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References from User-friendly Introduction to PAC-Bayes Bounds. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
2006 · External reference
PAC-Bayesian bounds for randomized empirical risk minimizers
10.3103/s1066530708040017 · 2008 · External reference
Bayesian methods for low-rank matrix estimation: short survey and theoretical study
2013 · External reference
Sparse single-index model
2013 · External reference
Simpler PAC-Bayesian bounds for hostile data
10.1007/s10994-017-5690-0 · 2018 · External reference
Prediction of time series by statistical learning: general losses and fast rates
10.2478/demo-2013-0004 · 2013 · External reference
PAC-Bayesian bounds for sparse regression estimation with exponential weights
10.1214/11-ejs601 · 2011 · External reference
Concentration of tempered posteriors and of their variational approximations
10.1214/19-aos1855 · 2020 · External reference
On the properties of variational approximations of Gibbs posteriors
2016 · External reference
Model selection for weakly dependent time series forecasting
10.3150/11-bej359 · 2012 · External reference
Unresolved reference
2006 · External reference
Unresolved reference
2021 · External reference
Meta-learning by adjusting priors based on extended PAC-Bayes theory
2018 · External reference
Exponential Smoothing for Off-Policy Learning
2023 · External reference
Unresolved reference
2021 · External reference
Unresolved reference
2018 · External reference
Unresolved reference
2004 · External reference
Fast learning rates in statistical inference through aggregation
10.1214/08-aos623 · 2009 · External reference
Combining PAC-Bayesian and generic chaining bounds
2007 · External reference
Robust linear least squares regression
10.1214/11-aos918 · 2011 · External reference
Unresolved reference
2021 · External reference
On Bayesian bounds
2006 · External reference
PAC-Bayes bounds on variational tempered posteriors for Markov models
10.3390/e23030313 · 2021 · External reference
Information complexity and generalization bounds
2021 · External reference
Unresolved reference
2021 · External reference
The minimum description length principle in coding and modeling
10.1109/18.720554 · 1998 · External reference
Convexity, classification, and risk bounds
10.1198/016214505000000907 · 2006 · External reference
Empirical minimization
10.1007/s00440-005-0462-3 · 2006 · External reference
Prediction and limiting synthesis of recursively enumerable classes of functions
1974 · External reference
Learners that use little information
2018 · External reference
Unresolved reference
2016 · External reference
Bayesian fractional posteriors
10.1214/18-aos1712 · 2019 · External reference
Differentiable PAC-Bayes objectives with partially aggregated neural networks
10.3390/e23101280 · 2021 · External reference
On margins and derandomisation in PAC-Bayes
2022 · External reference
Unresolved reference
2021 · External reference
A general framework for updating belief distributions
10.1111/rssb.12158 · 2016 · External reference
Occam’s hammer
2007 · External reference
Variational inference: A review for statisticians
10.1080/01621459.2017.1285773 · 2017 · External reference
10.1093/acprof:oso/9780199535255.001.0001
10.1093/acprof:oso/9780199535255.001.0001 · 2013 · External reference
Tightening mutual information-based bounds on generalization error
10.1109/jsait.2020.2991139 · 2020 · External reference
10.1561/2200000024 · 2012 · Admitted local publication
Sequential procedures for aggregating arbitrary estimators of a conditional mean
10.1109/tit.2008.917657 · 2008 · External reference
Unresolved reference
2007 · External reference
A PAC-Bayesian approach to adaptive classification
2003 · External reference
Unresolved reference
2004 · External reference
Challenging the empirical mean and empirical variance: a deviation study
2012 · External reference
Dimension free PAC-Bayesian bounds for the estimation of the mean of a random vector
2017 · External reference
How to use expert advice
10.1145/258128.258179 · 1997 · External reference
10.1017/cbo9780511546921
10.1017/cbo9780511546921 · 2006 · External reference
Unresolved reference
2012 · External reference
Unresolved reference
2021 · External reference
Consistency of ELBO maximization for model selection
2019 · External reference
Convergence rates of variational inference in sparse deep learning
2020 · External reference
Consistency of variational Bayes inference for estimation and model selection in mixtures
10.1214/18-ejs1475 · 2018 · External reference
A generalization bound for online variational inference
2019 · External reference
On PAC-Bayesian reconstruction guarantees for VAEs
2022 · External reference
On some recent advances on high dimensional Bayesian statistics
2015 · External reference
Unresolved reference
2023 · External reference
Conditionally Gaussian PAC-Bayes
2022 · External reference
Unresolved reference
2022 · External reference
Chained generalisation bounds
2022 · External reference
Wide stochastic networks: Gaussian limit and PAC-Bayesian training
2023 · External reference
