Chen, Tianqi

21 publications

ICLR 2025 APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Xinyu Yang, Tianqi Chen, Beidi Chen

ICLR 2025 MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding Ranajoy Sadhukhan, Jian Chen, Zhuoming Chen, Vashisth Tiwari, Ruihang Lai, Jinyuan Shi, Ian En-Hsu Yen, Avner May, Tianqi Chen, Beidi Chen

NeurIPS 2025 Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation Xinyu Yang, Yuwei An, Hongyi Liu, Tianqi Chen, Beidi Chen

ICLR 2025 Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models Tianqi Chen, Shujian Zhang, Mingyuan Zhou

ICML 2024 A Dense Reward View on Aligning Text-to-Image Diffusion with Preference Shentao Yang, Tianqi Chen, Mingyuan Zhou

NeurIPSW 2024 APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Xinyu Yang, Tianqi Chen, Beidi Chen

NeurIPS 2023 Beta Diffusion Mingyuan Zhou, Tianqi Chen, Zhendong Wang, Huangjie Zheng

ICML 2023 ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines Siyuan Chen, Pratik Pramod Fegade, Tianqi Chen, Phillip Gibbons, Todd Mowry

ICML 2023 Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling Tianqi Chen, Mingyuan Zhou

NeurIPS 2023 Towards Efficient and Accurate Winograd Convolution via Full Quantization Tianqi Chen, Weixiang Xu, Weihan Chen, Peisong Wang, Jian Cheng

NeurIPSW 2023 Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Models Deqing Fu, Tianqi Chen, Robin Jia, Vatsal Sharan

NeurIPS 2022 Tensor Program Optimization with Probabilistic Programs Junru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai, Hongyi Jin, Wuwei Lin, Masahiro Masuda, Cody Hao Yu, Tianqi Chen

ICLR 2021 Dynamic Tensor Rematerialization Marisa Kirisame, Steven Lyubomirsky, Altan Haan, Jennifer Brennan, Mike He, Jared Roesch, Tianqi Chen, Zachary Tatlock

NeurIPS 2018 Learning to Optimize Tensor Programs Tianqi Chen, Lianmin Zheng, Eddie Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

ICLR 2016 Net2Net: Accelerating Learning via Knowledge Transfer Tianqi Chen, Ian J. Goodfellow, Jonathon Shlens

NeurIPS 2015 A Complete Recipe for Stochastic Gradient MCMC Yi-An Ma, Tianqi Chen, Emily B. Fox

AISTATS 2015 Efficient Second-Order Gradient Boosting for Conditional Random Fields Tianqi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin

ICML 2014 Stochastic Gradient Hamiltonian Monte Carlo Tianqi Chen, Emily Fox, Carlos Guestrin

ICML 2013 General Functional Matrix Factorization Using Gradient Boosting Tianqi Chen, Hang Li, Qiang Yang, Yong Yu

ECML-PKDD 2012 Discriminative Factor Alignment Across Heterogeneous Feature Space Fangwei Hu, Tianqi Chen, Nathan Nan Liu, Qiang Yang, Yong Yu

MLOSS 2012 SVDFeature: A Toolkit for Feature-Based Collaborative Filtering Tianqi Chen, Weinan Zhang, Qiuxia Lu, Kailong Chen, Zhao Zheng, Yong Yu