Ziteng Sun
24 papers · 2018–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (25) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π€
Dynamic Duo
(15)
π¬
Deep Specialist
(12)
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(99)
Top co-authors
Research topics
Machine Learning
(24)
Optimization & Theory
(19)
Mathematics & Optimization
(16)
Application Areas
(14)
Optimization
(9)
Mathematics
(8)
Artificial Intelligence
(3)
Security & Privacy
(3)
Core AI
(3)
Differential Privacy
(3)
Statistics
(3)
Data Science & Analytics
(2)
Methods
(2)
Computer Science
(1)
Natural Language Processing
(1)
Keywords
differential privacy
(9)
local differential privacy
(7)
distribution estimation
(7)
sample complexity
(6)
communication constraint
(5)
mean estimation
(3)
user-level privacy
(3)
discrete distribution
(3)
large language model
(2)
sparse estimation
(2)
hadamard response
(2)
speculative decoding
(2)
distributed estimation
(2)
statistical learning theory
(2)
stochastic convex optimization
(2)
statistical estimation
(2)
entropy estimation
(2)
local privacy
(2)
distribution testing
(2)
interactive protocol
(2)
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
Discrete Distribution Estimation under User-level Local Differential Privacy
AISTATS 2023
Federated Heavy Hitter Recovery under Linear Sketching
ICML 2023
Sample Complexity of Distinguishing Cause from Effect
AISTATS 2023
SpecTr: Fast Speculative Decoding via Optimal Transport
NeurIPS 2023
Subset-Based Instance Optimality in Private Estimation
ICML 2023
Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints
NeurIPS 2023
User-level Private Stochastic Convex Optimization with Optimal Rates
ICML 2023
Correlated Quantization for Distributed Mean Estimation and Optimization
ICML 2022
The Role of Interactivity in Structured Estimation
COLT 2022
Differentially Private Assouad, Fano, and Le Cam
ALT 2021
Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition
NeurIPS 2021
Estimating Sparse Discrete Distributions Under Privacy and Communication Constraints
ALT 2021
Learning with User-Level Privacy
NeurIPS 2021
Robust Testing and Estimation under Manipulation Attacks
ICML 2021
Context Aware Local Differential Privacy
ICML 2020
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit
COLT 2020
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters
ICML 2019
Estimating Entropy of Distributions in Constant Space
NeurIPS 2019
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication
AISTATS 2019
Differentially Private Testing of Identity and Closeness of Discrete Distributions
NeurIPS 2018
INSPECTRE: Privately Estimating the Unseen
ICML 2018