NIPS Proceedingsβ

Prateek Jain

24 Papers

  • Mixed Linear Regression with Multiple Components (2016)
  • Regret Bounds for Non-decomposable Metrics with Missing Labels (2016)
  • Selective inference for group-sparse linear models (2016)
  • Structured Sparse Regression via Greedy Hard Thresholding (2016)
  • Alternating Minimization for Regression Problems with Vector-valued Outputs (2015)
  • Predtron: A Family of Online Algorithms for General Prediction Problems (2015)
  • Robust Regression via Hard Thresholding (2015)
  • Sparse Local Embeddings for Extreme Multi-label Classification (2015)
  • Non-convex Robust PCA (2014)
  • On Iterative Hard Thresholding Methods for High-dimensional M-Estimation (2014)
  • Online and Stochastic Gradient Methods for Non-decomposable Loss Functions (2014)
  • Provable Submodular Minimization using Wolfe's Algorithm (2014)
  • Provable Tensor Factorization with Missing Data (2014)
  • Memory Limited, Streaming PCA (2013)
  • Phase Retrieval using Alternating Minimization (2013)
  • Multilabel Classification using Bayesian Compressed Sensing (2012)
  • Supervised Learning with Similarity Functions (2012)
  • Orthogonal Matching Pursuit with Replacement (2011)
  • Similarity-based Learning via Data Driven Embeddings (2011)
  • Guaranteed Rank Minimization via Singular Value Projection (2010)
  • Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning (2010)
  • Inductive Regularized Learning of Kernel Functions (2010)
  • Matrix Completion from Power-Law Distributed Samples (2009)
  • Online Metric Learning and Fast Similarity Search (2008)