1-bit matrix completion: PAC- Bayesian analysis of a variational approximation
10.1007/s10994-017-5667-z · 2018 · External reference
Aggregation of affine estimators
10.1214/14-ejs886 · 2014 · External reference
Deviation optimal learning using greedy Q-aggregation
10.1214/12-aos1025 · 2012 · External reference
On the exponentially weighted aggregate with the Laplace prior
10.1214/17-aos1626 · 2018 · External reference
Sharp oracle inequalities for aggregation of affine estimators
10.1214/12-aos1038 · 2012 · External reference
Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity
10.1007/s10994-008-5051-0 · 2008 · External reference
Sparse regression learning by aggregation and Langevin Monte-Carlo
10.1016/j.jcss.2011.12.023 · 2012 · External reference
Exponential weights in multivariate regression and a low-rankness favoring prior
10.1214/19-aihp1010 · 2020 · External reference
10.1007/978-0-387-69952-3_2
10.1007/978-0-387-69952-3_2 · 2007 · External reference
10.1007/978-1-4612-0711-5
10.1007/978-1-4612-0711-5 · 1996 · External reference
Asymptotic evaluation of certain Markov process expectations for large time. III
10.1002/cpa.3160290405 · 1976 · External reference
On the role of data in PAC-Bayes bounds
2021 · External reference
Computing nonvacuous generalization bounds for deep (stochastic) neural networks with many more parameters than training data
2017 · External reference
Data-dependent PAC-Bayes priors via differential privacy
2018 · External reference
On the role of data in PAC-Bayes
2021 · External reference
Unresolved reference
2021 · External reference
Unresolved reference
External reference
Unresolved reference
2021 · External reference
Unresolved reference
2020 · External reference
Unresolved reference
2021 · External reference
Optimal rates and adaptation in the single-index model using aggregation
10.1214/07-ejs077 · 2007 · External reference
Unresolved reference
2020 · External reference
PAC- Bayesian theory meets Bayesian inference
2016 · External reference
A new PAC-Bayesian perspective on domain adaptation
2016 · External reference
Risk bounds for the majority vote: from a PAC-Bayesian analysis to a learning algorithm
2015 · External reference
PAC- Bayesian learning of linear classifiers
2009 · External reference
10.1017/9781139029834
10.1017/9781139029834 · 2017 · External reference
10.1201/b17895
10.1201/b17895 · 2014 · External reference
Robust dimension-free Gram operator estimates
10.3150/17-bej981 · 2018 · External reference
Unresolved reference
2023 · External reference
PAC-Bayes, MAC-Bayes and conditional mutual information: fast rate bounds that handle general VC classes
2021 · External reference
Inconsistency of Bayesian inference for misspecified linear models, and a proposal for repairing it
10.1214/17-ba1085 · 2017 · External reference
10.7551/mitpress/4643.001.0001
10.7551/mitpress/4643.001.0001 · 2007 · External reference
Fast rates for general unbounded loss functions: From ERM to Generalized Bayes
2020 · External reference
A primer on PAC-Bayesian learning
2019 · External reference
PAC-Bayesian estimation and prediction in sparse additive models
10.1214/13-ejs771 · 2013 · External reference
Unresolved reference
2022 · External reference
PAC-Bayes generalisation bounds for heavy-tailed losses through supermartingales
2023 · External reference
Unresolved reference
2020 · External reference
PAC-Bayes unleashed: generalisation bounds with unbounded losses
10.3390/e23101330 · 2021 · External reference
Unresolved reference
2021 · External reference
Understanding generalization via leave-one-out conditional mutual information
2022 · External reference
Unresolved reference
2020 · External reference
Limitations of information- theoretic generalization bounds for gradient descent methods in stochastic convex optimization
2023 · External reference
Learning partially known stochastic dynamics with empirical PAC-Bayes
2021 · External reference
Generalization bounds via information density and conditional information density
10.1109/jsait.2020.3040992 · 2020 · External reference
A PAC-Bayesian margin bound for linear classifiers
10.1109/tit.2002.805090 · 2002 · External reference
A PAC-Bayes bound for tailored density estimation
2010 · External reference
Keeping the neural networks simple by minimizing the description length of the weights
1993 · External reference
The many faces of exponential weights in online learning
2018 · External reference
PAC-Bayes under potentially heavy tails
2019 · External reference
Tight bounds for the expected risk of linear classifiers and PAC-Bayes finite-sample guarantees
2014 · External reference
Unresolved reference
2018 · External reference
Asymptotic consistency of a-Rényi-approximate posteriors
2020 · External reference
Tighter PAC-Bayes Bounds Through Coin-Betting
2023 · External reference
Gibbs posterior for variable selection in high-dimensional classification and data mining
2008 · External reference
Unresolved reference
2022 · External reference
Transfer meta-learning: Information-theoretic bounds and information meta-risk minimization
10.1109/tit.2021.3119605 · 2021 · External reference
