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Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach

, , , , and . International Conference on Learning Representations, (2019)

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Learning the Parameters of Determinantal Point Process Kernels., , , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 1224-1232. JMLR.org, (2014)Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks., and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 1861-1869. JMLR.org, (2015)Predictive Entropy Search for Multi-objective Bayesian Optimization., , , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1492-1501. JMLR.org, (2016)Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems., , , , , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 914-922. PMLR, (2017)Computational caches., , , , , , and . SYSTOR, page 8:1-8:7. ACM, (2013)A General Framework for Constrained Bayesian Optimization using Information-based Search., , , , and . J. Mach. Learn. Res., (2016)SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design., , , and . CoRR, (2020)Bayesian Optimization for Machine Learning. (2014)A rapid and automated computational approach to the design of multistable soft actuators., , and . CoRR, (2023)Firefly Monte Carlo: Exact MCMC with Subsets of Data., and . UAI, page 543-552. AUAI Press, (2014)