{"total":17,"rows":[{"id":"2203.01537","title":"Private High-Dimensional Hypothesis Testing","created":"2022-03-03","cited_by_count":12,"area":null},{"id":"2206.02765","title":"Communication-constrained hypothesis testing: Optimality, robustness, and reverse data processing inequalities","created":"2022-06-06","cited_by_count":11,"area":null},{"id":"2301.03566","title":"Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints","created":"2023-01-09","cited_by_count":10,"area":null},{"id":"2108.07880","title":"Statistically Near-Optimal Hypothesis Selection","created":"2021-08-17","cited_by_count":7,"area":null},{"id":"2203.06870","title":"The Role of Interactivity in Structured Estimation","created":"2022-03-14","cited_by_count":7,"area":null},{"id":"2306.05734","title":"DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework","created":"2023-06-09","cited_by_count":4,"area":null},{"id":"2306.11312","title":"Data Structures for Density Estimation","created":"2023-06-20","cited_by_count":4,"area":null},{"id":"2406.17814","title":"Distribution Learnability and Robustness","created":"2024-06-25","cited_by_count":4,"area":null},{"id":"2312.05645","title":"Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity","created":"2023-12-09","cited_by_count":3,"area":null},{"id":"2604.07238","title":"On the Price of Privacy for Language Identification and Generation","created":"2026-04-08","cited_by_count":3,"area":null},{"id":"2410.23087","title":"Statistical-Computational Trade-offs for Density Estimation","created":"2024-10-30","cited_by_count":2,"area":null},{"id":"2412.00974","title":"Optimal Algorithms for Augmented Testing of Discrete Distributions","created":"2024-12-01","cited_by_count":2,"area":null},{"id":"2607.02896","title":"Open Problem: Is Interaction Necessary for Order-Optimal 1-bit Mean Estimation?","created":"2026-07-03","cited_by_count":2,"area":null},{"id":"2309.01698","title":"Robust Online Classification: From Estimation to Denoising","created":"2023-09-04","cited_by_count":0,"area":null},{"id":"2402.00315","title":"Online Distribution Learning with Local Private Constraints","created":"2024-02-01","cited_by_count":0,"area":null},{"id":"2506.01162","title":"Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor","created":"2025-06-01","cited_by_count":0,"area":null},{"id":"2509.16180","title":"Query-Efficient Locally Private Hypothesis Selection via the Scheffe Graph","created":"2025-09-19","cited_by_count":0,"area":null}],"next_cursor":null}