Papers
173,579 papers found
A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views
Donglin Niu, Jennifer Dy, Zoubin Ghahramani
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function
Pedro Ortega, Jordi Grau-moya, Tim Genewein et al.
A nonparametric variable clustering model
Konstantina Palla, Zoubin Ghahramani, David A. Knowles
A Note on Metric Properties for Some Divergence Measures: The Gaussian Case
Karim T. Abou-Moustafa, Frank P. Ferrie
A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling
Pieter-jan Kindermans, Hannes Verschore, David Verstraeten et al.
A Polylog Pivot Steps Simplex Algorithm for Classification
Elad Hazan, Zohar Karnin
A Polynomial-time Form of Robust Regression
Yao-liang Yu, Özlem Aslan, Dale Schuurmans
Approximate Inference by Intersecting Semidefinite Bound and Local Polytope
Jian Peng, Tamir Hazan, Nathan Srebro et al.
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation
J. Zico Kolter, Tommi Jaakkola
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning
Ulugbek Kamilov, Sundeep Rangan, Michael Unser et al.
Approximating Concavely Parameterized Optimization Problems
Joachim Giesen, Jens Mueller, Soeren Laue et al.
Approximating Equilibria in Sequential Auctions with Incomplete Information and Multi-Unit Demand
Amy Greenwald, Jiacui Li, Eric Sodomka
A Primal-Dual Convergence Analysis of Boosting
Matus Telgarsky
A quasi-Newton proximal splitting method
Stephen Becker, Jalal Fadili
A Ranking-based KNN Approach for Multi-Label Classification
Tsung-Hsien Chiang, Hung-Yi Lo, Shou-De Lin
A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound
Shusen Wang, Zhihua Zhang
A Simple and Practical Algorithm for Differentially Private Data Release
Moritz Hardt, Katrina Ligett, Frank Mcsherry
A Simple Geometric Interpretation of SVM using Stochastic Adversaries
Roi Livni, Koby Crammer, Amir Globerson
A Spectral Algorithm for Latent Dirichlet Allocation
Anima Anandkumar, Dean P. Foster, Daniel J. Hsu et al.
Assessing Blinding in Clinical Trials
Ognjen Arandjelovic
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
Mohammad Khan, Shakir Mohamed, Benjamin Marlin et al.
A Stochastic Bandit Algorithm for Scratch Games
Raphaël Féraud, Tanguy Urvoy
A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets
Nicolas L. Roux, Mark Schmidt, Francis R. Bach
Asymptotically-optimal Path Planning on Manifolds
Leonard Jaillet, Josep Porta
A systematic approach to extracting semantic information from functional MRI data
Francisco Pereira, Matthew Botvinick