Fast rates in statistical and online learning

9 July 2015

Papers citing "Fast rates in statistical and online learning"

26 / 26 papers shown

Title
On The Statistical Complexity of Offline Decision-Making Thanh Nguyen-Tang R. Arora OffRL 53 1 0 10 Jan 2025
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits Junghyun Lee Se-Young Yun Kwang-Sung Jun 45 4 0 19 Jul 2024
Learning to Abstain From Uninformative Data Yikai Zhang Songzhu Zheng M. Dalirrooyfard Pengxiang Wu Anderson Schneider Anant Raj Yuriy Nevmyvaka Chao Chen 26 2 0 25 Sep 2023
Sequential Counterfactual Risk Minimization Houssam Zenati Eustache Diemert Matthieu Martin Julien Mairal Pierre Gaillard OffRL 29 3 0 23 Feb 2023
The Geometry of Mixability Armando J. Cabrera Pacheco Robert C. Williamson 28 3 0 23 Feb 2023
Information Processing Equalities and the Information-Risk Bridge Robert C. Williamson Zac Cranko 33 5 0 25 Jul 2022
Fast Rate Generalization Error Bounds: Variations on a Theme Xuetong Wu J. Manton U. Aickelin Jingge Zhu 32 7 0 06 May 2022
Posterior concentration and fast convergence rates for generalized Bayesian learning L. Ho Binh T. Nguyen Vu C. Dinh D. M. Nguyen 30 5 0 19 Nov 2021
Information-Theoretic Bayes Risk Lower Bounds for Realizable Models M. Nokleby Ahmad Beirami 64 1 0 08 Nov 2021
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes Peter Grünwald Thomas Steinke Lydia Zakynthinou 30 29 0 17 Jun 2021
Fast rates in structured prediction Vivien A. Cabannes Alessandro Rudi Francis R. Bach 23 19 0 01 Feb 2021
Gibbs posterior concentration rates under sub-exponential type losses Nicholas Syring Ryan Martin 26 29 0 08 Dec 2020
A No-Free-Lunch Theorem for MultiTask Learning Steve Hanneke Samory Kpotufe 20 39 0 29 Jun 2020
Strength from Weakness: Fast Learning Using Weak Supervision Joshua Robinson Stefanie Jegelka S. Sra 43 32 0 19 Feb 2020
PAC-Bayes Un-Expected Bernstein Inequality Zakaria Mhammedi Peter Grünwald Benjamin Guedj 25 46 0 31 May 2019
Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance Ulysse Marteau-Ferey Dmitrii Ostrovskii Francis R. Bach Alessandro Rudi 43 52 0 08 Feb 2019
A Primer on PAC-Bayesian Learning Benjamin Guedj 20 221 0 16 Jan 2019
Graphical Convergence of Subgradients in Nonconvex Optimization and Learning Damek Davis Dmitriy Drusvyatskiy 21 26 0 17 Oct 2018
Parameter-free online learning via model selection Dylan J. Foster Satyen Kale M. Mohri Karthik Sridharan 32 59 0 30 Dec 2017
Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities Ruitong Huang Tor Lattimore András Gyorgy Csaba Szepesvári 18 31 0 10 Feb 2017
Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning Wouter M. Koolen Peter Grünwald T. Erven 32 37 0 20 May 2016
Fast Rates for General Unbounded Loss Functions: from ERM to Generalized Bayes Peter Grünwald Nishant A. Mehta 52 71 0 01 May 2016
Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It Peter Grünwald T. V. Ommen 45 265 0 11 Dec 2014
Learning without Concentration S. Mendelson 92 333 0 01 Jan 2014
Mirror averaging with sparsity priors A. Dalalyan Alexandre B. Tsybakov 114 59 0 05 Mar 2010
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 167 455 0 03 Dec 2007