Papers
Bayesian Hierarchical Reinforcement Learning
Feng Cao, Soumya Ray
Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification
Yung-kyun Noh, Frank Park, Daniel D. Lee
Active Learning of Model Evidence Using Bayesian Quadrature
Michael Osborne, Roman Garnett, Zoubin Ghahramani et al.
Spiking and saturating dendrites differentially expand single neuron computation capacity
Romain Cazé, Mark Humphries, Boris S. Gutkin
Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison
Tianbao Yang, Yu-feng Li, Mehrdad Mahdavi et al.
Entropy Estimations Using Correlated Symmetric Stable Random Projections
Ping Li, Cun-hui Zhang
Structured Learning of Gaussian Graphical Models
Karthik Mohan, Mike Chung, Seungyeop Han et al.
How Prior Probability Influences Decision Making: A Unifying Probabilistic Model
Yanping Huang, Timothy Hanks, Mike Shadlen et al.
The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes
Simon Lyons, Amos J. Storkey, Simo Särkkä
Co-Regularized Hashing for Multimodal Data
Yi Zhen, Dit-Yan Yeung
Hamming Distance Metric Learning
Mohammad Norouzi, David J Fleet, Ruslan Salakhutdinov
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation
Aaron Defazio, Tibério S. Caetano
Localizing 3D cuboids in single-view images
Jianxiong Xiao, Bryan Russell, Antonio Torralba
Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button
Joan Fruitet, Alexandra Carpentier, Maureen Clerc et al.
Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions
Alekh Agarwal, Sahand Negahban, Martin J. Wainwright
Discriminative Learning of Sum-Product Networks
Robert Gens, Pedro Domingos
Efficient and direct estimation of a neural subunit model for sensory coding
Brett Vintch, Andrew Zaharia, J Movshon et al.
Inverse Reinforcement Learning through Structured Classification
Edouard Klein, Matthieu Geist, Bilal Piot et al.
Relax and Randomize : From Value to Algorithms
Sasha Rakhlin, Ohad Shamir, Karthik Sridharan
Learning with Partially Absorbing Random Walks
Xiao-ming Wu, Zhenguo Li, Anthony M. So et al.
On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking
Clément Calauzènes, Nicolas Usunier, Patrick Gallinari
Identifiability and Unmixing of Latent Parse Trees
Daniel J. Hsu, Sham M. Kakade, Percy Liang
Fast Variational Inference in the Conjugate Exponential Family
James Hensman, Magnus Rattray, Neil D. Lawrence
Phoneme Classification using Constrained Variational Gaussian Process Dynamical System
Hyunsin Park, Sungrack Yun, Sanghyuk Park et al.