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Michael Shavlovsky
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Books and Theses
- 2017
- [b1]Michael Shavlovsky:
Reputation Systems and Incentives Schemes for Quality Control in Crowdsourcing. University of California, Santa Cruz, USA, 2017
Conference and Workshop Papers
- 2024
- [c7]Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying:
Accelerating Sinkhorn algorithm with sparse Newton iterations. ICLR 2024 - 2016
- [c6]Luca de Alfaro, Michael Shavlovsky:
Dynamics of Peer Grading: An Empirical Study. EDM 2016: 62-69 - 2015
- [c5]Luca de Alfaro, Vassilis Polychronopoulos, Michael Shavlovsky:
Reliable Aggregation of Boolean Crowdsourced Tasks. HCOMP 2015: 42-51 - 2014
- [c4]Heather Logas, Jim Whitehead, Michael Mateas, Richard Vallejos, Lauren Scott, John T. Murray, Kate Compton, Joseph C. Osborn, Orlando Salvatore, Daniel G. Shapiro, Zhongpeng Lin, Huascar Sanchez, Michael Shavlovsky, Chris Lewis, Daniel Cetina, Shayne Clementi:
Xylem: The Code of Plants. FDG 2014 - [c3]Heather Logas, Jim Whitehead, Michael Mateas, Richard Vallejos, Lauren Scott, Daniel G. Shapiro, John T. Murray, Kate Compton, Joseph C. Osborn, Orlando Salvatore, Zhongpeng Lin, Huascar Sanchez, Michael Shavlovsky, Daniel Cetina, Shayne Clementi, Chris Lewis:
Software verification games: Designing Xylem, The Code of Plants. FDG 2014 - [c2]Luca de Alfaro, Michael Shavlovsky:
CrowdGrader: a tool for crowdsourcing the evaluation of homework assignments. SIGCSE 2014: 415-420 - 2013
- [c1]Luca de Alfaro, Michael Shavlovsky:
Attributing authorship of revisioned content. WWW 2013: 343-354
Informal and Other Publications
- 2024
- [i6]Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying:
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations. CoRR abs/2401.12253 (2024) - [i5]Xun Tang, Holakou Rahmanian, Michael Shavlovsky, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying:
A Sinkhorn-type Algorithm for Constrained Optimal Transport. CoRR abs/2403.05054 (2024) - 2023
- [i4]Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, Yesh Dattatreya, Sujay Sanghavi:
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity. CoRR abs/2308.00177 (2023) - 2016
- [i3]Luca de Alfaro, Michael Shavlovsky, Vassilis Polychronopoulos:
Incentives for Truthful Peer Grading. CoRR abs/1604.03178 (2016) - [i2]Luca de Alfaro, Marco Faella, Vassilis Polychronopoulos, Michael Shavlovsky:
Incentives for Truthful Evaluations. CoRR abs/1608.07886 (2016) - 2013
- [i1]Luca de Alfaro, Michael Shavlovsky:
CrowdGrader: Crowdsourcing the Evaluation of Homework Assignments. CoRR abs/1308.5273 (2013)
Coauthor Index
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