Timezone: »
Boosting is a widely used machine learning approach based on the idea of aggregating weak learning rules. While in statistical learning numerous boosting methods exist both in the realizable and agnostic settings, in online learning they exist only in the realizable case. In this work we provide the first agnostic online boosting algorithm; that is, given a weak learner with only marginally-better-than-trivial regret guarantees, our algorithm boosts it to a strong learner with sublinear regret. Our algorithm is based on an abstract (and simple) reduction to online convex optimization, which efficiently converts an arbitrary online convex optimizer to an online booster. Moreover, this reduction extends to the statistical as well as the online realizable settings, thus unifying the 4 cases of statistical/online and agnostic/realizable boosting.
Author Information
Nataly Brukhim (Princeton University)
Xinyi Chen (Princeton University)
Elad Hazan (Princeton University)
Shay Moran (Technion)
More from the Same Authors
-
2021 Spotlight: Towards a Unified Information-Theoretic Framework for Generalization »
Mahdi Haghifam · Gintare Karolina Dziugaite · Shay Moran · Dan Roy -
2022 Poster: Integral Probability Metrics PAC-Bayes Bounds »
Ron Amit · Baruch Epstein · Shay Moran · Ron Meir -
2022 Poster: A Boosting Approach to Reinforcement Learning »
Nataly Brukhim · Elad Hazan · Karan Singh -
2022 Poster: Universal Rates for Interactive Learning »
Steve Hanneke · Amin Karbasi · Shay Moran · Grigoris Velegkas -
2022 Poster: On Optimal Learning Under Targeted Data Poisoning »
Steve Hanneke · Amin Karbasi · Mohammad Mahmoody · Idan Mehalel · Shay Moran -
2021 Poster: Online Control of Unknown Time-Varying Dynamical Systems »
Edgar Minasyan · Paula Gradu · Max Simchowitz · Elad Hazan -
2021 Poster: Multiclass Boosting and the Cost of Weak Learning »
Nataly Brukhim · Elad Hazan · Shay Moran · Indraneel Mukherjee · Robert Schapire -
2021 Poster: Towards a Unified Information-Theoretic Framework for Generalization »
Mahdi Haghifam · Gintare Karolina Dziugaite · Shay Moran · Dan Roy -
2020 Poster: Geometric Exploration for Online Control »
Orestis Plevrakis · Elad Hazan -
2020 Poster: Non-Stochastic Control with Bandit Feedback »
Paula Gradu · John Hallman · Elad Hazan -
2020 : Opening remarks from the WiML 2020 Organizers »
Xinyi Chen · Erin Grant -
2020 Affinity Workshop: Women in Machine Learning »
Xinyi Chen · Erin Grant · Kristy Choi · Krystal Maughan · Xenia Miscouridou · Judy Hanwen Shen · Raquel Aoki · Belén Saldías · Mel Woghiren · Elizabeth Wood -
2020 Poster: Synthetic Data Generators -- Sequential and Private »
Olivier Bousquet · Roi Livni · Shay Moran -
2020 Poster: Learning from Mixtures of Private and Public Populations »
Raef Bassily · Shay Moran · Anupama Nandi -
2020 Poster: A Limitation of the PAC-Bayes Framework »
Roi Livni · Shay Moran -
2019 : Logarithmic Regret for Online Control »
Naman Agarwal · Elad Hazan · Karan Singh -
2019 : Poster and Coffee Break 1 »
Aaron Sidford · Aditya Mahajan · Alejandro Ribeiro · Alex Lewandowski · Ali H Sayed · Ambuj Tewari · Angelika Steger · Anima Anandkumar · Asier Mujika · Hilbert J Kappen · Bolei Zhou · Byron Boots · Chelsea Finn · Chen-Yu Wei · Chi Jin · Ching-An Cheng · Christina Yu · Clement Gehring · Craig Boutilier · Dahua Lin · Daniel McNamee · Daniel Russo · David Brandfonbrener · Denny Zhou · Devesh Jha · Diego Romeres · Doina Precup · Dominik Thalmeier · Eduard Gorbunov · Elad Hazan · Elena Smirnova · Elvis Dohmatob · Emma Brunskill · Enrique Munoz de Cote · Ethan Waldie · Florian Meier · Florian Schaefer · Ge Liu · Gergely Neu · Haim Kaplan · Hao Sun · Hengshuai Yao · Jalaj Bhandari · James A Preiss · Jayakumar Subramanian · Jiajin Li · Jieping Ye · Jimmy Smith · Joan Bas Serrano · Joan Bruna · John Langford · Jonathan Lee · Jose A. Arjona-Medina · Kaiqing Zhang · Karan Singh · Yuping Luo · Zafarali Ahmed · Zaiwei Chen · Zhaoran Wang · Zhizhong Li · Zhuoran Yang · Ziping Xu · Ziyang Tang · Yi Mao · David Brandfonbrener · Shirli Di-Castro · Riashat Islam · Zuyue Fu · Abhishek Naik · Saurabh Kumar · Benjamin Petit · Angeliki Kamoutsi · Simone Totaro · Arvind Raghunathan · Rui Wu · Donghwan Lee · Dongsheng Ding · Alec Koppel · Hao Sun · Christian Tjandraatmadja · Mahdi Karami · Jincheng Mei · Chenjun Xiao · Junfeng Wen · Zichen Zhang · Ross Goroshin · Mohammad Pezeshki · Jiaqi Zhai · Philip Amortila · Shuo Huang · Mariya Vasileva · El houcine Bergou · Adel Ahmadyan · Haoran Sun · Sheng Zhang · Lukas Gruber · Yuanhao Wang · Tetiana Parshakova -
