Peter Bailis

According to our database1, Peter Bailis authored at least 113 papers between 2010 and 2024.

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Bibliography

2024
Towards Optimal Transaction Scheduling.
Proc. VLDB Endow., July, 2024

Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design.
CoRR, 2024

Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems.
CoRR, 2024

Online Speculative Decoding.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Break the Sequential Dependency of LLM Inference Using Lookahead Decoding.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Epoxy: ACID Transactions Across Diverse Data Stores.
Proc. VLDB Endow., 2023

2022
TAOBench: An End-to-End Benchmark for Social Networking Workloads.
Proc. VLDB Endow., 2022

Parallelism-Optimizing Data Placement for Faster Data-Parallel Computations.
Proc. VLDB Endow., 2022

Apiary: A DBMS-Backed Transactional Function-as-a-Service Framework.
CoRR, 2022

TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Finding Label and Model Errors in Perception Data With Learned Observation Assertions.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Data-Parallel Actors: A Programming Model for Scalable Query Serving Systems.
Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

VIVA: An End-to-End System for Interactive Video Analytics.
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

Similarity Search for Efficient Active Learning and Search of Rare Concepts.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
DIFF: a relational interface for large-scale data explanation.
VLDB J., 2021

Accelerating Approximate Aggregation Queries with Expensive Predicates.
Proc. VLDB Endow., 2021

RAMP-TAO: Layering Atomic Transactions on Facebook's Online TAO Data Store.
Proc. VLDB Endow., 2021

Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates.
CoRR, 2021

Contracting Wide-area Network Topologies to Solve Flow Problems Quickly.
Proceedings of the 18th USENIX Symposium on Networked Systems Design and Implementation, 2021

Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training.
Proceedings of the 38th International Conference on Machine Learning, 2021

Challenges and Opportunities for Autonomous Vehicle Query Systems.
Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020
Leveraging Organizational Resources to Adapt Models to New Data Modalities.
Proc. VLDB Endow., 2020

Approximate Partition Selection for Big-Data Workloads using Summary Statistics.
Proc. VLDB Endow., 2020

A Demonstration of Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference.
Proc. VLDB Endow., 2020

Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics.
Proc. VLDB Endow., 2020

Approximate Selection with Guarantees using Proxies.
Proc. VLDB Endow., 2020

CoopStore: Optimizing Precomputed Summaries for Aggregation.
Proc. VLDB Endow., 2020

Winds from Seattle: Database Research Directions.
Proc. VLDB Endow., 2020

Task-agnostic Indexes for Deep Learning-based Queries over Unstructured Data.
CoRR, 2020

Similarity Search for Efficient Active Learning and Search of Rare Concepts.
CoRR, 2020

Chromatic Learning for Sparse Datasets.
CoRR, 2020

Storyboard: Optimizing Precomputed Summaries for Aggregation.
CoRR, 2020


Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference.
Proceedings of the Third Conference on Machine Learning and Systems, 2020

Model Assertions for Monitoring and Improving ML Models.
Proceedings of the Third Conference on Machine Learning and Systems, 2020

Selection via Proxy: Efficient Data Selection for Deep Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark.
ACM SIGOPS Oper. Syst. Rev., 2019

The Seattle Report on Database Research.
SIGMOD Rec., 2019

BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics.
Proc. VLDB Endow., 2019

MLPerf Training Benchmark.
CoRR, 2019

SysML: The New Frontier of Machine Learning Systems.
CoRR, 2019

DROP: A Workload-Aware Optimizer for Dimensionality Reduction.
Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning, 2019

CrossTrainer: Practical Domain Adaptation with Loss Reweighting.
Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning, 2019

Equivariant Transformer Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

Rehashing Kernel Evaluation in High Dimensions.
Proceedings of the 36th International Conference on Machine Learning, 2019

Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data.
Proceedings of the 36th International Conference on Machine Learning, 2019

LIT: Learned Intermediate Representation Training for Model Compression.
Proceedings of the 36th International Conference on Machine Learning, 2019

To Index or Not to Index: Optimizing Exact Maximum Inner Product Search.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine.
Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

2018
Multi-datacenter Consistency Properties.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

MacroBase: Prioritizing Attention in Fast Data.
ACM Trans. Database Syst., 2018

Locality-Sensitive Hashing for Earthquake Detection: A Case Study Scaling Data-Driven Science.
Proc. VLDB Endow., 2018

Filter Before You Parse: Faster Analytics on Raw Data with Sparser.
Proc. VLDB Endow., 2018

Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries.
Proc. VLDB Endow., 2018

DIFF: A Relational Interface for Large-Scale Data Explanation.
Proc. VLDB Endow., 2018

LIT: Block-wise Intermediate Representation Training for Model Compression.
CoRR, 2018

BlazeIt: Fast Exploratory Video Queries using Neural Networks.
CoRR, 2018

Research for practice: toward a network of connected things.
Commun. ACM, 2018

Research for practice: cluster scheduling for datacenters.
Commun. ACM, 2018

Research for practice: knowledge base construction in the machine-learning era.
Commun. ACM, 2018

