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GrowBag graphs for keyword ? (Num. hits/coverage)
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Found 156 publication records. Showing 156 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 60 | François Laviolette, Mario Marchand |
PAC-Bayes risk bounds for sample-compressed Gibbs classifiers.  |
ICML  |
2005 |
DBLP DOI BibTeX RDF |
|
| 49 | Gintare Karolina Dziugaite, Daniel M. Roy 0001 |
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Data-dependent PAC-Bayes priors via differential privacy. |
CoRR |
2017 |
DBLP BibTeX RDF |
|
| 39 | Alec Farid, Anirudha Majumdar |
PAC-BUS: Meta-Learning Bounds via PAC-Bayes and Uniform Stability. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 35 | Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand |
PAC-Bayesian learning of linear classifiers. |
ICML |
2009 |
DBLP DOI BibTeX RDF |
|
| 35 | Charles Riou, Pierre Alquier, Badr-Eddine Chérief-Abdellatif |
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 35 | Peter Grünwald, Thomas Steinke 0002, Lydia Zakynthinou |
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 35 | Peter Grünwald, Thomas Steinke 0002, Lydia Zakynthinou |
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes. |
COLT |
2021 |
DBLP BibTeX RDF |
|
| 31 | Thore Graepel, Ralf Herbrich, John Shawe-Taylor |
PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification. |
Mach. Learn. |
2005 |
DBLP DOI BibTeX RDF |
sample compression, PAC-Bayes, kernel classifiers, classification, error bounds |
| 25 | Tianyu Liu, Jie Lu 0001, Zheng Yan 0001, Guangquan Zhang 0001 |
Robust Gaussian Process Regression With Input Uncertainty: A PAC-Bayes Perspective. |
IEEE Trans. Cybern. |
2024 |
DBLP DOI BibTeX RDF |
|
| 25 | Pierre Alquier |
User-friendly Introduction to PAC-Bayes Bounds. |
Found. Trends Mach. Learn. |
2024 |
DBLP DOI BibTeX RDF |
|
| 25 | Ioar Casado, Luis A. Ortega, Andrés R. Masegosa, Aritz Pérez |
PAC-Bayes-Chernoff bounds for unbounded losses. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
| 25 | Paul Viallard, Rémi Emonet, Amaury Habrard, Emilie Morvant, Valentina Zantedeschi |
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
| 25 | Bahareh Tasdighi, Nicklas Werge, Yi-Shan Wu 0003, Melih Kandemir |
Probabilistic Actor-Critic: Learning to Explore with PAC-Bayes Uncertainty. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
| 25 | Ilja Kuzborskij, Kwang-Sung Jun, Yulian Wu, Kyoungseok Jang, Francesco Orabona |
Better-than-KL PAC-Bayes Bounds. |
CoRR |
2024 |
DBLP DOI BibTeX RDF |
|
| 25 | Deividas Eringis, John Leth, Zheng-Hua Tan, Rafael Wisniewski, Mihály Petreczky |
PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs. |
AAAI |
2024 |
DBLP DOI BibTeX RDF |
|
| 25 | Volodimir Mitarchuk, Clara Lacroce, Rémi Eyraud, Rémi Emonet, Amaury Habrard, Guillaume Rabusseau |
Length independent PAC-Bayes bounds for Simple RNNs. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 25 | Paul Viallard, Rémi Emonet, Amaury Habrard, Emilie Morvant, Valentina Zantedeschi |
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 25 | Maxime Haddouche, Benjamin Guedj |
PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales. |
Trans. Mach. Learn. Res. |
2023 |
DBLP BibTeX RDF |
|
| 25 | Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone 0001, Anirudha Majumdar |
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 25 | Szilvia Ujváry, Gergely Flamich, Vincent Fortuin, José Miguel Hernández-Lobato |
Estimating optimal PAC-Bayes bounds with Hamiltonian Monte Carlo. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 25 | Fredrik Hellström, Giuseppe Durisi, Benjamin Guedj, Maxim Raginsky |
Generalization Bounds: Perspectives from Information Theory and PAC-Bayes. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 25 | Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund |
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime-validity. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 25 | Ben Chugg, Hongjian Wang, Aaditya Ramdas |
