Papers
176,624 papers found
Convergence Analysis of Prediction Markets via Randomized Subspace Descent
Rafael Frongillo, Mark D. Reid
Convergence Rates for Persistence Diagram Estimation in Topological Data Analysis
Frédéric Chazal, Marc Glisse, Catherine Labruère et al.
Convergence Rates of Active Learning for Maximum Likelihood Estimation
Kamalika Chaudhuri, Sham M. Kakade, Praneeth Netrapalli et al.
Convergence rates of sub-sampled Newton methods
Murat A Erdogdu, Andrea Montanari
Convex Calibrated Surrogates for Hierarchical Classification
Harish Ramaswamy, Ambuj Tewari, Shivani Agarwal
Convex Formulation for Learning from Positive and Unlabeled Data
Marthinus Du Plessis, Gang Niu, Masashi Sugiyama
Convex Learning of Multiple Tasks and their Structure
Carlo Ciliberto, Youssef Mroueh, Tomaso Poggio et al.
Convex Multi-Task Learning by Clustering
Aviad Barzilai, Koby Crammer
Convex Optimization With Abstract Linear Operators
Steven Diamond, Stephen Boyd
Convex Risk Minimization and Conditional Probability Estimation
Matus Telgarsky, Miroslav Dudík, Robert Schapire
Convolutional Channel Features
Bin Yang, Junjie Yan, Zhen Lei et al.
Convolutional Color Constancy
Jonathan T. Barron
Convolutional Feature Masking for Joint Object and Stuff Segmentation
Jifeng Dai, Kaiming He, Jian Sun
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian SHI, Zhourong Chen, Hao Wang et al.
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David K. Duvenaud, Dougal Maclaurin, Jorge Iparraguirre et al.
Convolutional Neural Networks at Constrained Time Cost
Kaiming He, Jian Sun
Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling
Ming Liang, Xiaolin Hu, Bo Zhang
Convolutional Sparse Coding for Image Super-Resolution
Shuhang Gu, Wangmeng Zuo, Qi Xie et al.
Convolutional spike-triggered covariance analysis for neural subunit models
Anqi Wu, ll Memming Park, Jonathan W Pillow
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection
Julie Nutini, Mark Schmidt, Issam Laradji et al.
Copeland Dueling Bandits
Masrour Zoghi, Zohar S Karnin, Shimon Whiteson et al.
Copula variational inference
Dustin Tran, David Blei, Edoardo M. Airoldi
Coresets for Nonparametric Estimation - the Case of DP-Means
Olivier Bachem, Mario Lucic, Andreas Krause
Cornering Stationary and Restless Mixing Bandits with Remix-UCB
Julien Audiffren, Liva Ralaivola