2019 Poster: Private Learning Implies Online Learning: An Efficient Reduction »
Alon Gonen · Elad Hazan · Shay Moran -
2019 Spotlight: Private Learning Implies Online Learning: An Efficient Reduction »
Alon Gonen · Elad Hazan · Shay Moran -
2019 Poster: An adaptive nearest neighbor rule for classification »
Akshay Balsubramani · Sanjoy Dasgupta · yoav Freund · Shay Moran -
2019 Spotlight: An adaptive nearest neighbor rule for classification »
Akshay Balsubramani · Sanjoy Dasgupta · yoav Freund · Shay Moran -
2019 Poster: Learning to Screen »
Alon Cohen · Avinatan Hassidim · Haim Kaplan · Yishay Mansour · Shay Moran -
2019 Poster: Limits of Private Learning with Access to Public Data »
Raef Bassily · Shay Moran · Noga Alon -
2019 Poster: Logarithmic Regret for Online Control »
Naman Agarwal · Elad Hazan · Karan Singh -
2019 Oral: Logarithmic Regret for Online Control »
Naman Agarwal · Elad Hazan · Karan Singh -
2018 Poster: Online Improper Learning with an Approximation Oracle »
Elad Hazan · Wei Hu · Yuanzhi Li · Zhiyuan Li -
2018 Poster: Online Learning of Quantum States »
Scott Aaronson · Xinyi Chen · Elad Hazan · Satyen Kale · Ashwin Nayak -
2018 Poster: Spectral Filtering for General Linear Dynamical Systems »
Elad Hazan · Holden Lee · Karan Singh · Cyril Zhang · Yi Zhang -
2018 Oral: Spectral Filtering for General Linear Dynamical Systems »
Elad Hazan · Holden Lee · Karan Singh · Cyril Zhang · Yi Zhang -
2017 Poster: Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues »
Noga Alon · Moshe Babaioff · Yannai A. Gonczarowski · Yishay Mansour · Shay Moran · Amir Yehudayoff -
2017 Spotlight: Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues »
Noga Alon · Moshe Babaioff · Yannai A. Gonczarowski · Yishay Mansour · Shay Moran · Amir Yehudayoff -
2017 Poster: Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls »
Zeyuan Allen-Zhu · Elad Hazan · Wei Hu · Yuanzhi Li -
2017 Poster: Learning Linear Dynamical Systems via Spectral Filtering »
Elad Hazan · Karan Singh · Cyril Zhang -
2017 Spotlight: Online Learning of Linear Dynamical Systems »
Elad Hazan · Karan Singh · Cyril Zhang -
2017 Spotlight: Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls »
Zeyuan Allen-Zhu · Elad Hazan · Wei Hu · Yuanzhi Li -
2016 Poster: Optimal Black-Box Reductions Between Optimization Objectives »
Zeyuan Allen-Zhu · Elad Hazan -
2016 Poster: Supervised learning through the lens of compression »
Ofir David · Shay Moran · Amir Yehudayoff -
2016 Oral: Supervised learning through the lens of compression »
Ofir David · Shay Moran · Amir Yehudayoff -
2016 Poster: A Non-generative Framework and Convex Relaxations for Unsupervised Learning »
Elad Hazan · Tengyu Ma -
2016 Poster: The Limits of Learning with Missing Data »
Brian Bullins · Elad Hazan · Tomer Koren -
2015 Poster: Online Learning for Adversaries with Memory: Price of Past Mistakes »
Oren Anava · Elad Hazan · Shie Mannor -
2015 Poster: Beyond Convexity: Stochastic Quasi-Convex Optimization »
Elad Hazan · Kfir Y. Levy · Shai Shalev-Shwartz -
2015 Poster: Online Gradient Boosting »
Alina Beygelzimer · Elad Hazan · Satyen Kale · Haipeng Luo -
2009 Poster: On Stochastic and Worst-case Models for Investing »
Elad Hazan · Satyen Kale -
2009 Oral: On Stochastic and Worst-case Models for Investing »
Elad Hazan · Satyen Kale -
2009 Poster: An Efficient Interior-Point Method for Minimum-Regret Learning in Online Convex Optimization »
Elad Hazan · Nimrod Megiddo -
2009 Spotlight: An Efficient Interior-Point Method for Minimum-Regret Learning in Online Convex Optimization »
Elad Hazan · Nimrod Megiddo -
2009 Poster: Beyond Convexity: Online Submodular Minimization »
Elad Hazan · Satyen Kale -
2007 Oral: Adaptive Online Gradient Descent »
Peter Bartlett · Elad Hazan · Sasha Rakhlin -
2007 Poster: Adaptive Online Gradient Descent »
Peter Bartlett · Elad Hazan · Sasha Rakhlin -
2007 Poster: Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria »
Elad Hazan · Satyen Kale