A unified recipe for deriving (time-uniform) PAC-Bayes bounds. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 25 | Maxime Haddouche, Benjamin Guedj |
Wasserstein PAC-Bayes Learning: A Bridge Between Generalisation and Optimisation. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 25 | Xitong Zhang, Avrajit Ghosh, Guangliang Liu, Rongrong Wang |
Auto-tune: PAC-Bayes Optimization over Prior and Posterior for Neural Networks. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 25 | Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky |
PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable RNNs. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 25 | Kyoungseok Jang, Kwang-Sung Jun, Ilja Kuzborskij, Francesco Orabona |
Tighter PAC-Bayes Bounds Through Coin-Betting. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
| 25 | Cuong Nguyen 0006, Thanh-Toan Do, Gustavo Carneiro 0001 |
PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2023 |
DBLP DOI BibTeX RDF |
|
| 25 | Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters 0001 |
PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2023 |
DBLP DOI BibTeX RDF |
|
| 25 | Lior Friedman, Ron Meir |
Adaptive Meta-Learning via data-dependent PAC-Bayes bounds. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 25 | Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar |
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 25 | Sijia Zhou, Yunwen Lei, Ata Kabán |
Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 25 | Kyoungseok Jang, Kwang-Sung Jun, Ilja Kuzborskij, Francesco Orabona |
Tighter PAC-Bayes Bounds Through Coin-Betting. |
COLT |
2023 |
DBLP BibTeX RDF |
|
| 25 | Felix Biggs, Benjamin Guedj |
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 25 | Konstantinos Pitas, Julyan Arbel |
Cold Posteriors through PAC-Bayes. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 25 | Tianyu Liu, Jie Lu 0001, Zheng Yan 0001, Guangquan Zhang 0001 |
Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 25 | Sanae Lotfi, Marc Finzi, Sanyam Kapoor, Andres Potapczynski, Micah Goldblum, Andrew Gordon Wilson |
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 25 | Maxime Haddouche, Benjamin Guedj |
Online PAC-Bayes Learning. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 25 | Maxime Haddouche, Benjamin Guedj |
PAC-Bayes with Unbounded Losses through Supermartingales. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 25 | Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters 0001 |
PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 25 | Felix Biggs |
A Note on the Efficient Evaluation of PAC-Bayes Bounds. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 25 | Arezou Rezazadeh 0001 |
A General framework for PAC-Bayes Bounds for Meta-Learning. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 25 | Yi-Shan Wu 0003, Yevgeny Seldin |
Split-kl and PAC-Bayes-split-kl Inequalities. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 25 | Ron Amit, Baruch Epstein, Shay Moran, Ron Meir |
Integral Probability Metrics PAC-Bayes Bounds. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 25 | Felix Biggs, Benjamin Guedj |
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 25 | Jonathan Warrell, Mark Gerstein |
Higher-Order Generalization Bounds: Learning Deep Probabilistic Programs via PAC-Bayes Objectives. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 25 | Eugenio Clerico, George Deligiannidis, Benjamin Guedj, Arnaud Doucet |
A PAC-Bayes bound for deterministic classifiers. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
|
| 25 | Shiliang Sun, Mengran Yu, John Shawe-Taylor, Liang Mao |
Stability-based PAC-Bayes analysis for multi-view learning algorithms. |
Inf. Fusion |
2022 |
DBLP DOI BibTeX RDF |
|
| 25 | Yi-Shan Wu 0003, Yevgeny Seldin |
Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables. |
NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 25 | Sanae Lotfi, Marc Finzi, Sanyam Kapoor, Andres Potapczynski, Micah Goldblum, Andrew Gordon Wilson |
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization. |
NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 25 | Maxime Haddouche, Benjamin Guedj |
Online PAC-Bayes Learning. |
NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 25 | Ron Amit, Baruch Epstein, Shay Moran, Ron Meir |
Integral Probability Metrics PAC-Bayes Bounds. |
NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 25 | Zifeng Wang 0008, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun 0001, Xi Chen 0003, Yefeng Zheng 0001 |
PAC-Bayes Information Bottleneck. |
ICLR |
2022 |
DBLP BibTeX RDF |
|
| 25 | Arezou Rezazadeh 0001 |
A Unified View on PAC-Bayes Bounds for Meta-Learning. |
ICML |
2022 |
DBLP BibTeX RDF |
|
| 25 | Felix Biggs, Benjamin Guedj |
On Margins and Derandomisation in PAC-Bayes. |
AISTATS |
2022 |
DBLP BibTeX RDF |
|
| 25 | Eugenio Clerico, George Deligiannidis, Arnaud Doucet |
Conditionally Gaussian PAC-Bayes. |
AISTATS |
2022 |
DBLP BibTeX RDF |
|
| 25 | Eugenio Clerico, George Deligiannidis, Arnaud Doucet |
Conditional Gaussian PAC-Bayes. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 25 | Nan Ding 0002, Xi Chen 0071, Tomer Levinboim, Sebastian Goodman, Radu Soricut |
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 25 | María Pérez-Ortiz 0001, Omar Rivasplata, Benjamin Guedj, Matthew Gleeson, Jingyu Zhang, John Shawe-Taylor, Miroslaw Bober, Josef Kittler |
Learning PAC-Bayes Priors for Probabilistic Neural Networks. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 25 | Tianyu Liu, Jie Lu 0001, Zheng Yan 0001, Guangquan Zhang 0001 |
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 25 | Pierre Alquier |
User-friendly introduction to PAC-Bayes bounds. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 25 | Zifeng Wang 0008, Shao-Lun Huang, Ercan E. Kuruoglu, Jimeng Sun 0001, Xi Chen 0003, Yefeng Zheng 0001 |
PAC-Bayes Information Bottleneck. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 25 | Felix Biggs, Benjamin Guedj |
On Margins and Derandomisation in PAC-Bayes. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 25 | Andrew Y. K. Foong, Wessel P. Bruinsma, David R. Burt, Richard E. Turner |
How Tight Can PAC-Bayes be in the Small Data Regime? |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 25 | Soufiane Hayou, Bobby He, Gintare Karolina Dziugaite |
Probabilistic fine-tuning of pruning masks and PAC-Bayes self-bounded learning. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 25 | Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj |
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 25 | Guillaume Vidot, Paul Viallard, Amaury Habrard, Emilie Morvant |
A PAC-Bayes Analysis of Adversarial Robustness. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 25 | Yi-Shan Wu 0003, Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin |
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote. |
CoRR |
2021 |
DBLP BibTeX RDF |
|
| 25 | Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor |
PAC-Bayes Unleashed: Generalisation Bounds with Unbounded Losses. |
Entropy |
2021 |
DBLP DOI BibTeX RDF |
|
| 25 | Benjamin Guedj, Louis Pujol |
Still No Free Lunches: The Price to Pay for Tighter PAC-Bayes Bounds. |
Entropy |
2021 |
DBLP DOI BibTeX RDF |
|
| 25 | Imon Banerjee, Vinayak A. Rao, Harsha Honnappa |
PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models. |
Entropy |
2021 |
DBLP DOI BibTeX RDF |
|
| 25 | Felix Biggs, Benjamin Guedj |
Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks. |
Entropy |
2021 |
DBLP DOI BibTeX RDF |
|
| 25 | Anirudha Majumdar, Alec Farid, Anoopkumar Sonar |
PAC-Bayes control: learning policies that provably generalize to novel environments. |
Int. J. Robotics Res. |
2021 |
DBLP DOI BibTeX RDF |
|
| 25 | Nan Ding 0002, Xi Chen 0071, Tomer Levinboim, Sebastian Goodman, Radu Soricut |
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning. |
NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 25 | Andrew Y. K. Foong, Wessel P. Bruinsma, David R. Burt, Richard E. Turner |
How Tight Can PAC-Bayes be in the Small Data Regime? |
NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 25 | Paul Viallard, Guillaume Vidot, Amaury Habrard, Emilie Morvant |
