57 citations · 405 across the 34 of their papers we have counts for
3 papers · 1 filter
Online Learning with Feedback Graphs Without the Graphs
Alon Cohen, Tamir Hazan, Tomer Koren
We study an online learning framework introduced by Mannor and Shamir (2011) in which the feedback is specified by a graph, in a setting where the graph may vary from round to roun…
High Dimensional Inference with Random Maximum A-Posteriori Perturbations
Tamir Hazan, Francesco Orabona, Anand D. Sarwate +2
This paper presents a new approach, called perturb-max, for high-dimensional statistical inference that is based on applying random perturbations followed by optimization. This fra…
Multicuts and Perturb & MAP for Probabilistic Graph Clustering
Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy +2
We present a probabilistic graphical model formulation for the graph clustering problem. This enables to locally represent uncertainty of image partitions by approximate marginal d…