Sun, Ziteng

30 publications

ICLR 2025 Block Verification Accelerates Speculative Decoding Ziteng Sun, Uri Mendlovic, Yaniv Leviathan, Asaf Aharoni, Jae Hun Ro, Ahmad Beirami, Ananda Theertha Suresh

ICML 2025 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

NeurIPS 2025 Private Set Union with Multiple Contributions Travis Dick, Haim Kaplan, Alex Kulesza, Uri Stemmer, Ziteng Sun, Ananda Theertha Suresh

ICMLW 2024 Block Verification Accelerates Speculative Decoding Ziteng Sun, Uri Mendlovic, Yaniv Leviathan, Asaf Aharoni, Ahmad Beirami, Jae Hun Ro, Ananda Theertha Suresh

ICLR 2024 The Importance of Feature Preprocessing for Differentially Private Linear Optimization Ziteng Sun, Ananda Theertha Suresh, Aditya Krishna Menon

AISTATS 2023 Discrete Distribution Estimation Under User-Level Local Differential Privacy Jayadev Acharya, Yuhan Liu, Ziteng Sun

ICML 2023 Federated Heavy Hitter Recovery Under Linear Sketching Adria Gascon, Peter Kairouz, Ziteng Sun, Ananda Theertha Suresh

ICMLW 2023 Federated Heavy Hitter Recovery Under Linear Sketching Adria Gascon, Peter Kairouz, Ziteng Sun, Ananda Theertha Suresh

AISTATS 2023 Sample Complexity of Distinguishing Cause from Effect Jayadev Acharya, Sourbh Bhadane, Arnab Bhattacharyya, Saravanan Kandasamy, Ziteng Sun

NeurIPSW 2023 SpecTr++: Improved Transport Plans for Speculative Decoding of Large Language Models Kwangjun Ahn, Ahmad Beirami, Ziteng Sun, Ananda Theertha Suresh

NeurIPS 2023 SpecTr: Fast Speculative Decoding via Optimal Transport Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix Yu

ICMLW 2023 SpecTr: Fast Speculative Decoding via Optimal Transport Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix Yu, Michael Riley, Sanjiv Kumar

ICML 2023 Subset-Based Instance Optimality in Private Estimation Travis Dick, Alex Kulesza, Ziteng Sun, Ananda Theertha Suresh

NeurIPS 2023 Unified Lower Bounds for Interactive High-Dimensional Estimation Under Information Constraints Jayadev Acharya, Clément L Canonne, Ziteng Sun, Himanshu Tyagi

ICML 2023 User-Level Private Stochastic Convex Optimization with Optimal Rates Raef Bassily, Ziteng Sun

ICML 2022 Correlated Quantization for Distributed Mean Estimation and Optimization Ananda Theertha Suresh, Ziteng Sun, Jae Ro, Felix Yu

COLT 2022 The Role of Interactivity in Structured Estimation Jayadev Acharya, Clement L. Canonne, Ziteng Sun, Himanshu Tyagi

FnTML 2021 Advances and Open Problems in Federated Learning Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao

ALT 2021 Differentially Private Assouad, Fano, and Le Cam Jayadev Acharya, Ziteng Sun, Huanyu Zhang

NeurIPS 2021 Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition Jayadev Acharya, Clement Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi

ALT 2021 Estimating Sparse Discrete Distributions Under Privacy and Communication Constraints Jayadev Acharya, Peter Kairouz, Yuhan Liu, Ziteng Sun

NeurIPS 2021 Learning with User-Level Privacy Daniel Levy, Ziteng Sun, Kareem Amin, Satyen Kale, Alex Kulesza, Mehryar Mohri, Ananda Theertha Suresh

ICML 2021 Robust Testing and Estimation Under Manipulation Attacks Jayadev Acharya, Ziteng Sun, Huanyu Zhang

ICML 2020 Context Aware Local Differential Privacy Jayadev Acharya, Kallista Bonawitz, Peter Kairouz, Daniel Ramage, Ziteng Sun

COLT 2020 Domain Compression and Its Application to Randomness-Optimal Distributed Goodness-of-Fit Jayadev Acharya, Clément L Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi

ICML 2019 Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters Jayadev Acharya, Ziteng Sun

NeurIPS 2019 Estimating Entropy of Distributions in Constant Space Jayadev Acharya, Sourbh Bhadane, Piotr Indyk, Ziteng Sun

AISTATS 2019 Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication Jayadev Acharya, Ziteng Sun, Huanyu Zhang

NeurIPS 2018 Differentially Private Testing of Identity and Closeness of Discrete Distributions Jayadev Acharya, Ziteng Sun, Huanyu Zhang

ICML 2018 INSPECTRE: Privately Estimating the Unseen Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang