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Tianyi Peng
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2020 – today
- 2024
- [j4]Vivek F. Farias, Andrew A. Li, Tianyi Peng
:
Fixing Inventory Inaccuracies at Scale. Manuf. Serv. Oper. Manag. 26(3): 1102-1118 (2024) - [i9]Vivek F. Farias, Joren Gijsbrechts, Aryan I. Khojandi, Tianyi Peng, Andrew Zheng:
Speeding up Policy Simulation in Supply Chain RL. CoRR abs/2406.01939 (2024) - [i8]Haozhe Chen, Ang Li, Ethan Che, Tianyi Peng, Jing Dong, Hongseok Namkoong:
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers. CoRR abs/2410.06170 (2024) - 2023
- [j3]Luis Costa, Vivek F. Farias, Patricio Foncea, Jingyuan (Donna) Gan, Ayush Garg, Ivo Rosa Montenegro, Kumarjit Pathak
Generalized Synthetic Control for TestOps at ABI: Models, Algorithms, and Infrastructure. INFORMS J. Appl. Anal. 53(5): 336-349 (2023) - [c11]Vivek F. Farias
Correcting for Interference in Experiments: A Case Study at Douyin. RecSys 2023: 455-466 - [i7]Vivek F. Farias, Hao Li, Tianyi Peng, Xinyuyang Ren, Huawei Zhang, Andrew Zheng:
Correcting for Interference in Experiments: A Case Study at Douyin. CoRR abs/2305.02542 (2023) - 2022
- [c10]Vivek F. Farias, Andrew A. Li, Tianyi Peng:
Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise. AISTATS 2022: 1179-1189 - [c9]Vivek F. Farias, Andrew A. Li, Tianyi Peng, Andrew Zheng:
Markovian Interference in Experiments. NeurIPS 2022 - [i6]Vivek F. Farias, Ciamac Moallemi, Tianyi Peng, Andrew Zheng:
Synthetically Controlled Bandits. CoRR abs/2202.07079 (2022) - [i5]Vivek F. Farias, Andrew A. Li, Tianyi Peng, Andrew Zheng:
Markovian Interference in Experiments. CoRR abs/2206.02371 (2022) - 2021
- [c8]Vivek F. Farias, Andrew A. Li, Tianyi Peng:
Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise. ICML 2021: 3154-3163 - [c7]Vivek F. Farias, Andrew A. Li, Tianyi Peng:
Learning Treatment Effects in Panels with General Intervention Patterns. NeurIPS 2021: 14001-14013 - [c6]Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng:
The Limits to Learning a Diffusion Model. EC 2021: 130-131 - [i4]Vivek F. Farias, Andrew A. Li, Tianyi Peng:
Learning Treatment Effects in Panels with General Intervention Patterns. CoRR abs/2106.02780 (2021) - [i3]Vivek F. Farias, Andrew A. Li, Tianyi Peng:
Uncertainty Quantification For Low-Rank Matrix Completion With Heterogeneous and Sub-Exponential Noise. CoRR abs/2110.12046 (2021) - 2020
- [j2]Wenhan Dai
Optimal Remote Entanglement Distribution. IEEE J. Sel. Areas Commun. 38(3): 540-556 (2020) - [j1]Wenhan Dai
Quantum Queuing Delay. IEEE J. Sel. Areas Commun. 38(3): 605-618 (2020) - [c5]Siyu Wang, Xin Wang, Tianyi Peng, Jiaxi Zhou, Qi Qin, Xijun Wang:
Closed-form Analysis of Age of Information in Energy Harvesting Network. ICCC 2020: 875-880 - [c4]Wenhan Dai, Tianyi Peng, Moe Z. Win:
Optimal Protocols for Remote Entanglement Distribution. ICNC 2020: 1014-1019 - [c3]Wenhan Dai, Tianyi Peng, Moe Z. Win:
Queuing Delay for Quantum Networks. ICNC 2020: 1020-1025 - [i2]Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng:
The Limits to Learning an SIR Process: Granular Forecasting for Covid-19. CoRR abs/2006.06373 (2020) - [i1]Vivek F. Farias, Andrew A. Li, Tianyi Peng:
Solving the Phantom Inventory Problem: Near-optimal Entry-wise Anomaly Detection. CoRR abs/2006.13126 (2020)
2010 – 2019
- 2019
- [c2]Wenhan Dai, Tianyi Peng, Moe Z. Win:
Remote State Preparation for Multiple Parties. ICASSP 2019: 7983-7987 - [c1]Tianyi Peng, Wenhan Dai, Moe Z. Win:
Efficient and Robust Physical Layer Key Generation. MILCOM 2019: 1-6
Coauthor Index
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