← Authors

Jayadev Acharya

39 papers · 2011–2024 · 6 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) πŸƒ Academic Marathon (13) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (6) πŸ—ΊοΈ Taxonomy Completionist (13) 🌈 Renaissance Researcher (7) 🀝 Dynamic Duo (15) πŸ† Keyword Champion (2) πŸ”¬ Deep Specialist (19) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (14) ⚑ Prolific Year (8) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (153) πŸ’Ž Century Club (39)

Conferences

NIPS (12) COLT (9) ICML (9) AISTATS (5) ALT (3) JMLR (1)

Top co-authors

Ziteng Sun (15) Himanshu Tyagi (10) Alon Orlitsky (8) Ananda Theertha Suresh (7) Ashkan Jafarpour (6) Huanyu Zhang (6) Gautam Kamath (5) Clement Canonne (5) ClΓ©ment L Canonne (4) Hirakendu Das (4)

Research topics

Statistics (5) Differential Privacy (2) Privacy (1) Probability (1)

Keywords

sample complexity (14) distribution estimation (8) hypothesis testing (8) differential privacy (7) distribution testing (7) local differential privacy (7) communication constraint (7) discrete distribution (4) density estimation (3) distribution learning (3) entropy estimation (3) gaussian distribution (2) statistical learning theory (2) parameter estimation (2) minimax lower bound (2) convex optimization (2) distributed estimation (2) statistical estimation (2) sparse estimation (2) information theory (2)

Papers

The role of randomness in quantum state certification with unentangled measurements COLT 2024
Sample Complexity of Distinguishing Cause from Effect AISTATS 2023
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks NIPS 2023
Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints NIPS 2023
Discrete Distribution Estimation under User-level Local Differential Privacy AISTATS 2023
Robust Estimation for Random Graphs COLT 2022
The Role of Interactivity in Structured Estimation COLT 2022
Estimating Sparse Discrete Distributions Under Privacy and Communication Constraints ALT 2021
Differentially Private Assouad, Fano, and Le Cam ALT 2021
Principal Bit Analysis: Autoencoding with Schur-Concave Loss ICML 2021
Robust Testing and Estimation under Manipulation Attacks ICML 2021
Information-constrained optimization: can adaptive processing of gradients help? NIPS 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning NIPS 2021
Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition NIPS 2021
Optimal Rates for Nonparametric Density Estimation under Communication Constraints NIPS 2021
Distributed Signal Detection under Communication Constraints COLT 2020
Context Aware Local Differential Privacy ICML 2020
Optimal multiclass overfitting by sequence reconstruction from Hamming queries ALT 2020
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit COLT 2020
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication AISTATS 2019
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters ICML 2019
Distributed Learning with Sublinear Communication ICML 2019
Communication-Constrained Inference and the Role of Shared Randomness ICML 2019
Inference under Information Constraints: Lower Bounds from Chi-Square Contraction COLT 2019
Estimating Entropy of Distributions in Constant Space NIPS 2019
Test without Trust: Optimal Locally Private Distribution Testing AISTATS 2019
Maximum Selection and Sorting with Adversarial Comparators JMLR 2018
Learning and Testing Causal Models with Interventions NIPS 2018
Differentially Private Testing of Identity and Closeness of Discrete Distributions NIPS 2018
INSPECTRE: Privately Estimating the Unseen ICML 2018
A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions ICML 2017
Fast Algorithms for Segmented Regression ICML 2016
Optimal Testing for Properties of Distributions NIPS 2015
Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures NIPS 2014
A Competitive Test for Uniformity of Monotone Distributions AISTATS 2013
Optimal Probability Estimation with Applications to Prediction and Classification COLT 2013
Competitive Classification and Closeness Testing COLT 2012
Tight Bounds on Profile Redundancy and Distinguishability NIPS 2012
Competitive Closeness Testing COLT 2011