Ziteng Sun - RankMe

64 papers A* 19A 3B 6Journal 35Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Block Verification Accelerates Speculative Decoding. ICLR Ziteng Sun, Uri Mendlovic, Yaniv Leviathan, Asaf Aharoni, Jae Hun Ro, Ahmad Beirami, Ananda Theertha Suresh
2025	J	`jnl`	CafeQ: Calibration-free Quantization via Learned Transformations and Adaptive Rounding. CoRR Ziteng Sun, Adrian Benton, Samuel Kushnir, Asher Trockman, Vikas Singh, Suhas N. Diggavi, Ananda Theertha Suresh
2025	A*	`conf`	InfAlign: Inference-aware language model alignment. ICML 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
2025	J	`jnl`	SPECS: Faster Test-Time Scaling through Speculative Drafts. CoRR Mert Cemri, Nived Rajaraman, Rishabh Tiwari, Xiaoxuan Liu, Kurt Keutzer, Ion Stoica, Kannan Ramchandran, Ahmad Beirami, Ziteng Sun
2024	B	`conf`	Asymptotics of Language Model Alignment. ISIT Joy Qiping Yang, Salman Salamatian, Ziteng Sun, Ananda Theertha Suresh, Ahmad Beirami
2024	J	`jnl`	Asymptotics of Language Model Alignment. CoRR Joy Qiping Yang, Salman Salamatian, Ziteng Sun, Ananda Theertha Suresh, Ahmad Beirami
2024	J	`jnl`	InfAlign: Inference-aware language model alignment. CoRR 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	J	`jnl`	Optimal Block-Level Draft Verification for Accelerating Speculative Decoding. CoRR Ziteng Sun, Jae Hun Ro, Ahmad Beirami, Ananda Theertha Suresh
2024	J	`jnl`	Private federated discovery of out-of-vocabulary words for Gboard. CoRR Ziteng Sun, Peter Kairouz, Haicheng Sun, Adrià Gascón, Ananda Theertha Suresh
2024	A*	`conf`	The importance of feature preprocessing for differentially private linear optimization. ICLR Ziteng Sun, Ananda Theertha Suresh, Aditya Krishna Menon
2023	B	`conf`	Concentration Bounds for Discrete Distribution Estimation in KL Divergence. ISIT Clément L. Canonne, Ziteng Sun, Ananda Theertha Suresh
2023	J	`jnl`	Concentration Bounds for Discrete Distribution Estimation in KL Divergence. CoRR Clément L. Canonne, Ziteng Sun, Ananda Theertha Suresh
2023	A	`conf`	Discrete Distribution Estimation under User-level Local Differential Privacy. AISTATS Jayadev Acharya, Yuhan Liu, Ziteng Sun
2023	A*	`conf`	Federated Heavy Hitter Recovery under Linear Sketching. ICML Adrià Gascón, Peter Kairouz, Ziteng Sun, Ananda Theertha Suresh
2023	J	`jnl`	Federated Heavy Hitter Recovery under Linear Sketching. CoRR Adrià Gascón, Peter Kairouz, Ziteng Sun, Ananda Theertha Suresh
2023	A	`conf`	Sample Complexity of Distinguishing Cause from Effect. AISTATS Jayadev Acharya, Sourbh Bhadane, Arnab Bhattacharyya, Saravanan Kandasamy, Ziteng Sun
2023	A*	`conf`	SpecTr: Fast Speculative Decoding via Optimal Transport. NeurIPS Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix X. Yu
2023	J	`jnl`	SpecTr: Fast Speculative Decoding via Optimal Transport. CoRR Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix X. Yu
2023	A*	`conf`	Subset-Based Instance Optimality in Private Estimation. ICML Travis Dick, Alex Kulesza, Ziteng Sun, Ananda Theertha Suresh
2023	J	`jnl`	Subset-Based Instance Optimality in Private Estimation. CoRR Travis Dick, Alex Kulesza, Ziteng Sun, Ananda Theertha Suresh
2023	J	`jnl`	The importance of feature preprocessing for differentially private linear optimization. CoRR Ziteng Sun, Ananda Theertha Suresh, Aditya Krishna Menon
2023	A*	`conf`	Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints. NeurIPS Jayadev Acharya, Clément L. Canonne, Ziteng Sun, Himanshu Tyagi
2023	A*	`conf`	User-level Private Stochastic Convex Optimization with Optimal Rates. ICML Raef Bassily, Ziteng Sun
2022	A*	`conf`	Correlated Quantization for Distributed Mean Estimation and Optimization. ICML Ananda Theertha Suresh, Ziteng Sun, Jae Ro, Felix X. Yu
2022	J	`jnl`	Correlated quantization for distributed mean estimation and optimization. CoRR Ananda Theertha Suresh, Ziteng Sun, Jae Hun Ro, Felix X. Yu
2022	J	`jnl`	Discrete Distribution Estimation under User-level Local Differential Privacy. CoRR Jayadev Acharya, Yuhan Liu, Ziteng Sun
2022	J	`jnl`	Interactive Inference Under Information Constraints. IEEE Trans. Inf. Theory Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi
2022	A*	`conf`	The Role of Interactivity in Structured Estimation. COLT Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi, Ziteng Sun
2022	J	`jnl`	The Role of Interactivity in Structured Estimation. CoRR Jayadev Acharya, Clément L. Canonne, Ziteng Sun, Himanshu Tyagi
2021	J	`jnl`	Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 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
2021	B	`conf`	Differentially Private Assouad, Fano, and Le Cam. ALT Jayadev Acharya, Ziteng Sun, Huanyu Zhang
2021	A*	`conf`	Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition. NeurIPS Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi
