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2009.03017
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Non-exponentially weighted aggregation: regret bounds for unbounded loss functions
International Conference on Machine Learning (ICML), 2020
7 September 2020
Pierre Alquier
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Papers citing
"Non-exponentially weighted aggregation: regret bounds for unbounded loss functions"
12 / 12 papers shown
A Dual Optimization View to Empirical Risk Minimization with f-Divergence Regularization
Francisco Daunas
I. Esnaola
S. Perlaza
191
1
0
05 Aug 2025
Asymmetry of the Relative Entropy in the Regularization of Empirical Risk Minimization
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2024
Francisco Daunas
I. Esnaola
S. Perlaza
H. Vincent Poor
367
5
0
02 Oct 2024
Equivalence of the Empirical Risk Minimization to Regularization on the Family of f-Divergences
Francisco Daunas
I. Esnaola
S. Perlaza
H. Vincent Poor
215
8
0
01 Feb 2024
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Kyurae Kim
Yian Ma
Jacob R. Gardner
572
10
0
27 Jul 2023
Online-to-PAC Conversions: Generalization Bounds via Regret Analysis
Gábor Lugosi
Gergely Neu
227
15
0
31 May 2023
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods
Neural Information Processing Systems (NeurIPS), 2023
Veit Wild
Sahra Ghalebikesabi
Dino Sejdinovic
Jeremias Knoblauch
BDL
UQCV
376
30
0
24 May 2023
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
International Conference on Machine Learning (ICML), 2023
Kyurae Kim
Kaiwen Wu
Jisu Oh
Jacob R. Gardner
BDL
539
8
0
18 Mar 2023
Optimal Comparator Adaptive Online Learning with Switching Cost
Neural Information Processing Systems (NeurIPS), 2022
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
335
8
0
13 May 2022
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers
Neural Information Processing Systems (NeurIPS), 2021
Jeffrey Negrea
Blair Bilodeau
Nicolò Campolongo
Francesco Orabona
Daniel M. Roy
309
9
0
27 Oct 2021
On the Robustness to Misspecification of
α
α
α
-Posteriors and Their Variational Approximations
Journal of machine learning research (JMLR), 2021
Marco Avella-Medina
J. M. Olea
Cynthia Rush
Amilcar Velez
191
23
0
16 Apr 2021
Meta-strategy for Learning Tuning Parameters with Guarantees
Entropy (Entropy), 2021
Dimitri Meunier
Pierre Alquier
298
9
0
04 Feb 2021
Risk-Monotonicity in Statistical Learning
Neural Information Processing Systems (NeurIPS), 2020
Zakaria Mhammedi
658
9
0
28 Nov 2020
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