Papers

4,025 papers found
Transfer Learning on fMRI Datasets
Hejia Zhang, Po-Hsuan Chen, Peter Ramadge
2018 AISTATS
2018 AISTATS
Turing: A Language for Flexible Probabilistic Inference
Hong Ge, Kai Xu, Zoubin Ghahramani
2018 AISTATS
VAE with a VampPrior
Jakub Tomczak, Max Welling
2018 AISTATS
Variational Inference based on Robust Divergences
Futoshi Futami, Issei Sato, Masashi Sugiyama
2018 AISTATS
2018 AISTATS
Variational Rejection Sampling
Aditya Grover, Ramki Gummadi, Miguel Lazaro-Gredilla et al.
2018 AISTATS
Variational Sequential Monte Carlo
Christian Naesseth, Scott Linderman, Rajesh Ranganath et al.
2018 AISTATS
2018 AISTATS
Why Adaptively Collected Data Have Negative Bias and How to Correct for It
Xinkun Nie, Xiaoying Tian, Jonathan Taylor et al.
2018 AISTATS
2017 AISTATS
Adaptive ADMM with Spectral Penalty Parameter Selection
Zheng Xu, Mario Figueiredo, Tom Goldstein
2017 AISTATS
A Learning Theory of Ranking Aggregation
Anna Korba, Stéphan Clemencon, Eric Sibony
2017 AISTATS
A Maximum Matching Algorithm for Basis Selection in Spectral Learning
Ariadna Quattoni, Xavier Carreras, Matthias Gallé
2017 AISTATS
2017 AISTATS
Annular Augmentation Sampling
Francois Fagan, Jalaj Bhandari, John Cunningham
2017 AISTATS
Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere
Albert Thomas, Stéphan Clemencon, Alexandre Gramfort et al.
2017 AISTATS
ASAGA: Asynchronous Parallel SAGA
Rémi Leblond, Fabian Pedregosa, Simon Lacoste-Julien
2017 AISTATS