Related Events (a corresponding poster, oral, or spotlight)

• 2007 Oral: Adaptive Online Gradient Descent »
  Tue. Dec 4th 11:00 -- 11:20 PM Room

More from the Same Authors

• 2021 Poster: Near Optimal Policy Optimization via REPS »
  Aldo Pacchiano · Jonathan N Lee · Peter Bartlett · Ofir Nachum
• 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: On the Theory of Reinforcement Learning with Once-per-Episode Feedback »
  Niladri Chatterji · Aldo Pacchiano · Peter Bartlett · Michael Jordan
• 2021 Invited Talk: Benign Overfitting »
  Peter Bartlett
• 2021 Poster: Adversarial Examples in Multi-Layer Random ReLU Networks »
  Peter Bartlett · Sebastien Bubeck · Yeshwanth Cherapanamjeri
• 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 Poster: Preference learning along multiple criteria: A game-theoretic perspective »
  Kush Bhatia · Ashwin Pananjady · Peter Bartlett · Anca Dragan · Martin Wainwright
• 2020 Poster: Online Agnostic Boosting via Regret Minimization »
  Nataly Brukhim · Xinyi Chen · Elad Hazan · 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: 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: Gen-Oja: Simple & Efficient Algorithm for Streaming Generalized Eigenvector Computation »
  Kush Bhatia · Aldo Pacchiano · Nicolas Flammarion · Peter Bartlett · Michael Jordan
• 2018 Poster: Horizon-Independent Minimax Linear Regression »
  Alan Malek · Peter Bartlett
• 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: Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem »
  Yasin Abbasi Yadkori · Peter Bartlett · Victor Gabillon
• 2017 Poster: Spectrally-normalized margin bounds for neural networks »
  Peter Bartlett · Dylan J Foster · Matus Telgarsky
• 2017 Spotlight: Spectrally-normalized margin bounds for neural networks »
  Peter Bartlett · Dylan J Foster · Matus Telgarsky
• 2017 Poster: Alternating minimization for dictionary learning with random initialization »
  Niladri Chatterji · Peter Bartlett
• 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 Poster: Acceleration and Averaging in Stochastic Descent Dynamics »
  Walid Krichene · Peter Bartlett
• 2017 Spotlight: Online Learning of Linear Dynamical Systems »
  Elad Hazan · Karan Singh · Cyril Zhang
• 2017 Spotlight: Acceleration and Averaging in Stochastic Descent Dynamics »
  Walid Krichene · Peter Bartlett
• 2017 Spotlight: Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls »
  Zeyuan Allen-Zhu · Elad Hazan · Wei Hu · Yuanzhi Li
• 2016 Workshop: Time Series Workshop »
  Oren Anava · Marco Cuturi · Azadeh Khaleghi · Vitaly Kuznetsov · Sasha Rakhlin
• 2016 Poster: Optimal Black-Box Reductions Between Optimization Objectives »
  Zeyuan Allen-Zhu · Elad Hazan
• 2016 Poster: Adaptive Averaging in Accelerated Descent Dynamics »
  Walid Krichene · Alexandre Bayen · Peter Bartlett
• 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 Workshop: Time Series Workshop »
  Oren Anava · Azadeh Khaleghi · Vitaly Kuznetsov · Alexander Rakhlin
• 2015 Poster: Online Learning for Adversaries with Memory: Price of Past Mistakes »
  Oren Anava · Elad Hazan · Shie Mannor
• 2015 Poster: Accelerated Mirror Descent in Continuous and Discrete Time »
  Walid Krichene · Alexandre Bayen · Peter Bartlett
• 2015 Poster: Adaptive Online Learning »
  Dylan Foster · Alexander Rakhlin · Karthik Sridharan
• 2015 Spotlight: Accelerated Mirror Descent in Continuous and Discrete Time »
  Walid Krichene · Alexandre Bayen · Peter Bartlett
• 2015 Spotlight: Adaptive Online Learning »
  Dylan Foster · Alexander Rakhlin · Karthik Sridharan
• 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
• 2015 Poster: Minimax Time Series Prediction »
  Wouter Koolen · Alan Malek · Peter Bartlett · Yasin Abbasi Yadkori
• 2014 Workshop: Large-scale reinforcement learning and Markov decision problems »
  Benjamin Van Roy · Mohammad Ghavamzadeh · Peter Bartlett · Yasin Abbasi Yadkori · Ambuj Tewari
• 2014 Workshop: Modern Nonparametrics 3: Automating the Learning Pipeline »
  Eric Xing · Mladen Kolar · Arthur Gretton · Samory Kpotufe · Han Liu · Zoltán Szabó · Alan Yuille · Andrew G Wilson · Ryan Tibshirani · Sasha Rakhlin · Damian Kozbur · Bharath Sriperumbudur · David Lopez-Paz · Kirthevasan Kandasamy · Francesco Orabona · Andreas Damianou · Wacha Bounliphone · Yanshuai Cao · Arijit Das · Yingzhen Yang · Giulia DeSalvo · Dmitry Storcheus · Roberto Valerio
