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Peter Bailis

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Break the Sequential Dependency of LLM Inference Using Lookahead Decoding

Feb 03, 2024
Yichao Fu, Peter Bailis, Ion Stoica, Hao Zhang

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Online Speculative Decoding

Oct 17, 2023
Xiaoxuan Liu, Lanxiang Hu, Peter Bailis, Ion Stoica, Zhijie Deng, Alvin Cheung, Hao Zhang

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Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates

Jul 28, 2021
Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia

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Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training

Feb 17, 2021
Kai Sheng Tai, Peter Bailis, Gregory Valiant

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Leveraging Organizational Resources to Adapt Models to New Data Modalities

Aug 23, 2020
Sahaana Suri, Raghuveer Chanda, Neslihan Bulut, Pradyumna Narayana, Yemao Zeng, Peter Bailis, Sugato Basu, Girija Narlikar, Christopher Re, Abishek Sethi

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Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics

Jul 25, 2020
Daniel Kang, Ankit Mathur, Teja Veeramacheneni, Peter Bailis, Matei Zaharia

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Similarity Search for Efficient Active Learning and Search of Rare Concepts

Jun 30, 2020
Cody Coleman, Edward Chou, Sean Culatana, Peter Bailis, Alexander C. Berg, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz

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Chromatic Learning for Sparse Datasets

Jun 06, 2020
Vladimir Feinberg, Peter Bailis

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