Tianyi Peng

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Anomaly Detection

Matrix Completion

Rank Minimization

Top Venues

IEEE J. Sel. Areas Commun.

Publications

Vivek F. Farias, Joren Gijsbrechts, Aryan I. Khojandi, Tianyi Peng, Andrew Zheng
Speeding up Policy Simulation in Supply Chain RL. CoRR (2024)
Vivek F. Farias, Andrew A. Li, Tianyi Peng
Fixing Inventory Inaccuracies at Scale. Manuf. Serv. Oper. Manag. 26 (3) (2024)
Luis Costa, Vivek F. Farias, Patricio Foncea, Jingyuan (Donna) Gan, Ayush Garg, Ivo Rosa Montenegro, Kumarjit Pathak, Tianyi Peng, Dusan Popovic
Generalized Synthetic Control for TestOps at ABI: Models, Algorithms, and Infrastructure. INFORMS J. Appl. Anal. 53 (5) (2023)
Vivek F. Farias, Hao Li, Tianyi Peng, Xinyuyang Ren, Huawei Zhang, Andrew Zheng
Correcting for Interference in Experiments: A Case Study at Douyin. RecSys (2023)
Vivek F. Farias, Hao Li, Tianyi Peng, Xinyuyang Ren, Huawei Zhang, Andrew Zheng
Correcting for Interference in Experiments: A Case Study at Douyin. CoRR (2023)
Vivek F. Farias, Andrew A. Li, Tianyi Peng
Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise. AISTATS (2022)
Vivek F. Farias, Andrew A. Li, Tianyi Peng, Andrew Zheng
Markovian Interference in Experiments. CoRR (2022)
Vivek F. Farias, Andrew A. Li, Tianyi Peng, Andrew Zheng
Markovian Interference in Experiments. NeurIPS (2022)
Vivek F. Farias, Ciamac Moallemi, Tianyi Peng, Andrew Zheng
Synthetically Controlled Bandits. CoRR (2022)
Vivek F. Farias, Andrew A. Li, Tianyi Peng
Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise. ICML (2021)
Vivek F. Farias, Andrew A. Li, Tianyi Peng
Uncertainty Quantification For Low-Rank Matrix Completion With Heterogeneous and Sub-Exponential Noise. CoRR (2021)
Vivek F. Farias, Andrew A. Li, Tianyi Peng
Learning Treatment Effects in Panels with General Intervention Patterns. CoRR (2021)
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)
Vivek F. Farias, Andrew A. Li, Tianyi Peng
Learning Treatment Effects in Panels with General Intervention Patterns. NeurIPS (2021)
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 (2020)
Vivek F. Farias, Andrew A. Li, Tianyi Peng
Solving the Phantom Inventory Problem: Near-optimal Entry-wise Anomaly Detection. CoRR (2020)
Wenhan Dai, Tianyi Peng, Moe Z. Win
Queuing Delay for Quantum Networks. ICNC (2020)
Wenhan Dai, Tianyi Peng, Moe Z. Win
Quantum Queuing Delay. IEEE J. Sel. Areas Commun. 38 (3) (2020)
Wenhan Dai, Tianyi Peng, Moe Z. Win
Optimal Remote Entanglement Distribution. IEEE J. Sel. Areas Commun. 38 (3) (2020)
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)
Wenhan Dai, Tianyi Peng, Moe Z. Win
Optimal Protocols for Remote Entanglement Distribution. ICNC (2020)
Wenhan Dai, Tianyi Peng, Moe Z. Win
Remote State Preparation for Multiple Parties. ICASSP (2019)
Tianyi Peng, Wenhan Dai, Moe Z. Win
Efficient and Robust Physical Layer Key Generation. MILCOM (2019)