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researcher

A. Suresh

60 papers hereh-index 3926.8k citations124 works total

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

author position
  • sole author2
  • first author2
  • middle author26
  • last author28

Across the 58 of 60 papers where every author was matched, so the position is known.

fields
  • cs.LG35
  • cs.DS6
  • stat.ML5
  • cs.CL4
  • cs.IT4
  • math.ST3
same name
  • A. Suresh — 10 papers, h 6
  • A. Suresh — 2 papers, h 5
  • A. Suresh — 2 papers, h 2
  • A. Suresh — 1 paper, h 10
  • A. Suresh — 1 paper, h 1
  • A. Suresh — 1 paper, h 4

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 citedCan You Really Backdoor Federated Learning?

368 citations · 921 across the 28 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

stat.ML2017★ 1 cited

Lattice Rescoring Strategies for Long Short Term Memory Language Models in Speech Recognition

Shankar Kumar, Michael Nirschl, Daniel Holtmann-Rice +3

Recurrent neural network (RNN) language models (LMs) and Long Short Term Memory (LSTM) LMs, a variant of RNN LMs, have been shown to outperform traditional N-gram LMs on speech rec…

stat.ML2017★ 25 cited

Model-Powered Conditional Independence Test

Rajat Sen, Ananda Theertha Suresh, Karthikeyan Shanmugam +2

We consider the problem of non-parametric Conditional Independence testing (CI testing) for continuous random variables. Given i.i.d samples from the joint distribution f(x,y,z)…

cs.LG2017★ 18 cited

Maximum Selection and Ranking under Noisy Comparisons

Moein Falahatgar, Alon Orlitsky, Venkatadheeraj Pichapati +1

We consider (ε,δ)-PAC maximum-selection and ranking for general probabilistic models whose comparisons probabilities satisfy strong stochastic transitivity and stochastic triangl…

cs.IT2017

Minimax Risk for Missing Mass Estimation

Nikhilesh Rajaraman, Andrew Thangaraj, Ananda Theertha Suresh

The problem of estimating the missing mass or total probability of unseen elements in a sequence of n random samples is considered under the squared error loss function. The wors…

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