Yuhan Liu

15 papers A* 5A 1B 2Journal 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Pauli Measurements Are Near-Optimal for Single-Qubit Tomography.
CoRR
Jayadev Acharya, Abhilash Dharmavarapu, Yuhan Liu, Nengkun Yu
2025 A* conf
Pauli Measurements Are Not Optimal for Single-Copy Tomography.
STOC
Jayadev Acharya, Abhilash Dharmavarapu, Yuhan Liu, Nengkun Yu
2025 J jnl
Pauli measurements are not optimal for single-copy tomography.
CoRR
Jayadev Acharya, Abhilash Dharmavarapu, Yuhan Liu, Nengkun Yu
2024 J jnl
Quantum state testing with restricted measurements.
CoRR
Yuhan Liu, Jayadev Acharya
2024 A* conf
The role of randomness in quantum state certification with unentangled measurements.
COLT
Yuhan Liu, Jayadev Acharya
2023 A* conf
Algorithms for bounding contribution for histogram estimation under user-level privacy.
ICML
Yuhan Liu, Ananda Theertha Suresh, Wennan Zhu, Peter Kairouz, Marco Gruteser
2023 A conf
Discrete Distribution Estimation under User-level Local Differential Privacy.
AISTATS
Jayadev Acharya, Yuhan Liu, Ziteng Sun
2022 J jnl
Histogram Estimation under User-level Privacy with Heterogeneous Data.
CoRR
Yuhan Liu, Ananda Theertha Suresh, Wennan Zhu, Peter Kairouz, Marco Gruteser
2022 J jnl
Interactive Inference Under Information Constraints.
IEEE Trans. Inf. Theory
Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi
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 B conf
Interactive Inference under Information Constraints.
ISIT
Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi
2020 J jnl
Interactive Inference under Information Constraints.
CoRR
Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi
2020 A* conf
Learning discrete distributions: user vs item-level privacy.
NeurIPS
Yuhan Liu, Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar, Michael Riley
2020 J jnl
Learning discrete distributions: user vs item-level privacy.
CoRR
Yuhan Liu, Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar, Michael Riley