Amir Globerson

Ami Wiesel

CoRR, 2020

Learning Object Detection from Captions via Textual Scene Attributes.

[BibT_eX]

[DOI]

CoRR, 2020

Holdout SGD: Byzantine Tolerant Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Compositional Video Synthesis with Action Graphs.

[BibT_eX]

[DOI]

CoRR, 2020

On the Inductive Bias of a CNN for Orthogonal Patterns Distributions.

[BibT_eX]

[DOI]

CoRR, 2020

Differentiable Scene Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Regularizing Towards Permutation Invariance In Recurrent Models.

[BibT_eX]

[DOI]

Edo Cohen-Karlik

Avichai Ben David

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Optimal Strategies Against Generative Attacks.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Pre-training Mention Representations in Coreference Models.

[BibT_eX]

[DOI]

Yuval Varkel

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Simple and Effective Model for Answering Multi-span Questions.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning Object Permanence from Video.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Canonical Representations for Scene Graph to Image Generation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Learning Latent Scene-Graph Representations for Referring Relationships.

[BibT_eX]

[DOI]

CoRR, 2019

Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Explaining Queries Over Web Tables to Non-experts.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Spatio-Temporal Action Graph Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Learning Rules-First Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Coreference Resolution with Entity Equalization.

[BibT_eX]

[DOI]

Ben Kantor

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Classifying Collisions with Spatio-Temporal Action Graph Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Over-parameterization Improves Generalization in the XOR Detection Problem.

[BibT_eX]

[DOI]

CoRR, 2018

Learning with Rules.

[BibT_eX]

[DOI]

CoRR, 2018

Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Optimize Combinatorial Functions.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Predict and Constrain: Modeling Cardinality in Deep Structured Prediction.

[BibT_eX]

[DOI]

Nataly Brukhim

Proceedings of the 35th International Conference on Machine Learning, 2018

SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Semi-Supervised Learning with Competitive Infection Models.

[BibT_eX]

[DOI]

Nir Rosenfeld

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Weakly Supervised Semantic Parsing with Abstract Examples.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Weakly-supervised Semantic Parsing with Abstract Examples.

[BibT_eX]

[DOI]

CoRR, 2017

Learning and Inference with Expectations.

[BibT_eX]

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Robust Conditional Probabilities.

[BibT_eX]

[DOI]

Yoav Wald

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Infinite Layer Networks Without the Kernel Trick.

[BibT_eX]

[DOI]

Daniel Carmon

Proceedings of the 34th International Conference on Machine Learning, 2017

Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Effective Semisupervised Learning on Manifolds.

[BibT_eX]

[DOI]

Shai Shalev-Shwartz

Proceedings of the 30th Conference on Learning Theory, 2017

2016

Learning Infinite-Layer Networks: Beyond the Kernel Trick.

[BibT_eX]

[DOI]

CoRR, 2016

Learning to generalize to new compositions in image understanding.

[BibT_eX]

[DOI]

CoRR, 2016

Discriminative Learning of Infection Models.

[BibT_eX]

[DOI]

Nir Rosenfeld

Mor Nitzan

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Optimal Tagging with Markov Chain Optimization.

[BibT_eX]

[DOI]

Nir Rosenfeld

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Improper Deep Kernels.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Collective Entity Resolution with Multi-Focal Attention.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Erratum: "Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment".

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2015

Template Kernels for Dependency Parsing.

[BibT_eX]

[DOI]

Hillel Taub-Tabib

Yoav Goldberg

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

How Hard is Inference for Structured Prediction?

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2014

Tight Error Bounds for Structured Prediction.

[BibT_eX]

[DOI]

CoRR, 2014

Tightness Results for Local Consistency Relaxations in Continuous MRFs.

[BibT_eX]

[DOI]

Yoav Wald

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Lifted Message Passing as Reparametrization of Graphical Models.

[BibT_eX]

[DOI]

Martin Mladenov

Kristian Kersting

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Spectral Regularization for Max-Margin Sequence Tagging.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Inferning with High Girth Graphical Models.

[BibT_eX]

[DOI]

Uri Heinemann

Proceedings of the 31th International Conference on Machine Learning, 2014

Discrete Chebyshev Classifiers.

[BibT_eX]

[DOI]

Elad Eban

Elad Mezuman

Proceedings of the 31th International Conference on Machine Learning, 2014

Learning Structured Models with the AUC Loss and Its Generalizations.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Efficient Lifting of MAP LP Relaxations Using k-Locality.

[BibT_eX]

[DOI]

Martin Mladenov

Kristian Kersting

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Time Varying Autoregressive Moving Average Models for Covariance Estimation.

