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From Predictions to Decisions: Using Lookahead Regularization

From Predictions to Decisions: Using Lookahead Regularization

20 June 2020
Nir Rosenfeld
Sophie Hilgard
S. Ravindranath
David C. Parkes
ArXivPDFHTML

Papers citing "From Predictions to Decisions: Using Lookahead Regularization"

5 / 5 papers shown
Title
Performative Recommendation: Diversifying Content via Strategic
  Incentives
Performative Recommendation: Diversifying Content via Strategic Incentives
Itay Eilat
Nir Rosenfeld
46
7
0
08 Feb 2023
Generalized Strategic Classification and the Case of Aligned Incentives
Generalized Strategic Classification and the Case of Aligned Incentives
Sagi Levanon
Nir Rosenfeld
19
26
0
09 Feb 2022
Strategic Classification Made Practical
Strategic Classification Made Practical
Sagi Levanon
Nir Rosenfeld
40
55
0
02 Mar 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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