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Reliable learning in challenging environments

Reliable learning in challenging environments

6 April 2023
Maria-Florina Balcan
Steve Hanneke
Rattana Pukdee
Dravyansh Sharma
    OOD
ArXivPDFHTML

Papers citing "Reliable learning in challenging environments"

6 / 6 papers shown
Title
On the Computability of Robust PAC Learning
On the Computability of Robust PAC Learning
Pascale Gourdeau
Tosca Lechner
Ruth Urner
27
2
0
14 Jun 2024
Nash Equilibria and Pitfalls of Adversarial Training in Adversarial
  Robustness Games
Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games
Maria-Florina Balcan
Rattana Pukdee
Pradeep Ravikumar
Hongyang R. Zhang
AAML
31
12
0
23 Oct 2022
Adversarially Robust Learning: A Generic Minimax Optimal Learner and
  Characterization
Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization
Omar Montasser
Steve Hanneke
Nathan Srebro
21
17
0
15 Sep 2022
Exponential Savings in Agnostic Active Learning through Abstention
Exponential Savings in Agnostic Active Learning through Abstention
Nikita Puchkin
Nikita Zhivotovskiy
18
20
0
31 Jan 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
270
5,660
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
279
9,136
0
06 Jun 2015
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