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Poster
Wed 18:30 On the Consistency of Quick Shift
Heinrich Jiang
Poster
Mon 18:30 Trimmed Density Ratio Estimation
Song Liu ⋅ Akiko Takeda ⋅ Taiji Suzuki ⋅ Kenji Fukumizu
Poster
Tue 18:30 Learning Populations of Parameters
Kevin Tian ⋅ Weihao Kong ⋅ Gregory Valiant
Workshop
Fri 10:05 David Sontag (MIT) on Representation Learning for Extreme Multi-class Classification & Density Estimation
Poster
Tue 18:30 The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities
Arun Suggala ⋅ Mladen Kolar ⋅ Pradeep Ravikumar
Poster
Tue 18:30 Convergence rates of a partition based Bayesian multivariate density estimation method
Linxi Liu ⋅ Dangna Li ⋅ Wing Hung Wong
Poster
Mon 18:30 Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models
Chris Oates ⋅ Steven Niederer ⋅ Angela Lee ⋅ François-Xavier Briol ⋅ Mark Girolami
Poster
Mon 18:30 Flexible statistical inference for mechanistic models of neural dynamics
Jan-Matthis Lueckmann ⋅ Pedro Goncalves ⋅ Giacomo Bassetto ⋅ Kaan Öcal ⋅ Marcel Nonnenmacher ⋅ Jakob H Macke
Poster
Mon 18:30 A Bayesian Data Augmentation Approach for Learning Deep Models
Toan Tran ⋅ Trung Pham ⋅ Gustavo Carneiro ⋅ Lyle Palmer ⋅ Ian Reid
Oral
Thu 11:10 Masked Autoregressive Flow for Density Estimation
George Papamakarios ⋅ Iain Murray ⋅ Theo Pavlakou
Poster
Wed 18:30 Masked Autoregressive Flow for Density Estimation
George Papamakarios ⋅ Iain Murray ⋅ Theo Pavlakou
Poster
Wed 18:30 Dual Discriminator Generative Adversarial Nets
Tu Nguyen ⋅ Trung Le ⋅ Hung Vu ⋅ Dinh Phung