Papers
21,849 papers found
Accelerated Gradient Methods for Stochastic Optimization and Online Learning
Chonghai Hu, Weike Pan, James T. Kwok
Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models
Baback Moghaddam, Mohammad Emtiyaz Khan, Kevin P. Murphy et al.
Adapting to the Shifting Intent of Search Queries
Umar Syed, Aleksandrs Slivkins, Nina Mishra
Adaptive Design Optimization in Experiments with People
Daniel Cavagnaro, Jay Myung, Mark A. Pitt
Adaptive Regularization for Transductive Support Vector Machine
Zenglin Xu, Rong Jin, Jianke Zhu et al.
Adaptive Regularization of Weight Vectors
Koby Crammer, Alex Kulesza, Mark Dredze
A Data-Driven Approach to Modeling Choice
Vivek Farias, Srikanth Jagabathula, Devavrat Shah
A Fast, Consistent Kernel Two-Sample Test
Arthur Gretton, Kenji Fukumizu, Zaïd Harchaoui et al.
A Game-Theoretic Approach to Hypergraph Clustering
Samuel R. Bulò, Marcello Pelillo
A Gaussian Tree Approximation for Integer Least-Squares
Jacob Goldberger, Amir Leshem
A Generalized Natural Actor-Critic Algorithm
Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto et al.
A General Projection Property for Distribution Families
Yao-liang Yu, Yuxi Li, Dale Schuurmans et al.
A joint maximum-entropy model for binary neural population patterns and continuous signals
Sebastian Gerwinn, Philipp Berens, Matthias Bethge
An Additive Latent Feature Model for Transparent Object Recognition
Mario Fritz, Gary Bradski, Sergey Karayev et al.
Analysis of SVM with Indefinite Kernels
Yiming Ying, Colin Campbell, Mark Girolami
A Neural Implementation of the Kalman Filter
Robert Wilson, Leif Finkel
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism
Douglas Eck, Yoshua Bengio, Aaron C. Courville
An Integer Projected Fixed Point Method for Graph Matching and MAP Inference
Marius Leordeanu, Martial Hebert, Rahul Sukthankar
An LP View of the M-best MAP problem
Menachem Fromer, Amir Globerson
Anomaly Detection with Score functions based on Nearest Neighbor Graphs
Manqi Zhao, Venkatesh Saligrama
An Online Algorithm for Large Scale Image Similarity Learning
Gal Chechik, Uri Shalit, Varun Sharma et al.
A Parameter-free Hedging Algorithm
Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu
Approximating MAP by Compensating for Structural Relaxations
Arthur Choi, Adnan Darwiche
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields
Yang Wang, Gholamreza Haffari, Shaojun Wang et al.
A Smoothed Approximate Linear Program
Vijay Desai, Vivek Farias, Ciamac C. Moallemi