Decomposition and adaptive sampling for data-driven inverse linear optimization
Year of publication: |
2022
|
---|---|
Authors: | Gupta, Rishabh ; Zhang, Qi |
Published in: |
INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences. - Linthicum, Md. : INFORMS, ISSN 1526-5528, ZDB-ID 2004082-9. - Vol. 34.2022, 5, p. 2720-2735
|
Subject: | adaptive sampling | inverse optimization | online learning | Theorie | Theory | Stichprobenerhebung | Sampling | Lernprozess | Learning process |
-
A note on the advantage of context in Thompson sampling
Byrd, Michael, (2021)
-
Sampled fictitious play for approxmate dynamic programming
Epelman, Marina, (2011)
-
Applying sampling theories to attitude learning in a virtual school class environment
Fiedler, Klaus, (2013)
- More ...
-
Volatility spillovers in the dry bulk shipping markets
Raju, Totakura Bangar, (2021)
-
Behavioural Perspective of Customer Engagement in FMCG Brands
Kataria, Simran, (2021)
-
Gupta, Rishabh, (2024)
- More ...