papers
Publications (11)
cs.LG2014
Sequential Model-Based Ensemble Optimization
Alexandre Lacoste, Hugo Larochelle, François Laviolette +1
cs.LG2019
TADAM: Task dependent adaptive metric for improved few-shot learning
Boris N. Oreshkin, Pau Rodriguez, Alexandre Lacoste
stat.ML2018
Uncertainty in Multitask Transfer Learning
Alexandre Lacoste, Boris Oreshkin, Wonchang Chung +3
cs.LG2019
Hierarchical Importance Weighted Autoencoders
Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane +2
cs.LG2018
Neural Autoregressive Flows
Chin-Wei Huang, David Krueger, Alexandre Lacoste +1
cs.CL2017
WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia
Daniel Hewlett, Alexandre Lacoste, Llion Jones +5
cs.CL2017
Hierarchical Question Answering for Long Documents
Eunsol Choi, Daniel Hewlett, Alexandre Lacoste +3
stat.ML2017
Deep Prior
Alexandre Lacoste, Thomas Boquet, Negar Rostamzadeh +3
stat.ML2017
PAC-Bayesian Theory Meets Bayesian Inference
Pascal Germain, Francis Bach, Alexandre Lacoste +1
cs.LG2018
Improving Explorability in Variational Inference with Annealed Variational Objectives
Chin-Wei Huang, Shawn Tan, Alexandre Lacoste +1
stat.ML2018
Bayesian Hypernetworks
David Krueger, Chin-Wei Huang, Riashat Islam +3