• 2014 Poster: Large-Margin Convex Polytope Machine »
  Alex Kantchelian · Michael C Tschantz · Ling Huang · Peter Bartlett · Anthony D Joseph · J. D. Tygar
• 2014 Poster: Efficient Minimax Strategies for Square Loss Games »
  Wouter M Koolen · Alan Malek · Peter Bartlett
• 2013 Workshop: Resource-Efficient Machine Learning »
  Yevgeny Seldin · Yasin Abbasi Yadkori · Yacov Crammer · Ralf Herbrich · Peter Bartlett
• 2013 Workshop: Learning Faster From Easy Data »
  Peter Grünwald · Wouter M Koolen · Sasha Rakhlin · Nati Srebro · Alekh Agarwal · Karthik Sridharan · Tim van Erven · Sebastien Bubeck
• 2013 Workshop: Perturbations, Optimization, and Statistics »
  Tamir Hazan · George Papandreou · Sasha Rakhlin · Danny Tarlow
• 2013 Poster: Optimization, Learning, and Games with Predictable Sequences »
  Sasha Rakhlin · Karthik Sridharan
• 2013 Poster: How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal »
  Jacob D Abernethy · Peter Bartlett · Rafael Frongillo · Andre Wibisono
• 2013 Spotlight: How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal »
  Jacob D Abernethy · Peter Bartlett · Rafael Frongillo · Andre Wibisono
• 2013 Poster: Online Learning of Dynamic Parameters in Social Networks »
  Shahin Shahrampour · Sasha Rakhlin · Ali Jadbabaie
• 2013 Poster: Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions »
  Yasin Abbasi Yadkori · Peter Bartlett · Varun Kanade · Yevgeny Seldin · Csaba Szepesvari
• 2012 Workshop: Multi-Trade-offs in Machine Learning »
  Yevgeny Seldin · Guy Lever · John Shawe-Taylor · Nicolò Cesa-Bianchi · Yacov Crammer · Francois Laviolette · Gabor Lugosi · Peter Bartlett
• 2012 Poster: Relax and Randomize : From Value to Algorithms »
  Sasha Rakhlin · Ohad Shamir · Karthik Sridharan
• 2012 Oral: Relax and Randomize : From Value to Algorithms »
  Sasha Rakhlin · Ohad Shamir · Karthik Sridharan
• 2011 Workshop: Computational Trade-offs in Statistical Learning »
  Alekh Agarwal · Sasha Rakhlin
• 2011 Session: Oral Session 12 »
  Sasha Rakhlin
• 2011 Poster: Lower Bounds for Passive and Active Learning »
  Maxim Raginsky · Sasha Rakhlin
• 2011 Poster: Stochastic convex optimization with bandit feedback »
  Alekh Agarwal · Dean P Foster · Daniel Hsu · Sham M Kakade · Sasha Rakhlin
• 2011 Spotlight: Lower Bounds for Passive and Active Learning »
  Maxim Raginsky · Sasha Rakhlin
• 2011 Poster: Online Learning: Stochastic, Constrained, and Smoothed Adversaries »
  Sasha Rakhlin · Karthik Sridharan · Ambuj Tewari
• 2011 Session: Opening Remarks and Awards »
  Terrence Sejnowski · Peter Bartlett · Fernando Pereira
• 2010 Poster: Random Walk Approach to Regret Minimization »
  Hariharan Narayanan · Sasha Rakhlin
• 2010 Oral: Online Learning: Random Averages, Combinatorial Parameters, and Learnability »
  Sasha Rakhlin · Karthik Sridharan · Ambuj Tewari
• 2010 Poster: Online Learning: Random Averages, Combinatorial Parameters, and Learnability »
  Sasha Rakhlin · Karthik Sridharan · Ambuj Tewari
• 2009 Poster: On Stochastic and Worst-case Models for Investing »
  Elad Hazan · Satyen Kale
• 2009 Poster: Information-theoretic lower bounds on the oracle complexity of convex optimization »
  Alekh Agarwal · Peter Bartlett · Pradeep Ravikumar · Martin J Wainwright
• 2009 Spotlight: Information-theoretic lower bounds on the oracle complexity of convex optimization »
  Alekh Agarwal · Peter Bartlett · Pradeep Ravikumar · Martin J Wainwright
• 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 Poster: Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs »
  Ambuj Tewari · Peter Bartlett
• 2007 Poster: Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria »
  Elad Hazan · Satyen Kale
• 2006 Poster: Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds »
  Benjamin Rubinstein · Peter Bartlett · J. Hyam Rubinstein
• 2006 Poster: Sample Complexity of Policy Search with Known Dynamics »
  Peter Bartlett · Ambuj Tewari
• 2006 Poster: AdaBoost is Consistent »
  Peter Bartlett · Mikhail Traskin
• 2006 Poster: Stability of $K$-Means Clustering »
  Sasha Rakhlin · Andrea Caponnetto