Functional aggregation for nonparametric regression
2000 · External reference
Learning by mirror averaging
10.1214/07-aos546 · 2008 · External reference
Unresolved reference
2008 · External reference
Unresolved reference
2021 · External reference
Averaging expert predictions
1999 · External reference
An optimizationcentric view on Bayes’ rule: Reviewing and generalizing variational inference
2022 · External reference
Unresolved reference
1959 · External reference
Unresolved reference
2006 · External reference
Unresolved reference
2020 · External reference
Microchoice bounds and selfbounding learning algorithms
10.1023/a:1022806918936 · 2003 · External reference
(Not) bounding the true error
2002 · External reference
Unresolved reference
2001 · External reference
PAC-Bayes & margins
2002 · External reference
From PAC-Bayes bounds to quadratic programs for majority votes
2011 · External reference
Unresolved reference
2007 · External reference
On the optimality of the aggregate with exponential weights for low temperatures
10.3150/11-bej408 · 2013 · External reference
Asymptotically minimax adaptive estimation I: upper bounds
10.1137/1136085 · 1992 · External reference
Dichotomize and generalize: PAC-Bayesian binary activated deep neural networks
2019 · External reference
Information theory and mixing least-squares regressions
10.1109/tit.2006.878172 · 2006 · External reference
Distributiondependent PAC-Bayes Priors
2010 · External reference
Tighter PAC- Bayes bounds through distribution-dependent priors
10.1016/j.tcs.2012.10.013 · 2013 · External reference
The weighted majority algorithm
1989 · External reference
Unresolved reference
2021 · External reference
Statistical generalization performance guarantee for meta-learning with data dependent prior
10.1016/j.neucom.2021.09.018 · 2021 · External reference
Unresolved reference
2020 · External reference
A PAC-Bayesian analysis of randomized learning with application to stochastic gradient descent
2017 · External reference
Bayesian counterfactual risk minimization
2019 · External reference
On PAC-Bayesian bounds for random forests
10.1007/s10994-019-05803-4 · 2019 · External reference
Unresolved reference
2021 · External reference
Generalization bounds via convex analysis
2022 · External reference
PAC-Bayesian risk bounds for group-analysis sparse regression by exponential weighting
10.1016/j.jmva.2018.12.004 · 2019 · External reference
Unresolved reference
2017 · External reference
From bilinear regression to inductive matrix completion: a quasi-Bayesian analysis
10.3390/e25020333 · 2023 · External reference
Simulation comparisons between Bayesian and de-biased estimators in low-rank matrix completion
2023 · External reference
A Bayesian approach for noisy matrix completion: Optimal rate under general sampling distribution
10.1214/15-ejs1020 · 2015 · External reference
Pseudo-Bayesian quantum tomography with rank-adaptation
10.1016/j.jspi.2016.11.003 · 2017 · External reference
Smooth discrimination analysis
10.1214/aos/1017939240 · 1999 · External reference
Unresolved reference
2020 · External reference
Unresolved reference
2020 · External reference
Unresolved reference
2004 · External reference
Unresolved reference
2023 · External reference
Some PAC-Bayesian theorems
1998 · External reference
PAC-Bayesian model averaging
1999 · External reference
PAC-Bayesian stochastic model selection
10.1023/a:1021840411064 · 2003 · External reference
Unresolved reference
2013 · External reference
10.1007/978-3-662-12788-9_6
10.1007/978-3-662-12788-9_6 · 1998 · External reference
Generalization error bounds for Bayesian mixture algorithms
2003 · External reference
Meta-strategy for learning tuning parameters with guarantees
10.3390/e23101257 · 2021 · External reference
Unresolved reference
2019 · External reference
Unresolved reference
2023 · External reference
A direct sum result for the information complexity of learning
2018 · External reference
Unresolved reference
2022 · External reference
Information-theoretic generalization bounds for SGLD via data-dependent estimates
2019 · External reference
Topics in non-parametric statistics
2000 · External reference
Information-theoretic generalization bounds for stochastic gradient descent
2021 · External reference
A PAC-Bayesian approach to spectrally-normalized margin bounds for neural networks
2017 · External reference
PAC-Bayesian contrastive unsupervised representation learning
2020 · External reference
Unresolved reference
2019 · External reference
Unresolved reference
2021 · External reference
Novel change of measure inequalities with applications to PAC-Bayesian bounds and Monte Carlo estimation
2021 · External reference
Randomized learning and generalization of fair and private classifiers: From PAC-Bayes to stability and differential privacy
10.1016/j.neucom.2019.12.137 · 2020 · External reference
Unresolved reference
2019 · External reference
PAC-Bayes bounds with data dependent priors
2012 · External reference
A PAC-Bayesian bound for lifelong learning
2014 · External reference
Tighter risk certificates for neural networks
2021 · External reference
