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Adam Elmachtoub
เข้าร่วมเมื่อ 27 ต.ค. 2013
Smart "Predict, then Optimize"
Link to paper: arxiv.org/abs/1710.08005
Authors: Adam N. Elmachtoub and Paul Grigas
Authors: Adam N. Elmachtoub and Paul Grigas
มุมมอง: 3 794
วีดีโอ
Static Pricing: Universal Guarantees for Reusable Resources
มุมมอง 2164 ปีที่แล้ว
Link to theory paper: arxiv.org/abs/1905.00731 Link to implementation paper: papers.ssrn.com/sol3/papers.cfm?abstract_id=3476437 Authors: Omar Besbes, Adam N. Elmachtoub, Yunjie Sun
Queuing Safely for Elevator Systems amidst a Pandemic
มุมมอง 5354 ปีที่แล้ว
Link to paper: papers.ssrn.com/sol3/papers.cfm?abstract_id=3755062 Contact us here: SafeElevatorQueues@columbia.edu Authors: Sai Mali Ananthanarayanan, Charles C. Branas, Adam N. Elmachtoub, Clifford Stein, and Yeqing Zhou
Nice speech and excellent work! I wonder if the framework is suitable for situations when there are many unknown parameters like demand, load, and so on.
Amazing work. Ran into this same problem many times. Ur generalization is amazing. D. U have any portfolio optimization or some form of knapsack problem example?
Code with the paper is here which has portfolio opt : github.com/paulgrigas/SmartPredictThenOptimize But this recent work is the place to go and has knapsack I believe: github.com/khalil-research/PyEPO
Read the paper and this presentation was amazing. I was wondering where can I find the codes of the findings (and if you used python)?
It seems like the OR researchers seldom share their code and data. I could understand that this require extra efforts. Really appreciate this piece of work, a lot of amazing ideas.
Code with the paper is here: github.com/paulgrigas/SmartPredictThenOptimize But this recent work is the place to go: github.com/khalil-research/PyEPO
@@adamelmachtoub2140 Very nice work! I am a researcher on causality. The prediction part corresponds to the ITE estimation, while the optimization part corresponds to the policy learning. Your work inspires a promising future for causal policy research! Thanks a lot~
Sorry did not notice your research until now.
It is a great video for the OM class!
Love this!