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All publications by Vikas Sindhwani
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Structured Transforms for Small-Footprint Deep Learning
Vikas Sindhwani, Tara Sainath and Sanjiv Kumar
Advances in Neural Information Processing Systems 28, 2015


Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
Jiyan Yang, Vikas Sindhwani, Haim Avron and Michael Mahoney
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Sketching Structured Matrices for Faster Nonlinear Regression
Haim Avron, Vikas Sindhwani and David Woodruff
Advances in Neural Information Processing Systems 26, 2013


Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization
Abhishek Kumar, Vikas Sindhwani and Prabhanjan Kambadur
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Efficient and Practical Stochastic Subgradient Descent for Nuclear Norm Regularization
Haim Avron, Satyen Kale, Vikas Sindhwani and Shiva P. Kasiviswanathan
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels
Vikas Sindhwani and Aurelie C. Lozano
Advances in Neural Information Processing Systems 24, 2011


Vector-valued Manifold Regularization
Ha Q. Minh and Vikas Sindhwani
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference
Vikas Sindhwani and Aurelie C. Lozano
Advances in Neural Information Processing Systems 23, 2010


Uncertainty sampling and transductive experimental design for active dual supervision
Vikas Sindhwani, Prem Melville and Richard D. Lawrence
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


An RKHS for multi-view learning and manifold co-regularization
Vikas Sindhwani and David S. Rosenberg
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Optimization Techniques for Semi-Supervised Support Vector Machines
Olivier Chapelle, Vikas Sindhwani and S. S. Keerthi
Journal of Machine Learning Research, 2008


Regularized Co-Clustering with Dual Supervision
Vikas Sindhwani, Jianying Hu and Aleksandra Mojsilovic
Advances in Neural Information Processing Systems 21, 2008


Deterministic annealing for semi-supervised kernel machines
Vikas Sindhwani, S. S. Keerthi and Olivier Chapelle
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Relational Learning with Gaussian Processes
Wei Chu, Vikas Sindhwani, Zoubin Ghahramani and S. S. Keerthi
Advances in Neural Information Processing Systems 19, 2006


An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models
S. S. Keerthi, Vikas Sindhwani and Olivier Chapelle
Advances in Neural Information Processing Systems 19, 2006


Branch and Bound for Semi-Supervised Support Vector Machines
Olivier Chapelle, Vikas Sindhwani and S. S. Keerthi
Advances in Neural Information Processing Systems 19, 2006


Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
Mikhail Belkin, Partha Niyogi and Vikas Sindhwani
Journal of Machine Learning Research, 2006


Beyond the point cloud: from transductive to semi-supervised learning
Vikas Sindhwani, Partha Niyogi and Mikhail Belkin
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005