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Learning-to-learn non-convex piecewise-Lipschitz functions

Learning-to-learn non-convex piecewise-Lipschitz functions

19 August 2021
Maria-Florina Balcan
M. Khodak
Dravyansh Sharma
Ameet Talwalkar
ArXivPDFHTML

Papers citing "Learning-to-learn non-convex piecewise-Lipschitz functions"

7 / 7 papers shown
Title
Learning accurate and interpretable tree-based models
Learning accurate and interpretable tree-based models
Maria-Florina Balcan
Dravyansh Sharma
42
7
0
24 May 2024
Competitive strategies to use "warm start" algorithms with predictions
Competitive strategies to use "warm start" algorithms with predictions
Vaidehi Srinivas
Avrim Blum
39
1
0
06 May 2024
Meta-Learning Adversarial Bandit Algorithms
Meta-Learning Adversarial Bandit Algorithms
M. Khodak
Ilya Osadchiy
Keegan Harris
Maria-Florina Balcan
Kfir Y. Levy
Ron Meir
Zhiwei Steven Wu
FedML
26
2
0
05 Jul 2023
New Guarantees for Learning Revenue Maximizing Menus of Lotteries and
  Two-Part Tariffs
New Guarantees for Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffs
Maria-Florina Balcan
Hedyeh Beyhaghi
14
3
0
22 Feb 2023
Learning Predictions for Algorithms with Predictions
Learning Predictions for Algorithms with Predictions
M. Khodak
Maria-Florina Balcan
Ameet Talwalkar
Sergei Vassilvitskii
17
25
0
18 Feb 2022
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
177
639
0
19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
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