Dissecting non-vacuous generalization bounds based on the mean-field approximation
2020 · External reference
Dynamics of coordinate ascent variational inference: A case study in 2D Ising models
10.3390/e22111263 · 2020 · External reference
Information-theoretic analysis of stability and bias of learning algorithms
2016 · External reference
Chromatic PAC-Bayes bounds for non-i.i.d. data: Applications to ranking and stationary β-mixing processes
2010 · External reference
Unresolved reference
2022 · External reference
PAC-Bayesian AUC classification and scoring
2014 · External reference
Inégalités de Hoeffding pour les fonctions lipschitziennes de suites dépendantes
2000 · External reference
Unresolved reference
2023 · External reference
Modeling by shortest data description
10.1016/0005-1098(78)90005-5 · 1978 · External reference
PAC-Bayes analysis beyond the usual bounds
2020 · External reference
Unresolved reference
2019 · External reference
Unresolved reference
2023 · External reference
Unresolved reference
2021 · External reference
PACOH: Bayes-optimal meta-learning with PAC-guarantees
2021 · External reference
On the frequentist properties of Bayesian nonparametric methods
10.1146/annurev-statistics-041715-033523 · 2016 · External reference
How much does your data exploration overfit? Controlling bias via information usage
10.1109/tit.2019.2945779 · 2019 · External reference
PAC-Bayesian Offline Contextual Bandits With Guarantees
2023 · External reference
Concentration of measure inequalities for Markov chains and Φ-mixing processes
10.1214/aop/1019160125 · 2000 · External reference
PAC-Bayesian generalisation error bounds for Gaussian process classification
2002 · External reference
Unresolved reference
2003 · External reference
PAC-Bayesian analysis of contextual bandits
2011 · External reference
PAC-Bayes-Bernstein inequality for martingales and its application to multiarmed bandits
2012 · External reference
PAC-Bayesian inequalities for martingales
10.1109/tit.2012.2211334 · 2012 · External reference
PAC-Bayesian analysis of coclustering and beyond
2010 · External reference
10.1561/2200000018 · 2011 · Admitted local publication
A PAC analysis of a Bayes estimator
1997 · External reference
Excess risk bounds for the Bayes risk using variational inference in latent Gaussian models
2017 · External reference
Unresolved reference
2022 · External reference
Reasoning about generalization via conditional mutual information
2020 · External reference
PAC-Bayesian learning of optimization algorithms
2023 · External reference
PAC-Bayesian bound for Gaussian process regression and multiple kernel additive model
2012 · External reference
Convergence rate of Bayesian tensor estimator and its minimax optimality
2015 · External reference
Unresolved reference
2020 · External reference
Calibrating general posterior credible regions
10.1093/biomet/asy054 · 2019 · External reference
Gibbs posterior concentration rates under sub-exponential type losses
10.3150/22-bej1491 · 2023 · External reference
Unresolved reference
2023 · External reference
A strongly quasiconvex PAC-Bayesian bound
2017 · External reference
PAC-Bayes-empirical-Bernstein inequality
2013 · External reference
Normalized flat minima: Exploring scale invariant definition of flat minima for neural networks using PAC-Bayesian analysis
2020 · External reference
Optimal rates of aggregation
2003 · External reference
A theory of the learnable
10.1145/1968.1972 · 1984 · External reference
Unresolved reference
2014 · External reference
Unresolved reference
1998 · External reference
The uniform convergence of frequencies of the appearance of events to their probabilities
1968 · External reference
Interpreting neural networks as majority votes through the PAC-Bayesian theory
2019 · External reference
Aggregating strategies
10.1016/b978-1-55860-146-8.50032-1 · 1990 · External reference
10.1017/9781108627771
10.1017/9781108627771 · 2019 · External reference
On the generalization gap inreparameterizable reinforcement learning
2019 · External reference
Unresolved reference
2021 · External reference
Deviation inequalities for sums of weakly dependent time series
2010 · External reference
Unresolved reference
2021 · External reference
Unresolved reference
2022 · External reference
Information-theoretic analysis of generalization capability of learning algorithms
2017 · External reference
Fast-rate PAC-Bayes generalization bounds via shifted Rademacher processes
2019 · External reference
Adaptive regression by mixing
10.1198/016214501753168262 · 2001 · External reference
Aggregating regression procedures to improve performance
2004 · External reference
a -variational inference with statistical guarantees
10.1214/19-aos1827 · 2020 · External reference
Convergence rates of variational posterior distributions
10.1214/19-aos1883 · 2020 · External reference
Information-theoretic upper and lower bounds for statistical estimation
10.1109/tit.2005.864439 · 2006 · External reference
Unresolved reference
2023 · External reference
Unresolved reference
2021 · External reference
Unresolved reference
2018 · External reference
