Peng, Tianyi

11 publications

ICLRW 2025 ADSO: Adaptive Data Mixture & Scale Optimization. a Multi-Scale Multi-Fidelity Bayesian Optimization Approach. Andrew Wei Tung Siah, Haozhe Chen, C. Daniel Guetta, Tianyi Peng, Hongseok Namkoong, Tzu-Ching Yen

NeurIPS 2025 Data Mixture Optimization: A Multi-Fidelity Multi-Scale Bayesian Framework Thomson Yen, Andrew Wei Tung Siah, Haozhe Chen, C. Daniel Guetta, Tianyi Peng, Hongseok Namkoong

NeurIPS 2025 LLM Generated Persona Is a Promise with a Catch Ang Li, Haozhe Chen, Hongseok Namkoong, Tianyi Peng

NeurIPS 2025 Multi-Agent Markov Entanglement Shuze Chen, Tianyi Peng

ICML 2025 Speeding up Policy Simulation in Supply Chain RL Vivek Farias, Joren Gijsbrechts, Aryan I. Khojandi, Tianyi Peng, Andrew Zheng

NeurIPS 2025 Tail-Optimized Caching for LLM Inference Wenxin Zhang, Yueying Li, Ciamac C. Moallemi, Tianyi Peng

NeurIPS 2024 QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers Haozhe Chen, Ang Li, Ethan Che, Tianyi Peng, Jing Dong, Hongseok Namkoong

AISTATS 2022 Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise Vivek Farias, Andrew A. Li, Tianyi Peng

NeurIPS 2022 Markovian Interference in Experiments Vivek Farias, Andrew Li, Tianyi Peng, Andrew Zheng

NeurIPS 2021 Learning Treatment Effects in Panels with General Intervention Patterns Vivek Farias, Andrew Li, Tianyi Peng

ICML 2021 Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise Vivek Farias, Andrew A Li, Tianyi Peng