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Papers (including subtopics)

Communication Efficient Distributed Machine Learning with the Parameter Server NeurIPS 2014 Communication-Efficient Distributed Optimization using an Approximate Newton-type Method ICML 2014 Community Detection via Random and Adaptive Sampling COLT 2014 Complex Activity Recognition using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video CVPR 2014 Compressed Counting Meets Compressed Sensing COLT 2014 Compressive Sensing of Signals from a GMM with Sparse Precision Matrices NeurIPS 2014 Computational Limits for Matrix Completion COLT 2014 Computing Parametric Ranking Models via Rank-Breaking ICML 2014 Concavity of reweighted Kikuchi approximation NeurIPS 2014 Concentration in unbounded metric spaces and algorithmic stability ICML 2014 Concept Drift Detection Through Resampling ICML 2014 Condensed Filter Tree for Cost-Sensitive Multi-Label Classification ICML 2014 Conditional Swap Regret and Conditional Correlated Equilibrium NeurIPS 2014 Cone-Constrained Principal Component Analysis NeurIPS 2014 Confidence Intervals and Hypothesis Testing for High-Dimensional Regression JMLR 2014 Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife JMLR 2014 Consistency of Causal Inference under the Additive Noise Model ICML 2014 Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model NeurIPS 2014 Consistency of weighted majority votes NeurIPS 2014 Consistent Binary Classification with Generalized Performance Metrics NeurIPS 2014 Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings NeurIPS 2014 Constrained convex minimization via model-based excessive gap NeurIPS 2014 Convergence rates for persistence diagram estimation in Topological Data Analysis ICML 2014 Convex Deep Learning via Normalized Kernels NeurIPS 2014 Convex Optimization Procedure for Clustering: Theoretical Revisit NeurIPS 2014