Papers
An analysis on negative curvature induced by singularity in multi-layer neural-network learning
Eiji Mizutani, Stuart Dreyfus
An Approximate Inference Approach to Temporal Optimization in Optimal Control
Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar
A New Probabilistic Model for Rank Aggregation
Tao Qin, Xiubo Geng, Tie-yan Liu
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
Matthias Hein, Thomas Bühler
A novel family of non-parametric cumulative based divergences for point processes
Sohan Seth, Park Il, Austin Brockmeier et al.
A Novel Kernel for Learning a Neuron Model from Spike Train Data
Nicholas Fisher, Arunava Banerjee
A POMDP Extension with Belief-dependent Rewards
Mauricio Araya, Olivier Buffet, Vincent Thomas et al.
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