[edit]
AISTATS Conference Schedule
Poster Session III, Saturday May 15
Contributed PostersPosters from Breaking-News Abstracts
Contributed Posters
Reducing Label Complexity by Learning From Bags
S. Sabato, N. Srebro and N. Tishby [abs] [pdf] |
Conditional Density Estimation via Least-Squares Density Ratio Estimation
M. Sugiyama, I. Takeuchi, T. Suzuki, T. Kanamori, H. Hachiya and D. Okanohara [abs] [pdf] |
Convexity of Proper Composite Binary Losses
M. Reid and R. Williamson [abs] [pdf] |
Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries
S. Guo and S. Sanner [abs] [pdf] |
Unsupervised Aggregation for Classification Problems with Large Numbers of Categories
I. Titov, A. Klementiev, K. Small and D. Roth [abs] [pdf] |
Contextual Multi-Armed Bandits
T. Lu, D. Pal and M. Pal [abs] [pdf] [supplementary] |
A Potential-based Framework for Online Multi-class Learning with Partial Feedback
S. Wang, R. Jin and H. Valizadegan [abs] [pdf] |
Regret Bounds for Gaussian Process Bandit Problems
S. Grünewälder, J. Audibert, M. Opper and J. Shawe–Taylor [abs] [pdf] |
Active Sequential Learning with Tactile Feedback
H. Saal, J. Ting and S. Vijayakumar [abs] [pdf] [supplementary] |
A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra
J. Won Yoon, S. Wilson and K. Hun Mok [abs] [pdf] |
Optimal Allocation Strategies for the Dark Pool Problem
A. Agarwal, P. Bartlett and M. Dama [abs] [pdf] |
Multitask Learning for Brain-Computer Interfaces
M. Alamgir, M. Grosse–Wentrup and Y. Altun [abs] [pdf] |
An Alternative Prior Process for Nonparametric Bayesian Clustering
H. Wallach, S. Jensen, L. Dicker and K. Heller [abs] [pdf] [supplementary] |
Matrix-Variate Dirichlet Process Mixture Models
Z. Zhang, G. Dai and M. Jordan [abs] [pdf] |
Dependent Indian Buffet Processes
S. Williamson, P. Orbanz and Z. Ghahramani [abs] [pdf] |
Posterior distributions are computable from predictive distributions
C. Freer and D. Roy [abs] [pdf] |
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection
S. Pandolfi, F. Bartolucci and N. Friel [abs] [pdf] |
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures
Y. Ulker, B. Günsel and T. Cemgil [abs] [pdf] |
Learning Bayesian Network Structure using LP Relaxations
T. Jaakkola, D. Sontag, A. Globerson and M. Meila [abs] [pdf] |
Bayesian structure discovery in Bayesian networks with less space
P. Parviainen and M. Koivisto [abs] [pdf] |
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks
N. Slavov [abs] [pdf] |
Simple Exponential Family PCA
J. Li and D. Tao [abs] [pdf] |
Locally Linear Denoising on Image Manifolds
D. Gong, F. Sha and G. Medioni [abs] [pdf] |
Supervised Dimension Reduction Using Bayesian Mixture Modeling
K. Mao, F. Liang and S. Mukherjee [abs] [pdf] |
Hartigan's Method: k-means Clustering without Voronoi
M. Telgarsky and A. Vattani [abs] [pdf] |
Towards Understanding Situated Natural Language
A. Bordes, N. Usunier, R. Collobert and J. Weston [abs] [pdf] |
Discriminative Topic Segmentation of Text and Speech
M. Mohri, P. Moreno and E. Weinstein [abs] [pdf] |
State-Space Inference and Learning with Gaussian Processes
R. Turner, M. Deisenroth and C. Rasmussen [abs] [pdf] |
Model-Free Monte Carlo-like Policy Evaluation
R. Fonteneau, S. Murphy, L. Wehenkel and D. Ernst [abs] [pdf] |
Variational methods for Reinforcement Learning
T. Furmston and D. Barber [abs] [pdf] |
Efficient Learning of Deep Boltzmann Machines
R. Salakhutdinov and H. Larochelle [abs] [pdf] |
Inductive Principles for Restricted Boltzmann Machine Learning
B. Marlin, K. Swersky, B. Chen and N. de Freitas [abs] [pdf] |
Why Does Unsupervised Pre-training Help Deep Learning?
D. Erhan, A. Courville, Y. Bengio and P. Vincent [abs] [pdf] |
Parallelizable Sampling of Markov Random Fields
J. Martens and I. Sutskever [abs] [pdf] |
Posters from Breaking-News Abstracts
Nested sampling and the foundations of computational inference
J. Skilling |
Analysis of finite sample effects in compressed Fisher's LDA
R.J. Durrant and A. Kaban |
Optimal rates for conjugate gradient regularization
G. Blanchard and N. Kramer |
How to save feature extraction time for fast and robust classification?
J. Louradour and C. Kermorvant |
Greedy learning of binary latent trees
S. Narmeling and C.K.I. Williams |
Bayesian spatial models for hospital recruitment using integrated nested Laplace approximation
M. Musio, E.-A. Sauleau and V. Mameli |
Estimating the contribution of non-genetic factors to gene expression using GP-LVM
N. Fusi and N. Lawrence |
Drifting linear dynamics
T. Raiko, A. Ilin, N. Korsakova, E. Oja and L. Valpola |
Likelihood unimodality of a state-space model with point process observations
K. Yuan and M. Niranjan |
Learning the iHMM through iterative map-reduce
S. Bratieres, J. van Gael, A. Vlachos and Z. Ghahramani |
Classification of functional data: a weighted distance approach
A.M. Alonso, D. Casado and J.J. Romo |