S. V. N. Vishwanathan

According to our database1, S. V. N. Vishwanathan authored at least 114 papers between 2000 and 2019.

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Bibliography

2019
A Zero Attention Model for Personalized Product Search.
CoRR, 2019

Scaling Multinomial Logistic Regression via Hybrid Parallelism.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Whole Page Optimization with Global Constraints.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
An Efficient Bandit Algorithm for Realtime Multivariate Optimization.
CoRR, 2018

Diversifying Music Recommendations.
CoRR, 2018

Adaptive, Personalized Diversity for Visual Discovery.
CoRR, 2018

Online Learning of Combinatorial Objects via Extended Formulation.
Proceedings of the Algorithmic Learning Theory, 2018

Batch-Expansion Training: An Efficient Optimization Framework.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Colors - Messengers of Concepts: Visual Design Mining for Learning Color Semantics.
ACM Trans. Comput.-Hum. Interact., 2017

Online Dynamic Programming.
CoRR, 2017

Batch-Expansion Training: An Efficient Optimization Paradigm for Machine Learning.
CoRR, 2017

Distributed Stochastic Optimization of Regularized Risk via Saddle-Point Problem.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

An Efficient Bandit Algorithm for Realtime Multivariate Optimization.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression.
CoRR, 2016

Extended Formulation for Online Learning of Combinatorial Objects.
CoRR, 2016

BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies.
Proceedings of the 4th International Conference on Learning Representations, 2016

Nomadic Computing for Big Data Analytics.
IEEE Computer, 2016

Adaptive, Personalized Diversity for Visual Discovery.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

WordRank: Learning Word Embeddings via Robust Ranking.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
WordRank: Learning Word Embeddings via Robust Ranking.
CoRR, 2015

Totally Corrective Boosting with Cardinality Penalization.
CoRR, 2015

Colors $-$Messengers of Concepts: Visual Design Mining for Learning Color Semantics.
CoRR, 2015

A Scalable Asynchronous Distributed Algorithm for Topic Modeling.
Proceedings of the 24th International Conference on World Wide Web, 2015

A Structural Smoothing Framework For Robust Graph Comparison.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Deep Graph Kernels.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Learning visual balance from large-scale datasets of aesthetically highly rated images.
Proceedings of the Human Vision and Electronic Imaging XX, 2015

Preface.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Accelerated training of max-margin Markov networks with kernels.
Theor. Comput. Sci., 2014

NOMAD: Nonlocking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion.
PVLDB, 2014

Ranking via Robust Binary Classification and Parallel Parameter Estimation in Large-Scale Data.
CoRR, 2014

A Scalable Asynchronous Distributed Algorithm for Topic Modeling.
CoRR, 2014

The Structurally Smoothed Graphlet Kernel.
CoRR, 2014

Distributed Stochastic Optimization of the Regularized Risk.
CoRR, 2014

Modeling Attractiveness and Multiple Clicks in Sponsored Search Results.
CoRR, 2014

Ranking via Robust Binary Classification.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Juxtapoze: supporting serendipity and creative expression in clipart compositions.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

2013
Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties.
IEEE Trans. Knowl. Data Eng., 2013

NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion.
CoRR, 2013

Open Problem: Lower bounds for Boosting with Hadamard Matrices.
Proceedings of the COLT 2013, 2013

2012
Efficient max-margin multi-label classification with applications to zero-shot learning.
Machine Learning, 2012

Smoothing multivariate performance measures.
J. Mach. Learn. Res., 2012

Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

The Entire Quantile Path of a Risk-Agnostic SVM Classifier
CoRR, 2012

Efficiently Sampling Multiplicative Attribute Graphs Using a Ball-Dropping Process
CoRR, 2012

Smoothing Multivariate Performance Measures
CoRR, 2012

Fair and balanced: learning to present news stories.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Linear support vector machines via dual cached loops.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

SPF-GMKL: generalized multiple kernel learning with a million kernels.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Robust Classification with Adiabatic Quantum Optimization.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Introduction to the special issue on mining and learning with graphs.
Machine Learning, 2011

Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs
CoRR, 2011

Heat Walk: Robust Salient Segmentation of Non-rigid Shapes.
Comput. Graph. Forum, 2011

