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Disambiguation of "Bailis, Peter"

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, , , , and . Proc. VLDB Endow., 13 (11): 1990-2003 (2020)

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Peter Bailis

Tanja Elisabeth Peters

George Gershwins und Jerome Kerns Musicalsongs: ihre Ähnlichkeit, Wahrnehmung und musikalische Struktur. Uni Köln, (2008)

Andre Peters

Description and determination of soil hydraulic properties on the laboratory scale. TU Braunschweig, (2008)

Jillian Petersen

Diversity and ecology of chemosynthetic symbioses in deep-sea invertebrates. Uni Bremen, (2009)

Robert Martin Peterreins

Musikhörfähigkeit von Patienten mit elektroakustischer Stimulation: Testung anhand des Mu.S.I.C.-Tests. TU München, (2009)
 

Other publications of authors with the same name

LIT: Learned Intermediate Representation Training for Model Compression., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3509-3518. PMLR, (2019)TAOBench: An End-to-End Benchmark for Social Networking Workloads., , , , , , , , , and 3 other author(s). Proc. VLDB Endow., 15 (9): 1965-1977 (2022)Accelerating Approximate Aggregation Queries with Expensive Predicates., , , , , and . Proc. VLDB Endow., 14 (11): 2341-2354 (2021)Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark., , , , , , , , , and . ACM SIGOPS Oper. Syst. Rev., 53 (1): 14-25 (2019)Contracting Wide-area Network Topologies to Solve Flow Problems Quickly., , , , , and . NSDI, page 175-200. USENIX Association, (2021)Infrastructure for Usable Machine Learning: The Stanford DAWN Project, , , and . (2017)cite arxiv:1705.07538.Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference., , , , , and . MLSys, mlsys.org, (2020)Coordination Avoidance in Database Systems (Extended Version), , , , , and . (2014)cite arxiv:1402.2237Comment: Extended version of paper appearing in PVLDB Vol. 8, No. 3.Equivariant Transformer Networks., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 6086-6095. PMLR, (2019)Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5690-5700. PMLR, (2019)