Webb10 okt. 2024 · Simpler PAC-Bayesian Bounds for Hostile Data Article Full-text available May 2024 MACH LEARN Pierre Alquier Benjamin Guedj View Show abstract Sub-Gaussian mean estimators Article Full-text... WebbSimpler PAC-Bayesian bounds for hostile data (PDF) Simpler PAC-Bayesian bounds for hostile data Benjamin Guedj - Academia.edu Academia.edu no longer supports Internet …
PAC-Bayes control: learning policies that provably generalize to …
Webb11 apr. 2024 · Alquier, P. User-friendly introduction to PAC-Bayes bounds. arXiv preprint arXiv:2110.11216, 2024. Sgd generalizes better than gd (and regularization doesn't help) Jan 2024 WebbAxis 2: Simpler PAC-Bayesian bounds for hostile data; Axis 2: PAC-Bayesian high dimensional bipartite ranking; Axis 2: Multiview Boosting by Controlling the Diversity and … to let in park royal
Pierre Alquier DeepAI
Webb7.3.Simpler PAC-Bayesian Bounds for Hostile Data9 7.4.Clustering categorical functional data: Application to medical discharge letters9 7.5.Simultaneous dimension reduction and multi-objective clustering10 7.6.Spatial Prediction of solar energy10 7.7.Multiple change-point detection10 Webb7.2.Simpler PAC-Bayesian Bounds for Hostile Data6 7.3.Highlight 1 High-dimensional Adaptive Ranking with PAC-Bayesian Bounds6 7.4.Online Adaptive Clustering7 7.5.Study of Transcriptional Regulation7 7.6.Functional Binary Linear Models for Stratified Samples7 7.7.Mixture Model for Mixed Kind of Data7 7.8.Data Units Selection in Statistics7 Webb23 okt. 2016 · This paper aims at relaxing these constraints and provides PAC-Bayesian learning bounds that hold for dependent, heavy-tailed observations (hereafter referred to as \emph{hostile data}). In these bounds the Kullack-Leibler divergence is replaced with a general version of Csisz\'ar's $f$-divergence. to let in perthshire