Tomer Koren
According to our database^{1},
Tomer Koren
authored at least 31 papers
between 2011 and 2019.
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Bibliography
2019
SemiCyclic Stochastic Gradient Descent.
Proceedings of the 36th International Conference on Machine Learning, 2019
Learning LinearQuadratic Regulators Efficiently with only √T Regret.
Proceedings of the 36th International Conference on Machine Learning, 2019
Better Algorithms for Stochastic Bandits with Adversarial Corruptions.
Proceedings of the Conference on Learning Theory, 2019
2018
Online Linear Quadratic Control.
Proceedings of the 35th International Conference on Machine Learning, 2018
Shampoo: Preconditioned Stochastic Tensor Optimization.
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
MultiArmed Bandits with Metric Movement Costs.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
AffineInvariant Online Optimization and the Lowrank Experts Problem.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Bandits with Movement Costs and Adaptive Pricing.
Proceedings of the 30th Conference on Learning Theory, 2017
Tight Bounds for Bandit Combinatorial Optimization.
Proceedings of the 30th Conference on Learning Theory, 2017
2016
A lineartime algorithm for trust region problems.
Math. Program., 2016
The computational power of optimization in online learning.
Proceedings of the 48th Annual ACM SIGACT Symposium on Theory of Computing, 2016
Online Pricing with Strategic and Patient Buyers.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
The Limits of Learning with Missing Data.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Online Learning with Feedback Graphs Without the Graphs.
Proceedings of the 33nd International Conference on Machine Learning, 2016
Online Learning with Low Rank Experts.
Proceedings of the 29th Conference on Learning Theory, 2016
2015
OracleBased Robust Optimization via Online Learning.
Operations Research, 2015
Fast Rates for Expconcave Empirical Risk Minimization.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Bandit Smooth Convex Optimization: Improving the BiasVariance Tradeoff.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Bandit Convex Optimization: \(\sqrt{T}\) Regret in One Dimension.
Proceedings of The 28th Conference on Learning Theory, 2015
Online Learning with Feedback Graphs: Beyond Bandits.
Proceedings of The 28th Conference on Learning Theory, 2015
2014
Bandits with switching costs: T^{2/3} regret.
Proceedings of the Symposium on Theory of Computing, 2014
The Blinded Bandit: Learning with Adaptive Feedback.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Chasing Ghosts: Competing with Stateful Policies.
Proceedings of the 55th IEEE Annual Symposium on Foundations of Computer Science, 2014
Logistic Regression: Tight Bounds for Stochastic and Online Optimization.
Proceedings of The 27th Conference on Learning Theory, 2014
Online Learning with Composite Loss Functions.
Proceedings of The 27th Conference on Learning Theory, 2014
2013
Distributed Exploration in MultiArmed Bandits.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 58, 2013
Almost Optimal Exploration in MultiArmed Bandits.
Proceedings of the 30th International Conference on Machine Learning, 2013
Open Problem: Fast Stochastic ExpConcave Optimization.
Proceedings of the COLT 2013, 2013
2012
Linear Regression with Limited Observation.
Proceedings of the 29th International Conference on Machine Learning, 2012
Supervised system identification based on local PCA models.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
Beating SGD: Learning SVMs in Sublinear Time.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 1214 December 2011, 2011