[BibT_eX]

[DOI]

Ami Wiesel

Ofir Bibi

IEEE Trans. Signal Process., 2013

Tighter Linear Program Relaxations for High Order Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Learning Max-Margin Tree Predictors.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Vanishing Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Higher Order Matching for Consistent Multiple Target Tracking.

[BibT_eX]

[DOI]

Chetan Arora

Proceedings of the IEEE International Conference on Computer Vision, 2013

Transfer Learning for Constituency-Based Grammars.

[BibT_eX]

[DOI]

Yuan Zhang

Regina Barzilay

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

A Simple Geometric Interpretation of SVM using Stochastic Adversaries.

[BibT_eX]

[DOI]

Koby Crammer

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Sufficient Dimensionality Reduction with Irrelevant Statistics

[BibT_eX]

[DOI]

Gal Chechik

CoRR, 2012

Convergence Rate Analysis of MAP Coordinate Minimization Algorithms.

[BibT_eX]

[DOI]

Ofer Meshi

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Covariance estimation in time varying ARMA processes.

[BibT_eX]

[DOI]

Ami Wiesel

Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012

Learning the Experts for Online Sequence Prediction.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Learning to Map into a Universal POS Tagset.

[BibT_eX]

[DOI]

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints.

[BibT_eX]

[DOI]

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Selective Sharing for Multilingual Dependency Parsing.

[BibT_eX]

[DOI]

Tahira Naseem

Regina Barzilay

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011

Gaussian Robust Classification

[BibT_eX]

[DOI]

Ido Ginodi

CoRR, 2011

What Cannot be Learned with Bethe Approximations.

[BibT_eX]

[DOI]

Uri Heinemann

Proceedings of the UAI 2011, 2011

An Alternating Direction Method for Dual MAP LP Relaxation.

[BibT_eX]

[DOI]

Ofer Meshi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

Learning Bayesian Network Structure using LP Relaxations.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

More data means less inference: A pseudo-max approach to structured learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Learning Efficiently with Approximate Inference via Dual Losses.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

The minimum information principle and its application to neural code analysis.

[BibT_eX]

[DOI]

Proc. Natl. Acad. Sci. USA, 2009

Convexifying the Bethe Free Energy.

[BibT_eX]

[DOI]

Proceedings of the UAI 2009, 2009

Convergent message passing algorithms - a unifying view.

[BibT_eX]

[DOI]

Talya Meltzer

Yair Weiss

Proceedings of the UAI 2009, 2009

An LP View of the M-best MAP problem.

[BibT_eX]

[DOI]

Menachem Fromer

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2008

Tightening LP Relaxations for MAP using Message Passing.

[BibT_eX]

[DOI]

Proceedings of the UAI 2008, 2008

Clusters and Coarse Partitions in LP Relaxations.

[BibT_eX]

[DOI]

David A. Sontag

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Visualizing pairwise similarity via semidefinite programming.

[BibT_eX]

[DOI]

Sam T. Roweis

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Approximate inference using conditional entropy decompositions.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Euclidean Embedding of Co-occurrence Data.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2007

Convergent Propagation Algorithms via Oriented Trees.

[BibT_eX]

[DOI]

Proceedings of the UAI 2007, 2007

Convex Learning with Invariances.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Exponentiated gradient algorithms for log-linear structured prediction.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Structured Prediction Models via the Matrix-Tree Theorem.

[BibT_eX]

[DOI]

Proceedings of the EMNLP-CoNLL 2007, 2007

2006

Discriminative Learning via Semidefinite Probabilistic Models.

[BibT_eX]

[DOI]

Koby Crammer

Proceedings of the UAI '06, 2006

Approximate inference using planar graph decomposition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Nightmare at test time: robust learning by feature deletion.

[BibT_eX]

[DOI]

Sam T. Roweis

Proceedings of the Machine Learning, 2006

Embedding Heterogeneous Data Using Statistical Models.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

2005

Information Bottleneck for Gaussian Variables.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2005

Metric Learning by Collapsing Classes.

[BibT_eX]

[DOI]

Sam T. Roweis

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Distributed Latent Variable Models of Lexical Co-occurrences.

[BibT_eX]

[DOI]

John Blitzer

Fernando Pereira

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

The Minimum Information Principle for Discriminative Learning.

[BibT_eX]

[DOI]

Proceedings of the UAI '04, 2004

2003

Sufficient Dimensionality Reduction.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2003

Sufficient Dimensionality Reduction with Irrelevance Statistics.

[BibT_eX]

[DOI]

Gal Chechik

Proceedings of the UAI '03, 2003

2002

Sufficient Dimensionality Reduction - A novel Analysis Method.

[BibT_eX]

Proceedings of the Machine Learning, 2002

Most Informative Dimension Reduction.

[BibT_eX]

[DOI]