Papers
Analysis of Thompson Sampling for the Multi-armed Bandit Problem
Shipra Agrawal, Navin Goyal
Analyzing 3D Objects in Cluttered Images
Mohsen Hejrati, Deva Ramanan
An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling
Zhihua Zhang, Dakan Wang, Edward Chang
Ancestor Sampling for Particle Gibbs
Fredrik Lindsten, Thomas Schön, Michael I. Jordan
A Neural Autoregressive Topic Model
Hugo Larochelle, Stanislas Lauly
Angular Quantization-based Binary Codes for Fast Similarity Search
Yunchao Gong, Sanjiv Kumar, Vishal Verma et al.
An Improved GLMNET for L1-regularized Logistic Regression
Guo-Xun Yuan, Chia-Hua Ho, Chih-Jen Lin
An Introduction to Artificial Prediction Markets for Classification
Adrian Barbu, Nathan Lay
An Object-Based Approach to Map Human Hand Synergies onto Robotic Hands with Dissimilar Kinematics
Guido Gioioso, Gionata Salvietti, Monica Malvezzi et al.
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