NIPS Proceedingsβ

Vikas Sindhwani

10 Papers

  • From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization (2019)
  • On Blackbox Backpropagation and Jacobian Sensing (2017)
  • Structured Transforms for Small-Footprint Deep Learning (2015)
  • Sketching Structured Matrices for Faster Nonlinear Regression (2013)
  • Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels (2011)
  • Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference (2010)
  • Regularized Co-Clustering with Dual Supervision (2008)
  • An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models (2006)
  • Branch and Bound for Semi-Supervised Support Vector Machines (2006)
  • Relational Learning with Gaussian Processes (2006)