Tomer Koren

According to our database1, Tomer Koren authored at least 31 papers between 2011 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Timeline

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PhD thesis 
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Bibliography

2019
Semi-Cyclic Stochastic Gradient Descent.
Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Linear-Quadratic 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
Multi-Armed Bandits with Metric Movement Costs.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Affine-Invariant Online Optimization and the Low-rank 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 linear-time 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
Oracle-Based Robust Optimization via Online Learning.
Operations Research, 2015

Fast Rates for Exp-concave 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 Bias-Variance 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: T2/3 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 Multi-Armed 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 5-8, 2013

Almost Optimal Exploration in Multi-Armed Bandits.
Proceedings of the 30th International Conference on Machine Learning, 2013

Open Problem: Fast Stochastic Exp-Concave 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 12-14 December 2011, 2011


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