Ziteng Sun
24 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (7)
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Keyword Pioneer
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Hot Topic Early Bird
π
Cross-Pollinator
(8)
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Dynamic Duo
(15)
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Keyword Champion
(3)
π¬
Deep Specialist
(11)
π
Century Club
(24)
π
Trend Setter
ποΈ
Keyword Collector
(82)
β‘
Prolific Year
(7)
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Unstoppable
(8)
Conferences
ICML (9)
NIPS (6)
AISTATS (3)
ALT (2)
COLT (2)
ICLR (2)
Top co-authors
Research topics
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