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Contextual Reserve Price Optimization in Auctions via Mixed-Integer
  Programming
v1v2 (latest)

Contextual Reserve Price Optimization in Auctions via Mixed-Integer Programming

Neural Information Processing Systems (NeurIPS), 2020
20 February 2020
Joey Huchette
Haihao Lu
Hossein Esfandiari
Vahab Mirrokni
ArXiv (abs)PDFHTML

Papers citing "Contextual Reserve Price Optimization in Auctions via Mixed-Integer Programming"

6 / 6 papers shown
A Survey on the Densest Subgraph Problem and Its Variants
A Survey on the Densest Subgraph Problem and Its VariantsACM Computing Surveys (ACM Comput. Surv.), 2023
Tommaso Lanciano
Atsushi Miyauchi
Adriano Fazzone
Francesco Bonchi
430
64
0
25 Mar 2023
Tackling Provably Hard Representative Selection via Graph Neural
  Networks
Tackling Provably Hard Representative Selection via Graph Neural Networks
Seyed Mehran Kazemi
Anton Tsitsulin
Hossein Esfandiari
M. Bateni
Deepak Ramachandran
Bryan Perozzi
Vahab Mirrokni
438
3
0
20 May 2022
Closing the Loop: A Framework for Trustworthy Machine Learning in Power
  Systems
Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems
Jochen Stiasny
Samuel C. Chevalier
Rahul Nellikkath
Brynjar Sævarsson
Spyros Chatzivasileiadis
292
19
0
14 Mar 2022
Convex Surrogate Loss Functions for Contextual Pricing with Transaction
  Data
Convex Surrogate Loss Functions for Contextual Pricing with Transaction Data
Max Biggs
OffRL
316
1
0
16 Feb 2022
Loss Functions for Discrete Contextual Pricing with Observational Data
Loss Functions for Discrete Contextual Pricing with Observational Data
Max Biggs
Ruijiang Gao
Wei-Ju Sun
432
10
0
18 Nov 2021
Modeling the AC Power Flow Equations with Optimally Compact Neural
  Networks: Application to Unit Commitment
Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit CommitmentElectric power systems research (EPSR), 2021
Alyssa Kody
Samuel C. Chevalier
Spyros Chatzivasileiadis
Daniel Molzahn
298
44
0
21 Oct 2021
1
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