Author of the publication

Scale-free algorithms for online linear optimization

, and . International Conference on Algorithmic Learning Theory, page 287--301. Springer, (2015)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Better Algorithms for Selective Sampling., and . ICML, page 433-440. Omnipress, (2011)Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations., and . COLT, volume 35 of JMLR Workshop and Conference Proceedings, page 1020-1039. JMLR.org, (2014)Regression-tree Tuning in a Streaming Setting., and . NIPS, page 1788-1796. (2013)Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers., , , , and . NeurIPS, page 26237-26249. (2021)Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 6643-6670. PMLR, (2023)Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 7664-7672. PMLR, (2019)On Measure Concentration of Random Maximum A-Posteriori Perturbations., , , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 432-440. JMLR.org, (2014)Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion., , , , , and . CoRR, (2023)Simulation and Assessment of Bioinspired Visual Processing System for Epi-retinal Prostheses., , , and . EMBC, page 3278-3281. IEEE, (2006)Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration., , and . NeurIPS, page 15332-15341. (2019)