firstbacksecondback
79 Results
Spotlight
|
Tue 14:10 |
Principal Component Flows Edmond Cunningham · Adam Cobb · Susmit Jha |
|
Poster
|
Tue 15:30 |
Principal Component Flows Edmond Cunningham · Adam Cobb · Susmit Jha |
|
Spotlight
|
Wed 8:00 |
Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows Feynman Liang · Michael Mahoney · Liam Hodgkinson |
|
Oral
|
Tue 13:45 |
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness Adam Foster · Arpi Vezer · Craig Glastonbury · Páidí Creed · Sam Abujudeh · Aaron Sim |
|
Poster
|
Wed 15:30 |
Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows Feynman Liang · Michael Mahoney · Liam Hodgkinson |
|
Spotlight
|
Wed 8:35 |
Variational Inference with Locally Enhanced Bounds for Hierarchical Models Tomas Geffner · Justin Domke |
|
Poster
|
Wed 15:30 |
Variational Inference with Locally Enhanced Bounds for Hierarchical Models Tomas Geffner · Justin Domke |
|
Poster
|
Tue 15:30 |
Path-Gradient Estimators for Continuous Normalizing Flows Lorenz Vaitl · Kim A. Nicoli · Shinichi Nakajima · Pan Kessel |
|
Poster
|
Wed 15:30 |
Easy Variational Inference for Categorical Models via an Independent Binary Approximation Michael Wojnowicz · Shuchin Aeron · Eric Miller · Michael Hughes |
|
Spotlight
|
Wed 10:45 |
Easy Variational Inference for Categorical Models via an Independent Binary Approximation Michael Wojnowicz · Shuchin Aeron · Eric Miller · Michael Hughes |
|
Spotlight
|
Wed 8:10 |
Structured Stochastic Gradient MCMC Antonios Alexos · Alex Boyd · Stephan Mandt |
|
Poster
|
Wed 15:30 |
Structured Stochastic Gradient MCMC Antonios Alexos · Alex Boyd · Stephan Mandt |