A PAC-Bayes Analysis of Adversarial Robustness. |
NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 25 | Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj |
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound. |
NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 25 | Yi-Shan Wu 0003, Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin |
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote. |
NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 25 | Alec Farid, Anirudha Majumdar |
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability. |
NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 25 | Gintare Karolina Dziugaite, Kyle Hsu, Waseem Gharbieh, Gabriel Arpino, Daniel M. Roy 0001 |
On the role of data in PAC-Bayes. |
AISTATS |
2021 |
DBLP BibTeX RDF |
|
| 25 | Manuel Haußmann, Sebastian Gerwinn, Andreas Look, Barbara Rakitsch, Melih Kandemir |
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes. |
AISTATS |
2021 |
DBLP BibTeX RDF |
|
| 25 | Luca Oneto, Michele Donini, Massimiliano Pontil, John Shawe-Taylor |
Randomized learning and generalization of fair and private classifiers: From PAC-Bayes to stability and differential privacy. |
Neurocomputing |
2020 |
DBLP DOI BibTeX RDF |
|
| 25 | Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant |
PAC-Bayes and domain adaptation. |
Neurocomputing |
2020 |
DBLP DOI BibTeX RDF |
|
| 25 | John J. Cherian, Andrew G. Taube, Robert T. McGibbon, Panagiotis Angelikopoulos, Guy Blanc, Michael Snarski, Daniel D. Richman, John L. Klepeis, David E. Shaw |
Efficient hyperparameter optimization by way of PAC-Bayes bound minimization. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 25 | Felix Biggs, Benjamin Guedj |
Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 25 | Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor |
PAC-Bayes unleashed: generalisation bounds with unbounded losses. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 25 | Omar Rivasplata, Ilja Kuzborskij, Csaba Szepesvári, John Shawe-Taylor |
PAC-Bayes Analysis Beyond the Usual Bounds. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 25 | Arindam Banerjee 0001, Tiancong Chen, Yingxue Zhou |
De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 25 | Manuel Haußmann, Sebastian Gerwinn, Andreas Look, Barbara Rakitsch, Melih Kandemir |
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 25 | Roi Livni, Shay Moran |
A Limitation of the PAC-Bayes Framework. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 25 | Gintare Karolina Dziugaite, Kyle Hsu, Waseem Gharbieh, Daniel M. Roy 0001 |
On the role of data in PAC-Bayes bounds. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 25 | Yimin Huang, Weiran Huang 0001, Liang Li, Zhenguo Li |
Meta-Learning PAC-Bayes Priors in Model Averaging. |
AAAI |
2020 |
DBLP DOI BibTeX RDF |
|
| 25 | Pranjal Awasthi, Satyen Kale, Stefani Karp, Mehryar Mohri |
PAC-Bayes Learning Bounds for Sample-Dependent Priors. |
NeurIPS |
2020 |
DBLP BibTeX RDF |
|
| 25 | Roi Livni, Shay Moran |
A Limitation of the PAC-Bayes Framework. |
NeurIPS |
2020 |
DBLP BibTeX RDF |
|
| 25 | Omar Rivasplata, Ilja Kuzborskij, Csaba Szepesvári, John Shawe-Taylor |
PAC-Bayes Analysis Beyond the Usual Bounds. |
NeurIPS |
2020 |
DBLP BibTeX RDF |
|
| 25 | Jun Yang, Shengyang Sun, Daniel M. Roy 0001 |
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
| 25 | Kento Nozawa, Issei Sato |
PAC-Bayes Analysis of Sentence Representation. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
| 25 | Konstantinos Pitas |
Better PAC-Bayes Bounds for Deep Neural Networks using the Loss Curvature. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
| 25 | Yimin Huang, Weiran Huang 0001, Liang Li, Zhenguo Li |
Meta-Learning PAC-Bayes Priors in Model Averaging. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
| 25 | Benjamin Guedj, Louis Pujol |
Still no free lunches: the price to pay for tighter PAC-Bayes bounds. |
CoRR |
2019 |
DBLP BibTeX RDF |
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