Ofer Meshi
Ofer Meshi
Research Scientist at Google
Verifierad e-postadress på google.com - Startsida
Citeras av
Citeras av
Learning efficiently with approximate inference via dual losses
O Meshi, D Sontag, T Jaakkola, A Globerson
International Machine Learning Society, 2010
An alternating direction method for dual MAP LP relaxation
O Meshi, A Globerson
Joint European conference on machine learning and knowledge discovery in …, 2011
Convexifying the Bethe free energy
O Meshi, A Jaimovich, A Globerson, N Friedman
arXiv preprint arXiv:1205.2624, 2012
Template based inference in symmetric relational Markov random fields
A Jaimovich, O Meshi, N Friedman
arXiv preprint arXiv:1206.5276, 2012
Linear-memory and decomposition-invariant linearly convergent conditional gradient algorithm for structured polytopes
D Garber, O Meshi
Advances in neural information processing systems 29, 1001-1009, 2016
Convergence rate analysis of MAP coordinate minimization algorithms
O Meshi, A Globerson, T Jaakkola
Advances in Neural Information Processing Systems 25, 3014-3022, 2012
Smooth and strong: Map inference with linear convergence
O Meshi, M Mahdavi, A Schwing
Advances in Neural Information Processing Systems 28, 298-306, 2015
More data means less inference: A pseudo-max approach to structured learning
D Sontag, O Meshi, T Jaakkola, A Globerson
Neural Information Processing Systems Foundation, 2010
Learning structured models with the AUC loss and its generalizations
N Rosenfeld, O Meshi, D Tarlow, A Globerson
Artificial Intelligence and Statistics, 841-849, 2014
Evolutionary conservation and over-representation of functionally enriched network patterns in the yeast regulatory network
O Meshi, T Shlomi, E Ruppin
BMC systems biology 1 (1), 1-7, 2007
Seq2slate: Re-ranking and slate optimization with rnns
I Bello, S Kulkarni, S Jain, C Boutilier, E Chi, E Eban, X Luo, A Mackey, ...
arXiv preprint arXiv:1810.02019, 2018
Train and Test Tightness of LP Relaxations in Structured Prediction
O Meshi, M Mahdavi, A Weller, D Sontag
International Conference on Machine Learning (ICML), 2016
Deep structured prediction with nonlinear output transformations
C Graber, O Meshi, A Schwing
arXiv preprint arXiv:1811.00539, 2018
Efficient training of structured svms via soft constraints
O Meshi, N Srebro, T Hazan
Artificial Intelligence and Statistics, 699-707, 2015
FastInf: An efficient approximate inference library
A Jaimovich, O Meshi, I McGraw, G Elidan
The Journal of Machine Learning Research 11, 1733-1736, 2010
Empirical Bayes regret minimization
CW Hsu, B Kveton, O Meshi, M Mladenov, C Szepesvari
arXiv preprint arXiv:1904.02664, 2019
Learning Max-Margin Tree Predictors
O Meshi, E Eban, G Elidan, A Globerson
Uncertainty in Artificial Intelligence (UAI), 2013
Planning and learning with stochastic action sets
C Boutilier, A Cohen, A Daniely, A Hassidim, Y Mansour, O Meshi, ...
arXiv preprint arXiv:1805.02363, 2018
Asynchronous parallel coordinate minimization for map inference
O Meshi, AG Schwing
Logistic Markov Decision Processes.
M Mladenov, C Boutilier, D Schuurmans, O Meshi, G Elidan, T Lu
IJCAI, 2486-2493, 2017
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20