Papers
8,340 papers found
Bimodal Modelling of Source Code and Natural Language
Miltos Allamanis, Daniel Tarlow, Andrew Gordon et al.
Binary Embedding: Fundamental Limits and Fast Algorithm
Xinyang Yi, Constantine Caramanis, Eric Price
Bipartite Edge Prediction via Transductive Learning over Product Graphs
Hanxiao Liu, Yiming Yang
Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization
Tyler Johnson, Carlos Guestrin
Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions
Taehoon Lee, Sungroh Yoon
Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View
Takanori Maehara, Akihiro Yabe, Ken-ichi Kawarabayashi
Cascading Bandits: Learning to Rank in the Cascade Model
Branislav Kveton, Csaba Szepesvari, Zheng Wen et al.
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components
Philipp Geiger, Kun Zhang, Bernhard Schoelkopf et al.
Celeste: Variational inference for a generative model of astronomical images
Jeffrey Regier, Andrew Miller, Jon McAuliffe et al.
Cheap Bandits
Manjesh Hanawal, Venkatesh Saligrama, Michal Valko et al.
Classification with Low Rank and Missing Data
Elad Hazan, Roi Livni, Yishay Mansour
Community Detection Using Time-Dependent Personalized PageRank
Haim Avron, Lior Horesh
Complete Dictionary Recovery Using Nonconvex Optimization
Ju Sun, Qing Qu, John Wright
Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM
Xiaojun Chang, Yi Yang, Eric Xing et al.
Compressing Neural Networks with the Hashing Trick
Wenlin Chen, James Wilson, Stephen Tyree et al.
Consistent estimation of dynamic and multi-layer block models
Qiuyi Han, Kevin Xu, Edoardo Airoldi
Consistent Multiclass Algorithms for Complex Performance Measures
Harikrishna Narasimhan, Harish Ramaswamy, Aadirupa Saha et al.
Context-based Unsupervised Data Fusion for Decision Making
Erfan Soltanmohammadi, Mort Naraghi-Pour, Mihaela Schaar
Controversy in mechanistic modelling with Gaussian processes
Benn Macdonald, Catherine Higham, Dirk Husmeier
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.
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection
Julie Nutini, Mark Schmidt, Issam Laradji et al.
Coresets for Nonparametric Estimation - the Case of DP-Means
Olivier Bachem, Mario Lucic, Andreas Krause