Smoothing Multivariate Performance Measures.
Proceedings of the UAI 2011, 2011

New Approximation Algorithms for Minimum Enclosing Convex Shapes.
Proceedings of the Twenty-Second Annual ACM-SIAM Symposium on Discrete Algorithms, 2011

t-divergence Based Approximate Inference.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

sLLE: Spherical locally linear embedding with applications to tomography.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Accelerated Training of Max-Margin Markov Networks with Kernels.
Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011

2010
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning.
J. Mach. Learn. Res., 2010

Graph Kernels.
J. Mach. Learn. Res., 2010

Bundle Methods for Regularized Risk Minimization.
J. Mach. Learn. Res., 2010

Regularized Risk Minimization by Nesterov's Accelerated Gradient Methods: Algorithmic Extensions and Empirical Studies
CoRR, 2010

Cooperative Autonomous Online Learning
CoRR, 2010

Faster Rates for training Max-Margin Markov Networks
CoRR, 2010

Lower Bounds on Rate of Convergence of Cutting Plane Methods.
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

Multiple Kernel Learning and the SMO Algorithm.
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

Multitask Learning without Label Correspondences.
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

t-logistic regression.
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

Large Scale Max-Margin Multi-Label Classification with Priors.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
Variable Metric Stochastic Approximation Theory.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Hash Kernels for Structured Data.
J. Mach. Learn. Res., 2009

Hash Kernels.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Efficient graphlet kernels for large graph comparison.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Lower Bounds for BMRM and Faster Rates for Training SVMs
CoRR, 2009

Efficient Approximation Algorithms for Minimum Enclosing Convex Shapes
CoRR, 2009

The Entire Quantile Path of a Risk-Agnostic SVM Classifier.
Proceedings of the UAI 2009, 2009

Tutorial summary: Survey of boosting from an optimization perspective.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Graph Kernels
CoRR, 2008

A quasi-Newton approach to non-smooth convex optimization.
Proceedings of the Machine Learning, 2008

Consistent image analogies using semi-supervised learning.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Entropy Regularized LPBoost.
Proceedings of the Algorithmic Learning Theory, 19th International Conference, 2008

2007
Fast Iterative Kernel Principal Component Analysis.
J. Mach. Learn. Res., 2007

Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes.
International Journal of Computer Vision, 2007

Bundle Methods for Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

An Efficient Sampling Scheme For Comparison of Large Graphs.
Proceedings of the Mining and Learning with Graphs, 2007

A scalable modular convex solver for regularized risk minimization.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Conditional random fields for multi-agent reinforcement learning.
Proceedings of the Machine Learning, 2007

Learning to compress images and videos.
Proceedings of the Machine Learning, 2007

Semi-Markov Models for Sequence Segmentation.
Proceedings of the EMNLP-CoNLL 2007, 2007

2006
Step Size Adaptation in Reproducing Kernel Hilbert Space.
J. Mach. Learn. Res., 2006

Kernel extrapolation.
Neurocomputing, 2006

Class Prediction from Time Series Gene Expression Profiles Using Dynamical Systems Kernels.
Proceedings of the Biocomputing 2006, 2006

Fast Computation of Graph Kernels.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Fast Iterative Kernel PCA.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

implicit Online Learning with Kernels.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Accelerated training of conditional random fields with stochastic gradient methods.
Proceedings of the Machine Learning, 2006

Fast and space efficient string kernels using suffix arrays.
Proceedings of the Machine Learning, 2006

An Online Discriminative Approach to Background Subtraction.
Proceedings of the Advanced Video and Signal Based Surveillance, 2006

2005
Boîte à outils SVM simple et rapide.
Revue d'Intelligence Artificielle, 2005

Large-Scale Multiclass Transduction.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Step size-adapted online support vector learning.
Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

Protein function prediction via graph kernels.
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005

Joint Regularization.
Proceedings of the ESANN 2005, 2005

Leaving the Span.
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005

Learnability of Probabilistic Automata via Oracles.
Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

Kernel Methods for Missing Variables.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
Binet-Cauchy Kernels.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Laplace Propagation.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

SimpleSVM.
Proceedings of the Machine Learning, 2003

2002
Fast Kernels for String and Tree Matching.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Geometric SVM: A Fast and Intuitive SVM Algorithm.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Jigsawing : A Method to Create Virtual Examples in OCR data.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002

2001
Use of Multi-category Proximal SVM for Data Set Reduction.
Proceedings of the Hybrid Information Systems, 2001

2000
Kohonen's SOM with cache.
Pattern Recognition, 2000


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