Michael Shavlovsky

20 papers A* 2A 3B 2C 2Journal 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
An efficient algorithm for entropic optimal transport under martingale-type constraints.
CoRR
Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Tesi Xiao, Lexing Ying
2025 A conf
COS-DPO: Conditioned One-Shot Multi-Objective Fine-Tuning Framework.
UAI
Yinuo Ren, Tesi Xiao, Michael Shavlovsky, Lexing Ying, Holakou Rahmanian
2025 A conf
Orbit: A Framework for Designing and Evaluating Multi-objective Rankers.
IUI
Chenyang Yang, Tesi Xiao, Michael Shavlovsky, Christian Kästner, Tongshuang Wu
2024 J jnl
A Sinkhorn-type Algorithm for Constrained Optimal Transport.
CoRR
Xun Tang, Holakou Rahmanian, Michael Shavlovsky, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
2024 J jnl
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations.
CoRR
Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
2024 A* conf
Accelerating Sinkhorn algorithm with sparse Newton iterations.
ICLR
Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
2024 J jnl
HyperDPO: Hypernetwork-based Multi-Objective Fine-Tuning Framework.
CoRR
Yinuo Ren, Tesi Xiao, Michael Shavlovsky, Lexing Ying, Holakou Rahmanian
2024 J jnl
Orbit: A Framework for Designing and Evaluating Multi-objective Rankers.
CoRR
Chenyang Yang, Tesi Xiao, Michael Shavlovsky, Christian Kästner, Tongshuang Wu
2024 J jnl
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity.
Trans. Mach. Learn. Res.
Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, Yesh Dattatreya, Sujay Sanghavi
2023 J jnl
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity.
CoRR
Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, Yesh Dattatreya, Sujay Sanghavi
2017 — —
Reputation Systems and Incentives Schemes for Quality Control in Crowdsourcing.
Michael Shavlovsky
2016 B conf
Dynamics of Peer Grading: An Empirical Study.
EDM
Luca de Alfaro, Michael Shavlovsky
2016 J jnl
Incentives for Truthful Evaluations.
CoRR
Luca de Alfaro, Marco Faella, Vassilis Polychronopoulos, Michael Shavlovsky
2016 J jnl
Incentives for Truthful Peer Grading.
CoRR
Luca de Alfaro, Michael Shavlovsky, Vassilis Polychronopoulos
2015 B conf
Reliable Aggregation of Boolean Crowdsourced Tasks.
HCOMP
Luca de Alfaro, Vassilis Polychronopoulos, Michael Shavlovsky
2014 A conf
CrowdGrader: a tool for crowdsourcing the evaluation of homework assignments.
SIGCSE
Luca de Alfaro, Michael Shavlovsky
2014 C conf
Software verification games: Designing Xylem, The Code of Plants.
FDG
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
2014 C conf
Xylem: The Code of Plants.
FDG
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
2013 A* conf
Attributing authorship of revisioned content.
WWW
Luca de Alfaro, Michael Shavlovsky
2013 J jnl
CrowdGrader: Crowdsourcing the Evaluation of Homework Assignments.
CoRR
Luca de Alfaro, Michael Shavlovsky