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2020 – today
- 2024
[j1]Kevin Leyton-Brown, Mausam, Yatin Nandwani
, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu:
Matching papers and reviewers at large conferences. Artif. Intell. 331: 104119 (2024)- [c4]Chris Cameron, Jason S. Hartford, Taylor Lundy, Tuan Truong, Alan Milligan, Rex Chen, Kevin Leyton-Brown:
UNSAT Solver Synthesis via Monte Carlo Forest Search. CPAIOR (1) 2024: 170-189 - 2022
- [c3]Chris Cameron, Jason S. Hartford, Taylor Lundy, Kevin Leyton-Brown:
The Perils of Learning Before Optimizing. AAAI 2022: 3708-3715 - [i4]Kevin Leyton-Brown, Mausam, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu:
Matching Papers and Reviewers at Large Conferences. CoRR abs/2202.12273 (2022) - [i3]Chris Cameron, Jason S. Hartford, Taylor Lundy, Tuan Truong, Alan Milligan, Rex Chen, Kevin Leyton-Brown:
Monte Carlo Forest Search: UNSAT Solver Synthesis via Reinforcement learning. CoRR abs/2211.12581 (2022) - 2021
- [i2]Chris Cameron, Jason S. Hartford, Taylor Lundy, Kevin Leyton-Brown:
The Perils of Learning Before Optimizing. CoRR abs/2106.10349 (2021) - 2020
- [c2]Chris Cameron, Rex Chen, Jason S. Hartford, Kevin Leyton-Brown:
Predicting Propositional Satisfiability via End-to-End Learning. AAAI 2020: 3324-3331
2010 – 2019
- 2017
- [i1]Chris Cameron, Holger H. Hoos, Kevin Leyton-Brown, Frank Hutter:
OASC-2017: *Zilla Submission. OASC 2017: 15-18 - 2016
- [c1]Chris Cameron, Holger H. Hoos, Kevin Leyton-Brown:
Bias in Algorithm Portfolio Performance Evaluation. IJCAI 2016: 712-719
Coauthor Index
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