Gautam Kamath
42 papers · 2014–2026 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
π Conference Polyglot (6) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (11)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(38)
π
Conference Polyglot
(6)
π
Triple Crown
π
Grand Slam
π¬
Deep Specialist
(21)
π
Keyword Champion
(4)
ποΈ
Keyword Collector
(129)
π
Trend Setter
β‘
Prolific Year
(8)
π₯
Unstoppable
(9)
π
Century Club
(41)
Conferences
NIPS (14)
ICML (12)
COLT (9)
ALT (3)
AAAI (2)
ICLR (2)
Top co-authors
Research topics
Keywords
differential privacy
(22)
sample complexity
(9)
total variation distance
(5)
gaussian distribution
(4)
mean estimation
(4)
covariance estimation
(4)
distribution learning
(4)
hypothesis testing
(3)
hypothesis selection
(3)
lower bound
(2)
proper learning
(2)
data poisoning
(2)
parameter estimation
(2)
heavy-tailed distribution
(2)
sensitivity analysis
(2)
robust estimation
(2)
machine unlearning
(2)
statistical learning
(2)
ising model
(2)
statistical estimation
(2)
Papers
Demystifying Foreground-Background Memorization in Diffusion Models
AAAI 2026
Machine Unlearning Fails to Remove Data Poisoning Attacks
ICLR 2025
Optimal Differentially Private Sampling of Unbounded Gaussians
COLT 2025
Algorithmic Learning Theory 2025: Preface
ALT 2025
On the Learnability of Distribution Classes with Adaptive Adversaries
ICML 2025
Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining
ICML 2024
Differentially Private Post-Processing for Fair Regression
ICML 2024
Not All Learnable Distribution Classes are Privately Learnable
ALT 2024
Disguised Copyright Infringement of Latent Diffusion Models
ICML 2024
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks
ICML 2023
Private Distribution Learning with Public Data: The View from Sample Compression
NIPS 2023
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks
NIPS 2023
Distribution Learnability and Robustness
NIPS 2023
The Price of Tolerance in Distribution Testing
COLT 2022
A Private and Computationally-Efficient Estimator for Unbounded Gaussians
COLT 2022
Robust Estimation for Random Graphs
COLT 2022
Private Estimation with Public Data
NIPS 2022
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data
ICML 2022
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma
NIPS 2022
Differentially Private Fine-tuning of Language Models
ICLR 2022
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection
AAAI 2022
PAPRIKA: Private Online False Discovery Rate Control
ICML 2021
On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians
ALT 2021
Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization
NIPS 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning
NIPS 2021
Locally Private Hypothesis Selection
COLT 2020
Privately Learning Markov Random Fields
ICML 2020
Private Identity Testing for High-Dimensional Distributions
NIPS 2020
The Discrete Gaussian for Differential Privacy
NIPS 2020
CoinPress: Practical Private Mean and Covariance Estimation
NIPS 2020
Private Mean Estimation of Heavy-Tailed Distributions
COLT 2020
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians
NIPS 2019
Privately Learning High-Dimensional Distributions
COLT 2019
Sever: A Robust Meta-Algorithm for Stochastic Optimization
ICML 2019
Private Hypothesis Selection
NIPS 2019
Actively Avoiding Nonsense in Generative Models
COLT 2018
INSPECTRE: Privately Estimating the Unseen
ICML 2018
PrivβIT: Private and Sample Efficient Identity Testing
ICML 2017
Being Robust (in High Dimensions) Can Be Practical
ICML 2017
Concentration of Multilinear Functions of the Ising Model with Applications to Network Data
NIPS 2017
Optimal Testing for Properties of Distributions
NIPS 2015
Faster and Sample Near-Optimal Algorithms for Proper Learning Mixtures of Gaussians
COLT 2014