Ziteng Sun

24 papers · 2018–2025 · 6 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (6) 🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (6) 🗺️ Taxonomy Completionist (24) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (8) 🤝 Dynamic Duo (15) 🏆 Keyword Champion (3) 🔬 Deep Specialist (11) 💎 Century Club (24) 📈 Trend Setter 🗃️ Keyword Collector (82) ⚡ Prolific Year (7) 🔥 Unstoppable (8)

Conferences

ICML (9) NIPS (6) AISTATS (3) ALT (2) COLT (2) ICLR (2)

Top co-authors

Jayadev Acharya (15) Ananda Theertha Suresh (8) Huanyu Zhang (5) Himanshu Tyagi (4) Yuhan Liu (3) Peter Kairouz (3) Ahmad Beirami (3) Felix Yu (2) Sourbh Bhadane (2) Clément L Canonne (2)

Research topics

Differential Privacy (3) Statistics (3)

Keywords

differential privacy (8) local differential privacy (7) distribution estimation (7) sample complexity (6) communication constraint (5) user-level privacy (3) discrete distribution (3) mean estimation (3) statistical learning theory (2) sparse estimation (2) statistical estimation (2) distributed estimation (2) stochastic convex optimization (2) entropy estimation (2) hadamard response (2) distribution testing (2) causal structure learning (1) communication complexity (1) compressive sensing (1) optimal transport (1)

Papers

Block Verification Accelerates Speculative Decoding ICLR 2025

InfAlign: Inference-aware language model alignment ICML 2025

The importance of feature preprocessing for differentially private linear optimization ICLR 2024

Subset-Based Instance Optimality in Private Estimation ICML 2023

SpecTr: Fast Speculative Decoding via Optimal Transport NIPS 2023

Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints NIPS 2023

User-level Private Stochastic Convex Optimization with Optimal Rates ICML 2023

Discrete Distribution Estimation under User-level Local Differential Privacy AISTATS 2023

Sample Complexity of Distinguishing Cause from Effect AISTATS 2023

Federated Heavy Hitter Recovery under Linear Sketching ICML 2023

The Role of Interactivity in Structured Estimation COLT 2022

Correlated Quantization for Distributed Mean Estimation and Optimization ICML 2022

Estimating Sparse Discrete Distributions Under Privacy and Communication Constraints ALT 2021

Robust Testing and Estimation under Manipulation Attacks ICML 2021

Differentially Private Assouad, Fano, and Le Cam ALT 2021

Learning with User-Level Privacy NIPS 2021

Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition NIPS 2021

Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit COLT 2020

Context Aware Local Differential Privacy ICML 2020

Estimating Entropy of Distributions in Constant Space NIPS 2019

Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication AISTATS 2019

Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters ICML 2019

INSPECTRE: Privately Estimating the Unseen ICML 2018

Differentially Private Testing of Identity and Closeness of Discrete Distributions NIPS 2018