Research for practice: private online communication; highlights in systems verification.
Commun. ACM, 2018

Research for practice: prediction-serving systems.
Commun. ACM, 2018

Research for practice: FPGAs in datacenters.
Commun. ACM, 2018

Sketching Linear Classifiers over Data Streams.
Proceedings of the 2018 International Conference on Management of Data, 2018

2017
Research for Practice: Technology for UnderservedCommunities; Personal Fabrication.
ACM Queue, 2017

Research for Practice: Tracing and Debugging Distributed Systems; Programming by Examples.
ACM Queue, 2017

ASAP: Prioritizing Attention via Time Series Smoothing.
Proc. VLDB Endow., 2017

NoScope: Optimizing Deep CNN-Based Queries over Video Streams at Scale.
Proc. VLDB Endow., 2017

Finding Heavily-Weighted Features in Data Streams.
CoRR, 2017

DROP: Dimensionality Reduction Optimization for Time Series.
CoRR, 2017

There and Back Again: A General Approach to Learning Sparse Models.
CoRR, 2017

ASAP: Automatic Smoothing for Attention Prioritization in Streaming Time Series Visualization.
CoRR, 2017

Optimizing Deep CNN-Based Queries over Video Streams at Scale.
CoRR, 2017

Infrastructure for Usable Machine Learning: The Stanford DAWN Project.
CoRR, 2017

SimDex: Exploiting Model Similarity in Exact Matrix Factorization Recommendations.
CoRR, 2017

Research for practice: vigorous public debates in academic computer science.
Commun. ACM, 2017

Research for practice: technology for underserved communities; personal fabrication.
Commun. ACM, 2017

ACIDRain: Concurrency-Related Attacks on Database-Backed Web Applications.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Scalable Kernel Density Classification via Threshold-Based Pruning.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Demonstration: MacroBase, A Fast Data Analysis Engine.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

MacroBase: Prioritizing Attention in Fast Data.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Prioritizing Attention in Analytic Monitoring.
Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2016
Scalable Atomic Visibility with RAMP Transactions.
ACM Trans. Database Syst., 2016

Research for Practice: Web Security and Mobile Web Computing.
ACM Queue, 2016

Research for Practice: Distributed Transactions and Networks as Physical Sensors.
ACM Queue, 2016

Introducing Research for Practice.
ACM Queue, 2016

Research for Practice: Cryptocurrencies, Blockchains, and Smart Contracts; Hardware for Deep Learning.
ACM Queue, 2016

Research for Practice: Distributed Consensus and Implications of NVM on Database Management Systems.
ACM Queue, 2016

MacroBase: Analytic Monitoring for the Internet of Things.
CoRR, 2016

Research for practice: distributed consensus and implications of NVM on database management systems.
Commun. ACM, 2016

2015
Coordination Avoidance in Distributed Databases.
PhD thesis, 2015

Asynchronous Complex Analytics in a Distributed Dataflow Architecture.
CoRR, 2015

Feral Concurrency Control: An Empirical Investigation of Modern Application Integrity.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox.
Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015

The Case for Invariant-Based Concurrency Control.
Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015

2014
Coordination Avoidance in Database Systems.
Proc. VLDB Endow., 2014

Coordination-Avoiding Database Systems.
CoRR, 2014

Quantifying eventual consistency with PBS.
Commun. ACM, 2014

The network is reliable.
Commun. ACM, 2014

2013
Highly Available Transactions: Virtues and Limitations.
Proc. VLDB Endow., 2013

HAT, not CAP: Highly Available Transactions
CoRR, 2013

Eventual consistency today: limitations, extensions, and beyond.
Commun. ACM, 2013

PBS at work: advancing data management with consistency metrics.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Bolt-on causal consistency.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

HAT, Not CAP: Towards Highly Available Transactions.
Proceedings of the 14th Workshop on Hot Topics in Operating Systems, 2013

Consistency without borders.
Proceedings of the ACM Symposium on Cloud Computing, SOCC '13, 2013

HAT, not CAP: Highly Available Transactions for Everybody.
Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013

2012
TinyToCS Volume 1 Chairs' Note.
Tiny Trans. Comput. Sci., 2012

Probabilistically Bounded Staleness for Practical Partial Quorums.
Proc. VLDB Endow., 2012

The potential dangers of causal consistency and an explicit solution.
Proceedings of the ACM Symposium on Cloud Computing, SOCC '12, 2012

2011
Programming micro-aerial vehicle swarms with karma.
Proceedings of the 9th International Conference on Embedded Networked Sensor Systems, 2011

Dimetrodon: processor-level preventive thermal management via idle cycle injection.
Proceedings of the 48th Design Automation Conference, 2011

2010
Positional Communication and Private Information in Honeybee Foraging Models.
Proceedings of the Swarm Intelligence - 7th International Conference, 2010


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