NIPS Proceedingsβ

Inderjit S. Dhillon

22 Papers

  • Asynchronous Parallel Greedy Coordinate Descent (2016)
  • Coordinate-wise Power Method (2016)
  • Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain (2016)
  • Mixed Linear Regression with Multiple Components (2016)
  • Structured Sparse Regression via Greedy Hard Thresholding (2016)
  • Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction (2016)
  • Collaborative Filtering with Graph Information: Consistency and Scalable Methods (2015)
  • Consistent Multilabel Classification (2015)
  • Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial (2015)
  • Matrix Completion with Noisy Side Information (2015)
  • Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent (2015)
  • Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs (2014)
  • Consistent Binary Classification with Generalized Performance Metrics (2014)
  • Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings (2014)
  • Fast Prediction for Large-Scale Kernel Machines (2014)
  • Multi-Scale Spectral Decomposition of Massive Graphs (2014)
  • Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators (2014)
  • QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models (2014)
  • Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space (2014)
  • BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables (2013)
  • Large Scale Distributed Sparse Precision Estimation (2013)
  • Learning with Noisy Labels (2013)