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Aaditya Ramdas

88 papers hereh-index 4710k citations309 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author6
  • middle author23
  • last author55

Across the 85 of 88 papers where every author was matched, so the position is known.

fields
  • stat.ME30
  • math.ST28
  • stat.ML13
  • cs.LG7
  • math.PR4
  • quant-ph2
same name
  • Aaditya Ramdas — 17 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152026
most citedFast Two-Sample Testing with Analytic Representations of Probability Measures

72 citations · 124 across the 36 of their papers we have counts for

collaborators
Showing math.PRShow all

4 papers · 1 filter

math.PR2026

Almost sure null bankruptcy of testing-by-betting strategies

Hongjian Wang, Shubhada Agrawal, Aaditya Ramdas

The bounded mean betting procedure serves as a crucial interface between the domains of (1) sequential, anytime-valid statistical inference, and (2) online learning and portfolio s…

math.PR2025

A variational approach to dimension-free self-normalized concentration

Ben Chugg, Aaditya Ramdas

We study the self-normalized concentration of vector-valued stochastic processes. We focus on bounds for "sub-ψ" processes, a well-known and quite general class of process that e…

math.PR2025

Nonasymptotic and distribution-uniform Komlós-Major-Tusnády approximation

Ian Waudby-Smith, Martin Larsson, Aaditya Ramdas

We present nonasymptotic concentration inequalities for sums of independent and identically distributed random variables that yield asymptotic strong Gaussian approximations of Kom…

math.PR2024

Sharp Matrix Empirical Bernstein Inequalities

Hongjian Wang, Aaditya Ramdas

We present two sharp, closed-form empirical Bernstein inequalities for symmetric random matrices with bounded eigenvalues. By sharp, we mean that both inequalities adapt to the unk…

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