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M. Dinitz

31 papers hereh-index 241.8k citations106 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author21
  • middle author10

Across the 31 of 31 papers where every author was matched, so the position is known.

fields
  • cs.DS25
  • cs.LG4
  • cs.CC1
  • cs.DC1

identity via Semantic Scholar / OpenAlex

activity
20102026
most citedFault-Tolerant Spanners: Better and Simpler

29 citations · 46 across the 13 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2024

Binary Search with Distributional Predictions

Michael Dinitz, Sungjin Im, Thomas Lavastida +3

Algorithms with (machine-learned) predictions is a powerful framework for combining traditional worst-case algorithms with modern machine learning. However, the vast majority of wo…

cs.LG2022★ 2 cited

Algorithms with Prediction Portfolios

Michael Dinitz, Sungjin Im, Thomas Lavastida +2

The research area of algorithms with predictions has seen recent success showing how to incorporate machine learning into algorithm design to improve performance when the predictio…

cs.LG2021★ 5 cited

Faster Matchings via Learned Duals

Michael Dinitz, Sungjin Im, Thomas Lavastida +2

A recent line of research investigates how algorithms can be augmented with machine-learned predictions to overcome worst case lower bounds. This area has revealed interesting algo…

cs.LG2018

Policy Regret in Repeated Games

Raman Arora, Michael Dinitz, Teodor V. Marinov +1

The notion of \emph{policy regret} in online learning is a well defined? performance measure for the common scenario of adaptive adversaries, which more traditional quantities such…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.