57 citations · 405 across the 34 of their papers we have counts for
6 papers · 1 filter
Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs
Tamir Hazan, Jian Peng, Amnon Shashua
In this paper we present a new approach for tightening upper bounds on the partition function. Our upper bounds are based on fractional covering bounds on the entropy function, and…
Blending Learning and Inference in Structured Prediction
Tamir Hazan, Alexander Schwing, David McAllester +1
In this paper we derive an efficient algorithm to learn the parameters of structured predictors in general graphical models. This algorithm blends the learning and inference tasks,…
Efficient Structured Prediction with Latent Variables for General Graphical Models
Alexander Schwing, Tamir Hazan, Marc Pollefeys +1
In this paper we propose a unified framework for structured prediction with latent variables which includes hidden conditional random fields and latent structured support vector ma…
On the Partition Function and Random Maximum A-Posteriori Perturbations
Tamir Hazan, Tommi Jaakkola
In this paper we relate the partition function to the max-statistics of random variables. In particular, we provide a novel framework for approximating and bounding the partition f…
Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies
Tamir Hazan, Amnon Shashua
Inference problems in graphical models can be represented as a constrained optimization of a free energy function. It is known that when the Bethe free energy is used, the fixedpoi…
Continuous Markov Random Fields for Robust Stereo Estimation
Koichiro Yamaguchi, Tamir Hazan, David McAllester +1
In this paper we present a novel slanted-plane MRF model which reasons jointly about occlusion boundaries as well as depth. We formulate the problem as the one of inference in a hy…