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A tight excess risk bound via a unified PAC-Bayesian-Rademacher-Shtarkov-MDL complexity., и . ALT, том 98 из Proceedings of Machine Learning Research, стр. 433-465. PMLR, (2019)From exp-concavity to variance control: O(1/n) rates and online-to-batch conversion with high probability.. CoRR, (2016)Safe-Bayesian Generalized Linear Regression., , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 2623-2633. PMLR, (2020)On sparse representations and new meta-learning paradigms for representation learning.. Georgia Institute of Technology, Atlanta, GA, USA, (2014)base-search.net (ftgeorgiatech:oai:smartech.gatech.edu:1853/52159).On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: a regret lower bound for WSU-UX., , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 4681-4689. PMLR, (2024)A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option., , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 3707-3716. PMLR, (2020)CompAdaGrad: A Compressed, Complementary, Computationally-Efficient Adaptive Gradient Method., , , и . CoRR, (2016)Multi-Observation Regression., , , и . CoRR, (2018)Generalized Mixability via Entropic Duality., , , и . COLT, том 40 из JMLR Workshop and Conference Proceedings, стр. 1501-1522. JMLR.org, (2015)Multi-Observation Regression., , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 2691-2700. PMLR, (2019)