Matches in SemOpenAlex for { <https://semopenalex.org/work/W3207223249> ?p ?o ?g. }
- W3207223249 abstract "Aggregated predictors are obtained by making a set of basic predictors vote according to some weights, that is, to some probability distribution. Randomized predictors are obtained by sampling in a set of basic predictors, according to some prescribed probability distribution. Thus, aggregated and randomized predictors have in common that they are not defined by a minimization problem, but by a probability distribution on the set of predictors. In statistical learning theory, there is a set of tools designed to understand the generalization ability of such procedures: PAC-Bayesian or PAC-Bayes bounds. Since the original PAC-Bayes bounds of McAllester, these tools have been considerably improved in many directions (we will for example describe a simplified version of the localization technique of Catoni that was missed by the community, and later rediscovered as mutual information bounds). Very recently, PAC-Bayes bounds received a considerable attention: for example there was workshop on PAC-Bayes at NIPS 2017, (Almost) 50 Shades of Bayesian Learning: PAC-Bayesian trends and insights, organized by B. Guedj, F. Bach and P. Germain. One of the reason of this recent success is the successful application of these bounds to neural networks by Dziugaite and Roy. An elementary introduction to PAC-Bayes theory is still missing. This is an attempt to provide such an introduction." @default.
- W3207223249 created "2021-10-25" @default.
- W3207223249 creator A5079677136 @default.
- W3207223249 date "2021-10-21" @default.
- W3207223249 modified "2023-09-27" @default.
- W3207223249 title "User-friendly introduction to PAC-Bayes bounds" @default.
- W3207223249 cites W138682821 @default.
- W3207223249 cites W1495813543 @default.
- W3207223249 cites W1564947197 @default.
- W3207223249 cites W1570963478 @default.
- W3207223249 cites W1575998240 @default.
- W3207223249 cites W1593594636 @default.
- W3207223249 cites W1622633983 @default.
- W3207223249 cites W1628114069 @default.
- W3207223249 cites W1628829797 @default.
- W3207223249 cites W1859987214 @default.
- W3207223249 cites W1885448067 @default.
- W3207223249 cites W1907483012 @default.
- W3207223249 cites W1971110023 @default.
- W3207223249 cites W1972615020 @default.
- W3207223249 cites W1979675141 @default.
- W3207223249 cites W1982032418 @default.
- W3207223249 cites W1989780425 @default.
- W3207223249 cites W1999376700 @default.
- W3207223249 cites W2009689404 @default.
- W3207223249 cites W2014384147 @default.
- W3207223249 cites W2019363670 @default.
- W3207223249 cites W2029029543 @default.
- W3207223249 cites W2043919728 @default.
- W3207223249 cites W2047229728 @default.
- W3207223249 cites W2049393399 @default.
- W3207223249 cites W2054658115 @default.
- W3207223249 cites W2054716087 @default.
- W3207223249 cites W2060092029 @default.
- W3207223249 cites W2062714872 @default.
- W3207223249 cites W2062772460 @default.
- W3207223249 cites W2073123088 @default.
- W3207223249 cites W2076250442 @default.
- W3207223249 cites W2077723394 @default.
- W3207223249 cites W2083047081 @default.
- W3207223249 cites W2099720176 @default.
- W3207223249 cites W2101460669 @default.
- W3207223249 cites W2102098892 @default.
- W3207223249 cites W2103972570 @default.
- W3207223249 cites W2105516453 @default.
- W3207223249 cites W2107074784 @default.
- W3207223249 cites W2108005930 @default.
- W3207223249 cites W2112172616 @default.
- W3207223249 cites W2115065944 @default.
- W3207223249 cites W2116314036 @default.
- W3207223249 cites W2116942894 @default.
- W3207223249 cites W2121358800 @default.
- W3207223249 cites W2122385821 @default.
- W3207223249 cites W2122899522 @default.
- W3207223249 cites W2123838014 @default.
- W3207223249 cites W2129278264 @default.
- W3207223249 cites W2130464645 @default.
- W3207223249 cites W2130797782 @default.
- W3207223249 cites W2131401323 @default.
- W3207223249 cites W2136144249 @default.
- W3207223249 cites W2146807381 @default.
- W3207223249 cites W2148603752 @default.
- W3207223249 cites W2149991487 @default.
- W3207223249 cites W2152020329 @default.
- W3207223249 cites W2161084348 @default.
- W3207223249 cites W2163907882 @default.
- W3207223249 cites W2166228563 @default.
- W3207223249 cites W2168022998 @default.
- W3207223249 cites W2187289344 @default.
- W3207223249 cites W2204440804 @default.
- W3207223249 cites W2243728833 @default.
- W3207223249 cites W2412885812 @default.
- W3207223249 cites W2414843940 @default.
- W3207223249 cites W2535170036 @default.
- W3207223249 cites W2541283300 @default.
- W3207223249 cites W2557776807 @default.
- W3207223249 cites W2560068110 @default.
- W3207223249 cites W2611627047 @default.
- W3207223249 cites W2614938855 @default.
- W3207223249 cites W2741952635 @default.
- W3207223249 cites W2752086744 @default.
- W3207223249 cites W2785654520 @default.
- W3207223249 cites W2790390983 @default.
- W3207223249 cites W2893924688 @default.
- W3207223249 cites W2911945827 @default.
- W3207223249 cites W2925978506 @default.
- W3207223249 cites W2935209189 @default.
- W3207223249 cites W2946421721 @default.
- W3207223249 cites W2952892739 @default.
- W3207223249 cites W2962744698 @default.
- W3207223249 cites W2962894765 @default.
- W3207223249 cites W2962927523 @default.
- W3207223249 cites W2962928691 @default.
- W3207223249 cites W2963011376 @default.
- W3207223249 cites W2963027586 @default.
- W3207223249 cites W2963103083 @default.
- W3207223249 cites W2963509076 @default.
- W3207223249 cites W2963532386 @default.
- W3207223249 cites W2963650125 @default.
- W3207223249 cites W2963663068 @default.