Arun Ganesh
13 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13) π§ Keyword Pioneer π Conference Polyglot (5)
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Academic Marathon
(5)
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Renaissance Researcher
(5)
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Prolific Year
(5)
π
Century Club
(13)
β
The Questioner
Conferences
ICLR (4)
NIPS (4)
ICML (3)
ALT (1)
COLT (1)
Top co-authors
Research topics
Keywords
differential privacy
(7)
private model training
(2)
exponential mechanism
(2)
private training
(2)
transfer learning
(1)
convex optimization
(1)
matrix factorization
(1)
logistic regression
(1)
loss landscape
(1)
markov chain monte carlo
(1)
renyi divergence
(1)
variance reduction
(1)
distribution shift
(1)
linear regression
(1)
mirror descent
(1)
newton's method
(1)
public datum
(1)
second-order method
(1)
privacy amplification
(1)
langevin diffusion
(1)
Papers
Near-Optimal Rates for O(1)-Smooth DP-SCO with a Single Epoch and Large Batches
ALT 2025
Itβs My Data Too: Private ML for Datasets with Multi-User Training Examples
ICML 2025
Near-Exact Privacy Amplification for Matrix Mechanisms
ICLR 2025
The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD
ICLR 2025
Correlated Noise Provably Beats Independent Noise for Differentially Private Learning
ICLR 2024
Privacy Amplification for Matrix Mechanisms
ICLR 2024
(Amplified) Banded Matrix Factorization: A unified approach to private training
NIPS 2023
Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks
NIPS 2023
Faster Differentially Private Convex Optimization via Second-Order Methods
NIPS 2023
Why Is Public Pretraining Necessary for Private Model Training?
ICML 2023
Universality of Langevin Diffusion for Private Optimization, with Applications to Sampling from Rashomon Sets
COLT 2023
Public Data-Assisted Mirror Descent for Private Model Training
ICML 2022
Faster Differentially Private Samplers via RΓ©nyi Divergence Analysis of Discretized Langevin MCMC
NIPS 2020