| 2025 | ICLR | Block Verification Accelerates Speculative Decoding. | Ziteng Sun, Uri Mendlovic, Yaniv Leviathan, Asaf Aharoni, Jae Hun Ro, Ahmad Beirami, Ananda Theertha Suresh |
| 2025 | ICML | InfAlign: Inference-aware language model alignment. | Ananth Balashankar, Ziteng Sun, Jonathan Berant, Jacob Eisenstein, Michael Collins, Adrian Hutter, Jong Lee, Chirag Nagpal, Flavien Prost, Aradhana Sinha, Ananda Theertha Suresh, Ahmad Beirami |
| 2024 | ICLR | The importance of feature preprocessing for differentially private linear optimization. | Ziteng Sun, Ananda Theertha Suresh, Aditya Krishna Menon |
| 2024 | ISIT | Asymptotics of Language Model Alignment. | Joy Qiping Yang, Salman Salamatian, Ziteng Sun, Ananda Theertha Suresh, Ahmad Beirami |
| 2023 | AISTATS | Sample Complexity of Distinguishing Cause from Effect. | Jayadev Acharya, Sourbh Bhadane, Arnab Bhattacharyya, Saravanan Kandasamy, Ziteng Sun |
| 2023 | AISTATS | Discrete Distribution Estimation under User-level Local Differential Privacy. | Jayadev Acharya, Yuhan Liu, Ziteng Sun |
| 2023 | ICML | User-level Private Stochastic Convex Optimization with Optimal Rates. | Raef Bassily, Ziteng Sun |
| 2023 | ICML | Subset-Based Instance Optimality in Private Estimation. | Travis Dick, Alex Kulesza, Ziteng Sun, Ananda Theertha Suresh |
| 2023 | ICML | Federated Heavy Hitter Recovery under Linear Sketching. | Adri Gascn, Peter Kairouz, Ziteng Sun, Ananda Theertha Suresh |
| 2023 | ISIT | Concentration Bounds for Discrete Distribution Estimation in KL Divergence. | Clment L. Canonne, Ziteng Sun, Ananda Theertha Suresh |
| 2022 | COLT | The Role of Interactivity in Structured Estimation. | Jayadev Acharya, Clment L. Canonne, Himanshu Tyagi, Ziteng Sun |
| 2022 | ICML | Correlated Quantization for Distributed Mean Estimation and Optimization. | Ananda Theertha Suresh, Ziteng Sun, Jae Ro, Felix X. Yu |
| 2021 | ALT | Estimating Sparse Discrete Distributions Under Privacy and Communication Constraints. | Jayadev Acharya, Peter Kairouz, Yuhan Liu, Ziteng Sun |
| 2021 | ALT | Differentially Private Assouad, Fano, and Le Cam. | Jayadev Acharya, Ziteng Sun, Huanyu Zhang |
| 2021 | ICML | Robust Testing and Estimation under Manipulation Attacks. | Jayadev Acharya, Ziteng Sun, Huanyu Zhang |
| 2021 | ISIT | Interactive Inference under Information Constraints. | Jayadev Acharya, Clment L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi |
| 2020 | COLT | Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. | Jayadev Acharya, Clment L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi |
| 2020 | ICML | Context Aware Local Differential Privacy. | Jayadev Acharya, Kallista A. Bonawitz, Peter Kairouz, Daniel Ramage, Ziteng Sun |
| 2019 | AISTATS | Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication. | Jayadev Acharya, Ziteng Sun, Huanyu Zhang |
| 2019 | ICML | Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters. | Jayadev Acharya, Ziteng Sun |
| 2018 | ICML | INSPECTRE: Privately Estimating the Unseen. | Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang |
| 2018 | ISIT | Improved Bounds for Minimax Risk of Estimating Missing Mass. | Jayadev Acharya, Yelun Bao, Yuheng Kang, Ziteng Sun |
| 2016 | GLOBECOM | Optimal Byzantine Attack and Byzantine Identification in Distributed Sensor Networks. | Ziteng Sun, Chuang Zhang, Pingyi Fan |