author #2
  29. The power of online thinning in reducing discrepancy math.PR · 2016 · author #4
  30. Function-Specific Mixing Times and Concentration Away from Equilibrium math.ST · 2016 · author #2
  31. On kernel methods for covariates that are rankings stat.ML · 2016 · author #2
  32. Asymptotic behavior of $\ell_p$-based Laplacian regularization in semi-supervised learning cs.LG · 2016 · author #3
  33. Minimax Lower Bounds for Linear Independence Testing stat.ML · 2016 · author #1
  34. The p-filter: multi-layer FDR control for grouped hypotheses stat.ME · 2015 · author #2
  35. On Wasserstein Two Sample Testing and Related Families of Nonparametric Tests math.ST · 2015 · author #1
  36. Adaptivity and Computation-Statistics Tradeoffs for Kernel and Distance based High Dimensional Two Sample Testing math.ST · 2015 · author #1
  37. Rows vs. Columns: Randomized Kaczmarz or Gauss-Seidel for Ridge Regression math.NA · 2015 · author #3
  38. Fast Two-Sample Testing with Analytic Representations of Probability Measures stat.ML · 2015 · author #2
  39. Sequential Nonparametric Testing with the Law of the Iterated Logarithm stat.ML · 2015 · author #2
  40. An Analysis of Active Learning With Uniform Feature Noise stat.ML · 2015 · author #1
  41. Algorithmic Connections Between Active Learning and Stochastic Convex Optimization cs.LG · 2015 · author #1
  42. Margins, Kernels and Non-linear Smoothed Perceptrons cs.LG · 2015 · author #1
  43. Convergence properties of the randomized extended Gauss-Seidel and Kaczmarz methods math.NA · 2015 · author #3
  44. On the High-dimensional Power of Linear-time Kernel Two-Sample Testing under Mean-difference Alternatives math.ST · 2014 · author #1
  45. Towards A Deeper Geometric, Analytic and Algorithmic Understanding of Margins math.OC · 2014 · author #1
  46. Rows vs Columns for Linear Systems of Equations - Randomized Kaczmarz or Coordinate Descent? math.OC · 2014 · author #1
  47. On the Decreasing Power of Kernel and Distance based Nonparametric Hypothesis Tests in High Dimensions stat.ML · 2014 · author #2
  48. Fast and Flexible ADMM Algorithms for Trend Filtering stat.ML · 2014 · author #1
  49. Nonparametric Independence Testing for Small Sample Sizes stat.ML · 2014 · author #1
  50. Regularized brain reading with shrinkage and smoothing stat.AP · 2014 · author #2
  51. Optimal rates for first-order stochastic convex optimization under Tsybakov noise condition cs.LG · 2012 · author #1

Mentions

  • 1401.6595 #2 · backfill · confidence 0.70 Aaditya Ramdas
  • 2605.28952 #5 · arxiv_oai · confidence 0.70 Aaditya Ramdas
  • 2505.01987 #2 · arxiv_oai · confidence 0.70 Aaditya Ramdas
  • 2409.06060 #2 · arxiv_oai · confidence 0.70 Aaditya Ramdas
  • 2602.08927 #3 · arxiv_oai · confidence 0.70 Aaditya Ramdas
  • 1207.3012 #1 · backfill · confidence 0.70 Aaditya Ramdas
  • 2605.21627 #2 · arxiv_oai · confidence 0.70 Aaditya Ramdas
  • 2605.15278 #2 · arxiv_oai · confidence 0.70 Aaditya Ramdas
  • 2511.03606 #3 · arxiv_oai · confidence 0.70 Aaditya Ramdas

Frequent Coauthors