Kfir Y. Levy

  • Postdoctoral Fellow
  • External Website
  • yehuda.levy@inf.ethz.ch
  • CAB G 68
  • +41 44 633 88 31
  • My research interests lie broadly in Machine Learning and Stochastic Optimization. I am particularly interested in designing universal methods that apply to a wide class of learning scenarios, with a focus on problems where non-convex structure arises.

Publications

2018
2017
2016
  • On graduated optimization for stochastic non-convex problems
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  • In International Conference on Machine Learning,
  • [bibtex] [abstract]
2015
  • Beyond convexity: Stochastic quasi-convex optimization
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  • In Advances in Neural Information Processing Systems,
  • [bibtex] [abstract]
  • Fast rates for exp-concave empirical risk minimization
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  • In Advances in Neural Information Processing Systems,
  • [bibtex] [abstract]
2014
  • Bandit convex optimization: Towards tight bounds
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  • In Advances in Neural Information Processing Systems,
  • [bibtex] [abstract]
  • Logistic regression: Tight bounds for stochastic and online optimization
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  • In Conference on Learning Theory,
  • [bibtex] [abstract]
2011
  • Unified inter and intra options learning using policy gradient methods
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  • In European Workshop on Reinforcement Learning,
  • [bibtex] [abstract]