Papers
21,849 papers found
Approximate Inference by Compilation to Arithmetic Circuits
Daniel Lowd, Pedro Domingos
Approximate inference in continuous time Gaussian-Jump processes
Manfred Opper, Andreas Ruttor, Guido Sanguinetti
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups
Sofia Mosci, Silvia Villa, Alessandro Verri et al.
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction
Tamir Hazan, Raquel Urtasun
A rational decision making framework for inhibitory control
Pradeep Shenoy, Angela J. Yu, Rajesh P. Rao
A Reduction from Apprenticeship Learning to Classification
Umar Syed, Robert E. Schapire
A Theory of Multiclass Boosting
Indraneel Mukherjee, Robert E. Schapire
Attractor Dynamics with Synaptic Depression
K. Wong, He Wang, Si Wu et al.
A unified model of short-range and long-range motion perception
Shuang Wu, Xuming He, Hongjing Lu et al.
Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting
Chris Barber, Joseph Bockhorst, Paul Roebber
A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model
Sebastian Millner, Andreas Grübl, Karlheinz Meier et al.
Avoiding False Positive in Multi-Instance Learning
Yanjun Han, Qing Tao, Jue Wang
Basis Construction from Power Series Expansions of Value Functions
Sridhar Mahadevan, Bo Liu
Batch Bayesian Optimization via Simulation Matching
Javad Azimi, Alan Fern, Xiaoli Z. Fern
Bayesian Action-Graph Games
Albert X. Jiang, Kevin Leyton-brown
b-Bit Minwise Hashing for Estimating Three-Way Similarities
Ping Li, Arnd Konig, Wenhao Gui
Beyond Actions: Discriminative Models for Contextual Group Activities
Tian Lan, Yang Wang, Weilong Yang et al.
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference
Vikas Sindhwani, Aurelie C. Lozano
Boosting Classifier Cascades
Nuno Vasconcelos, Mohammad J. Saberian
Bootstrapping Apprenticeship Learning
Abdeslam Boularias, Brahim Chaib-draa
Brain covariance selection: better individual functional connectivity models using population prior
Gael Varoquaux, Alexandre Gramfort, Jean-baptiste Poline et al.
Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations
Danial Lashkari, Ramesh Sridharan, Polina Golland
Causal discovery in multiple models from different experiments
Tom Claassen, Tom Heskes
Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm
Nathan Srebro, Ruslan Salakhutdinov
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning
Matthias Broecheler, Lise Getoor