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Yuhan Liu 0007
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2020 – today
- 2025
[c8]Jayadev Acharya
, Abhilash Dharmavarapu
, Yuhan Liu
, Nengkun Yu
:
Pauli Measurements Are Not Optimal for Single-Copy Tomography. STOC 2025: 718-729
[i6]Jayadev Acharya, Abhilash Dharmavarapu, Yuhan Liu
, Nengkun Yu:
Pauli measurements are not optimal for single-copy tomography. CoRR abs/2502.18170 (2025)
[i5]Jayadev Acharya, Abhilash Dharmavarapu, Yuhan Liu, Nengkun Yu:
Pauli Measurements Are Near-Optimal for Single-Qubit Tomography. CoRR abs/2507.22001 (2025)- 2024
[c7]Yuhan Liu
, Jayadev Acharya:
The role of randomness in quantum state certification with unentangled measurements. COLT 2024: 3523-3555
[i4]Yuhan Liu
, Jayadev Acharya:
Quantum state testing with restricted measurements. CoRR abs/2408.17439 (2024)- 2023
[c6]Jayadev Acharya, Yuhan Liu
, Ziteng Sun:
Discrete Distribution Estimation under User-level Local Differential Privacy. AISTATS 2023: 8561-8585
[c5]Yuhan Liu
, Ananda Theertha Suresh, Wennan Zhu, Peter Kairouz, Marco Gruteser:
Algorithms for bounding contribution for histogram estimation under user-level privacy. ICML 2023: 21969-21996- 2022
[j1]Jayadev Acharya
, Clément L. Canonne
, Yuhan Liu
, Ziteng Sun, Himanshu Tyagi
:
Interactive Inference Under Information Constraints. IEEE Trans. Inf. Theory 68(1): 502-516 (2022)
[i3]Yuhan Liu, Ananda Theertha Suresh, Wennan Zhu, Peter Kairouz, Marco Gruteser:
Histogram Estimation under User-level Privacy with Heterogeneous Data. CoRR abs/2206.03008 (2022)- 2021
[c4]Jayadev Acharya, Peter Kairouz, Yuhan Liu
, Ziteng Sun:
Estimating Sparse Discrete Distributions Under Privacy and Communication Constraints. ALT 2021: 79-98
[c3]Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi:
Interactive Inference under Information Constraints. ISIT 2021: 326-331
[c2]Jayadev Acharya, Clément L. Canonne, Yuhan Liu
, Ziteng Sun, Himanshu Tyagi:
Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition. NeurIPS 2021: 18920-18931- 2020
[c1]Yuhan Liu
, Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar, Michael Riley:
Learning discrete distributions: user vs item-level privacy. NeurIPS 2020
[i2]Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi:
Interactive Inference under Information Constraints. CoRR abs/2007.10976 (2020)
[i1]Yuhan Liu, Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar, Michael Riley:
Learning discrete distributions: user vs item-level privacy. CoRR abs/2007.13660 (2020)
Coauthor Index

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