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הצטרפות לצפייה בפרופיל

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I work in the field of machine learning, which I view as lying in the intersection of…

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ניסיון חינוך

  • Ben Gurion University

צפו Prof. Aryeh בחוויה המלאה

ראה את כותרת, קְבִיעוּת ועוד.

או

הלחיצה על ’המשך‘ להצטרפות או להתחברות מהווה את הסמכתך ל‏הסכם המשתמש‏, ל‏מדיניות הפרטיות‏ ול‏מדיניות קובצי ה-Cookie‏ של LinkedIn.

פרסומים

  • Efficient classification for metric data

    https://www.cs.bgu.ac.il/~karyeh/metric-classification-ieee-arxiv.pdf

  • Minimum KL-divergence on complements of $L_1$ balls

    IEEE Transactions on Information Theory

  • On the Learnability of Shuffle Ideals

    Journal of Machine Learning Research, 2013

  • Active Nearest-Neighbor Learning in Metric Spaces

    Journal of Machine Learning Research, 2017

  • Adaptive Metric Dimensionality Reduction

    Invited to Theoretical Computer Science, 2016

  • Concentration Inequalities for Dependent Random Variables via the Martingale Method

    Annals of Probability, 2008

    The martingale method is used to establish concentration inequalities for a class of dependent random sequences on a countable state space, with the constants in the inequalities expressed in terms of certain mixing coefficients. Along the way, bounds are obtained on martingale differences associated with the random sequences, which may be of independent interest. As applications of the main result, concentration inequalities are also derived for inhomogeneous Markov chains and hidden Markov…

    The martingale method is used to establish concentration inequalities for a class of dependent random sequences on a countable state space, with the constants in the inequalities expressed in terms of certain mixing coefficients. Along the way, bounds are obtained on martingale differences associated with the random sequences, which may be of independent interest. As applications of the main result, concentration inequalities are also derived for inhomogeneous Markov chains and hidden Markov chains, and an extremal property associated with their martingale difference bounds is established. This work complements and generalizes certain concentration inequalities obtained by Marton and Samson, while also providing different proofs of some known results

    ראו פרסום
  • Efficient Regression in Metric Spaces via Approximate Lipschitz Extension

    IEEE Transactions on Information Theory, 2017

  • Exact Lower Bounds for the Agnostic Probably-Approximately-Correct (PAC) Machine Learning Model

    Annals of Statistics, 2019

  • Near-optimal sample compression for nearest neighbors

    IEEE Transactions on Information Theory, 2018

הצטרף עכשיו כדי לראות את כל הפרסומים

פטנטים

  • A. Kontorovich and A. Trachtenberg. Method and system for reconciling remote data.

    US US 20140222760 A1. 2014.

פרויקטים

כבוד ופרסים

  • Google award: 12000 USD unrestricted gift for “Adversarial Examples and Ways to Mitigate Them”

    Google award

  • Toronto prize for excellence in research

    -

  • Yahoo! Faculty Research and Engagement award, 20000 USD unrestricted gift

    -

  • Distinguished Contribution Award, The 5th International Workshop on Mining and Learning with Graphs (MLG)

    -

  • NIPS 2014 Outstanding Reviewer Award

    -

שפות

  • Hebrew

    מיומנות שפת אם או דו-לשונית

  • English

    מיומנות שפת אם או דו-לשונית

  • Russian

    מיומנות שפת אם או דו-לשונית

הצג Prof. Aryeh את הפרופיל המלא

  • ראה את מי שאתה מכיר במשותף
  • הכירו
  • צור קשר Prof. Aryeh ישירות
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