Papers
8,340 papers found
Demystifying Information-Theoretic Clustering
Greg Ver Steeg, Aram Galstyan, Fei Sha et al.
Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search
Anshumali Shrivastava, Ping Li
Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes
E. Busra Celikkaya, Christian Shelton
Deterministic Policy Gradient Algorithms
David Silver, Guy Lever, Nicolas Heess et al.
Diagnosis determination: decision trees optimizing simultaneously worst and expected testing cost
Ferdinando Cicalese, Eduardo Laber, Aline Medeiros Saettler
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning
François Denis, Mattias Gybels, Amaury Habrard
Discovering Latent Network Structure in Point Process Data
Scott Linderman, Ryan Adams
Discrete Chebyshev Classifiers
Elad Eban, Elad Mezuman, Amir Globerson
Discriminative Features via Generalized Eigenvectors
Nikos Karampatziakis, Paul Mineiro
Distributed Representations of Sentences and Documents
Quoc Le, Tomas Mikolov
Distributed Stochastic Gradient MCMC
Sungjin Ahn, Babak Shahbaba, Max Welling
Doubly Stochastic Variational Bayes for non-Conjugate Inference
Michalis Titsias, Miguel Lázaro-Gredilla
Dual Query: Practical Private Query Release for High Dimensional Data
Marco Gaboardi, Emilio Jesus Gallego Arias, Justin Hsu et al.
Dynamic Programming Boosting for Discriminative Macro-Action Discovery
Leonidas Lefakis, Francois Fleuret
Effective Bayesian Modeling of Groups of Related Count Time Series
Nicolas Chapados
Efficient Algorithms for Robust One-bit Compressive Sensing
Lijun Zhang, Jinfeng Yi, Rong Jin
Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function
Yong Liu, Shali Jiang, Shizhong Liao
Efficient Continuous-Time Markov Chain Estimation
Monir Hajiaghayi, Bonnie Kirkpatrick, Liangliang Wang et al.
Efficient Dimensionality Reduction for High-Dimensional Network Estimation
Safiye Celik, Benjamin Logsdon, Su-In Lee
Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets
Diederik Kingma, Max Welling
Efficient Label Propagation
Yasuhiro Fujiwara, Go Irie
Efficient Learning of Mahalanobis Metrics for Ranking
Daryl Lim, Gert Lanckriet
Elementary Estimators for High-Dimensional Linear Regression
Eunho Yang, Aurelie Lozano, Pradeep Ravikumar
Elementary Estimators for Sparse Covariance Matrices and other Structured Moments
Eunho Yang, Aurelie Lozano, Pradeep Ravikumar
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data
Naiyan Wang, Dit-Yan Yeung