PB
Peter Bailis
cs.DBcs.LGstat.MLcs.AIcs.CLcs.CVcs.DCcs.DScs.PFDiagnosis, Computer-Assisted
On Valency
published · living versionsW_twun7uez·v1 · currentpublished
The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox
with Daniel Crankshaw, Joseph E. Gonzalez, Haoyuan Li, Zhao Zhang +3
1 version
Preprints & journals
42 papers in the corpus · 2012–2026AI-Driven Research for Databases2604.06566v1 · Audrey Cheng, Harald Ng, Aaron Kabcenell et al.2026 · 0 citationsarXiv
Optimizing Model Selection for Compound AI Systems2502.14815v1 · Lingjiao Chen, Jared Quincy Davis, Boris Hanin et al.2025 · 0 citationsarXiv
Online Speculative Decoding2310.07177v4 · Xiaoxuan Liu, Lanxiang Hu, Peter Bailis et al.2023 · 3 citationsarXiv
Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems2403.02419v2 · Lingjiao Chen, Jared Quincy Davis, Boris Hanin et al.2024 · 5 citationsarXiv
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding2402.02057v1 · Yichao Fu, Peter Bailis, Ion Stoica et al.2024 · 3 citationsarXiv
Apiary: A DBMS-Integrated Transactional Function-as-a-Service Framework2208.13068v2 · Peter Kraft, Qian Li, Kostis Kaffes et al.2022 · 4 citationsarXiv
An End-to-End Earthquake Detection Method for Joint Phase Picking and Association using Deep Learning2109.09911v1 · Weiqiang Zhu, Kai Sheng Tai, S. Mostafa Mousavi et al.2021 · 87 citationsarXiv
Finding Label and Model Errors in Perception Data With Learned Observation Assertions2201.05797v1 · Daniel Kang, Nikos Arechiga, Sudeep Pillai et al.2022 · 12 citationsSIGMOD 2022
Semantic Indexes for Machine Learning-based Queries over Unstructured Data2009.04540v2 · Daniel Kang, John Guibas, Peter Bailis et al.2020 · 1 citationSIGMOD 2022
Approximate Selection with Guarantees using Proxies2004.00827v4 · Daniel Kang, Edward Gan, Peter Bailis et al.2020 · 29 citationsPVLDB 2020
Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates2107.12525v2 · Daniel Kang, John Guibas, Peter Bailis et al.2021 · 0 citationsarXiv
Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death.33167779 · Rogers, Albert J, Selvalingam, Anojan, Alhusseini, Mahmood I et al.2021 · 54 citationsCirculation research. 2021;128(2):172-184
Similarity Search for Efficient Active Learning and Search of Rare Concepts2007.00077v2 · Cody Coleman, Edward Chou, Julian Katz-Samuels et al.2020 · 24 citationsarXiv
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training2102.08622v2 · Kai Sheng Tai, Peter Bailis, Gregory Valiant2021 · 13 citationsarXiv
Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation: Machine Learning of Atrial Fibrillation.32631100 · Alhusseini, Mahmood I, Abuzaid, Firas, Rogers, Albert J et al.2020 · 76 citationsCirculation. Arrhythmia and electrophysiology. 2020;13(8):e008160
Selection via Proxy: Efficient Data Selection for Deep Learning1906.11829v4 · Cody Coleman, Christopher Yeh, Stephen Mussmann et al.2019 · 93 citationsarXiv
Approximate Partition Selection for Big-Data Workloads using Summary Statistics2008.10569v1 · Kexin Rong, Yao Lu, Peter Bailis et al.2020 · 6 citationsarXiv
Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics2007.13005v1 · Daniel Kang, Ankit Mathur, Teja Veeramacheneni et al.2020 · 42 citationsarXiv
Chromatic Learning for Sparse Datasets2006.03779v1 · Vladimir Feinberg, Peter Bailis2020 · 0 citationsarXiv
Model Assertions for Monitoring and Improving ML Models2003.01668v3 · Daniel Kang, Deepti Raghavan, Peter Bailis et al.2020 · 17 citationsMLSys 2020
Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference1906.01974v3 · Peter Kraft, Daniel Kang, Deepak Narayanan et al.2019 · 8 citationsProceedings of Machine Learning and Systems 2020, 147-159
MLPerf Training Benchmark1910.01500v3 · Peter Mattson, Christine Cheng, Cody Coleman et al.2019 · 170 citationsarXiv
Storyboard: Optimizing Precomputed Summaries for Aggregation2002.03063v1 · Edward Gan, Peter Bailis, Moses Charikar2020 · 0 citationsarXiv
BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics1805.01046v2 · Daniel Kang, Peter Bailis, Matei Zaharia2018 · 28 citationsPVLDB 2020
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark1806.01427v2 · Cody Coleman, Daniel Kang, Deepak Narayanan et al.2018 · 107 citationsarXiv
MLSys: The New Frontier of Machine Learning Systems1904.03257v3 · Alexander Ratner, Dan Alistarh, Gustavo Alonso et al.2019 · 20 citationsarXivon Valency
Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data1706.08146v3 · Vatsal Sharan, Kai Sheng Tai, Peter Bailis et al.2017 · 1 citationarXiv
Equivariant Transformer Networks1901.11399v2 · Kai Sheng Tai, Peter Bailis, Gregory Valiant2019 · 41 citationsarXiv
CrossTrainer: Practical Domain Adaptation with Loss Reweighting1905.02304v1 · Justin Chen, Edward Gan, Kexin Rong et al.2019 · 1 citationarXiv
To Index or Not to Index: Optimizing Exact Maximum Inner Product Search1706.01449v3 · Firas Abuzaid, Geet Sethi, Peter Bailis et al.2017 · 23 citationsarXiv
LIT: Block-wise Intermediate Representation Training for Model Compression1810.01937v1 · Animesh Koratana, Daniel Kang, Peter Bailis et al.2018 · 13 citationsarXiv
Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science1803.09835v2 · Kexin Rong, Clara E. Yoon, Karianne J. Bergen et al.2018 · 4 citationsarXiv
Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries1803.01969v2 · Edward Gan, Jialin Ding, Kai Sheng Tai et al.2018 · 57 citationsarXiv
Sketching Linear Classifiers over Data Streams1711.02305v2 · Kai Sheng Tai, Vatsal Sharan, Peter Bailis et al.2017 · 42 citationsarXiv
NoScope: Optimizing Neural Network Queries over Video at Scale1703.02529v3 · Daniel Kang, John Emmons, Firas Abuzaid et al.2017 · 46 citationsarXiv
Infrastructure for Usable Machine Learning: The Stanford DAWN Project1705.07538v2 · Peter Bailis, Kunle Olukotun, Christopher Re et al.2017 · 16 citationsarXiv
MacroBase: Prioritizing Attention in Fast Data1603.00567v4 · Peter Bailis, Edward Gan, Samuel Madden et al.2016 · 9 citationsarXiv
Asynchronous Complex Analytics in a Distributed Dataflow Architecture1510.07092v1 · Joseph E. Gonzalez, Peter Bailis, Michael I. Jordan et al.2015 · 10 citationsarXiv
The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox1409.3809v2 · Daniel Crankshaw, Peter Bailis, Joseph E. Gonzalez et al.2014 · 85 citationsarXivon Valency
Coordination Avoidance in Database Systems (Extended Version)1402.2237v4 · Peter Bailis, Alan Fekete, Michael J. Franklin et al.2014 · 3 citationsarXiv
Highly Available Transactions: Virtues and Limitations (Extended Version)1302.0309v2 · Peter Bailis, Aaron Davidson, Alan Fekete et al.2013 · 10 citationsarXiv
Probabilistically Bounded Staleness for Practical Partial Quorums1204.6082v1 · Peter Bailis, Shivaram Venkataraman, Michael J. Franklin et al.2012 · 195 citationsProceedings of the VLDB Endowment (PVLDB), Vol. 5, No. 8, pp. 776-787 (2012)
Career total: 149 works. 42 are in this corpus.
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