2021	B	`conf`	Estimating Sparse Discrete Distributions Under Privacy and Communication Constraints. ALT Jayadev Acharya, Peter Kairouz, Yuhan Liu, Ziteng Sun
2021	J	`jnl`	Inference Under Information Constraints III: Local Privacy Constraints. IEEE J. Sel. Areas Inf. Theory Jayadev Acharya, Clément L. Canonne, Cody Freitag, Ziteng Sun, Himanshu Tyagi
2021	J	`jnl`	Inference under Information Constraints III: Local Privacy Constraints. CoRR Jayadev Acharya, Clément L. Canonne, Cody Freitag, Ziteng Sun, Himanshu Tyagi
2021	B	`conf`	Interactive Inference under Information Constraints. ISIT Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi
2021	A*	`conf`	Learning with User-Level Privacy. NeurIPS Daniel Levy, Ziteng Sun, Kareem Amin, Satyen Kale, Alex Kulesza, Mehryar Mohri, Ananda Theertha Suresh
2021	J	`jnl`	Learning with User-Level Privacy. CoRR Daniel Levy, Ziteng Sun, Kareem Amin, Satyen Kale, Alex Kulesza, Mehryar Mohri, Ananda Theertha Suresh
2021	A*	`conf`	Robust Testing and Estimation under Manipulation Attacks. ICML Jayadev Acharya, Ziteng Sun, Huanyu Zhang
2021	J	`jnl`	Robust Testing and Estimation under Manipulation Attacks. CoRR Jayadev Acharya, Ziteng Sun, Huanyu Zhang
2020	A*	`conf`	Context Aware Local Differential Privacy. ICML Jayadev Acharya, Kallista A. Bonawitz, Peter Kairouz, Daniel Ramage, Ziteng Sun
2020	J	`jnl`	Differentially Private Assouad, Fano, and Le Cam. CoRR Jayadev Acharya, Ziteng Sun, Huanyu Zhang
2020	A*	`conf`	Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. COLT Jayadev Acharya, Clément L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi
2020	J	`jnl`	Estimating Sparse Discrete Distributions Under Local Privacy and Communication Constraints. CoRR Jayadev Acharya, Yuhan Liu, Ziteng Sun
2020	J	`jnl`	INSPECTRE: Privately Estimating the Unseen. J. Priv. Confidentiality Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang
2020	J	`jnl`	Interactive Inference under Information Constraints. CoRR Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi
2020	J	`jnl`	Unified lower bounds for interactive high-dimensional estimation under information constraints. CoRR Jayadev Acharya, Clément L. Canonne, Ziteng Sun, Himanshu Tyagi
2019	J	`jnl`	Advances and Open Problems in Federated Learning. CoRR 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, 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, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, 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
2019	J	`jnl`	Can You Really Backdoor Federated Learning? CoRR Ziteng Sun, Peter Kairouz, Ananda Theertha Suresh, H. Brendan McMahan
2019	A*	`conf`	Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters. ICML Jayadev Acharya, Ziteng Sun
2019	J	`jnl`	Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters. CoRR Jayadev Acharya, Ziteng Sun
2019	J	`jnl`	Context-Aware Local Differential Privacy. CoRR Jayadev Acharya, Kallista A. Bonawitz, Peter Kairouz, Daniel Ramage, Ziteng Sun
2019	J	`jnl`	Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. CoRR Jayadev Acharya, Clément L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi
2019	J	`jnl`	Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. Electron. Colloquium Comput. Complex. Jayadev Acharya, Clément L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi
2019	A*	`conf`	Estimating Entropy of Distributions in Constant Space. NeurIPS Jayadev Acharya, Sourbh Bhadane, Piotr Indyk, Ziteng Sun
2019	J	`jnl`	Estimating Entropy of Distributions in Constant Space. CoRR Jayadev Acharya, Sourbh Bhadane, Piotr Indyk, Ziteng Sun
2019	A	`conf`	Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication. AISTATS Jayadev Acharya, Ziteng Sun, Huanyu Zhang
2018	J	`jnl`	Communication Efficient, Sample Optimal, Linear Time Locally Private Discrete Distribution Estimation. CoRR Jayadev Acharya, Ziteng Sun, Huanyu Zhang
2018	A*	`conf`	Differentially Private Testing of Identity and Closeness of Discrete Distributions. NeurIPS Jayadev Acharya, Ziteng Sun, Huanyu Zhang
2018	A*	`conf`	INSPECTRE: Privately Estimating the Unseen. ICML Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang
2018	J	`jnl`	INSPECTRE: Privately Estimating the Unseen. CoRR Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang
2018	B	`conf`	Improved Bounds for Minimax Risk of Estimating Missing Mass. ISIT Jayadev Acharya, Yelun Bao, Yuheng Kang, Ziteng Sun
2017	J	`jnl`	Differentially Private Testing of Identity and Closeness of Discrete Distributions. CoRR Jayadev Acharya, Ziteng Sun, Huanyu Zhang
2016	—	`conf`	Optimal Byzantine Attack and Byzantine Identification in Distributed Sensor Networks. GLOBECOM Workshops Ziteng Sun, Chuang Zhang, Pingyi Fan