Sixteenth International Conference on Artificial Intelligence and Statistics (AISTATS) 2013
TechTalks from event: Sixteenth International Conference on Artificial Intelligence and Statistics (AISTATS) 2013
- All Talks
- The Jeopardy! Challenge and Beyond
- Permutation estimation and minimax rates of identifiability
- Further Optimal Regret Bounds for Thompson
- Diagonal Orthant Multinomial Probit Models
- ODE parameter inference using adaptive gradient matching with Gaussian processes
- Reconstructing ecological networks with hierarchical Bayesian regression and Mondrain processes
- Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods
- Computing the M Most Probable Modes of a Graphical Model
- Estimating the Partition Function of Graphical Models Using Langevin Importance Sampling
- Geometric and Topological Inference
- A unifying representation for a class of dependent random measures
- Distribution-Free Distribution Regression
- Sparse Principal Component Analysis for High Dimensional Multivariate Time Series
- Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions
- Detecting Activations over Graphs using Spanning Tree Wavelet Bases
- Bayesian learning of joint distributions of objects
- Efficient Variational Inference for Gaussian Process Regression Networks
- Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables
- Faster Training of Structural SVMs with Diverse M-Best Cutting-Planes
- Dual Decomposition for Joint Discrete-Continuous Optimization
- Nystrom Approximation for Large-Scale Determinantal Processes
- Supervised Sequential Classification Under Budget Constraints
- Statistical Tests for Contagion in Observational Social Network Studies
- Meta-Transportability of Causal Effects: A Formal Approach
- Localization and Adaptation in Online Learning
- Uncover Topic-Sensitive Information Diffusion Networks