Regret Optimization
Regret Optimization is a decision-theoretic framework within risk optimization that minimizes the discrepancy between the performance of chosen actions and the best possible actions in hindsight under uncertainty.
680
Publications
32.7K
Citations
1.3K
Authors
506
Institutions
Publications per year
2017–2026
293
Parents
680
A Theory of Regret Regulation 1.0
Marcel Zeelenberg, Rik Pieters · Journal of Consumer Psychology · 2007 · 980 citations
The Epoch-Greedy algorithm for contextual multi-armed bandits
John Langford, Tong Zhang · 2007 · 331 citations
1–5 of 680
1.3K
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506
Technion – Israel Institute of Technology
Haifa, Israel
20 h-index
35 publications
1.8K citations

University of Alberta
Edmonton, Canada
20 h-index
37 publications
1.4K citations

Cornell University
Ithaca, United States
20 h-index
41 publications
2.4K citations
Microsoft (United States)
Redmond, United States
19 h-index
39 publications
2.7K citations
Google (United States)
Mountain View, United States
18 h-index
35 publications
1.2K citations
Princeton University
Princeton, United States
17 h-index
31 publications
2.4K citations
University of California, Berkeley
Berkeley, United States
16 h-index
43 publications
1.9K citations
Massachusetts Institute of Technology
Cambridge, United States
13 h-index
27 publications
1K citations
1–8 of 506
Repository · 150 publications · 6.2K citations
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Conference · 16 publications · 735 citations
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12 publications · 987 citations
12
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Conference · 13 publications · 392 citations
11
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Repository · 11 publications · 381 citations
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