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15 Results

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Poster
Mon 18:30 Trimmed Density Ratio Estimation
Song Liu · Akiko Takeda · Taiji Suzuki · Kenji Fukumizu
Poster
Wed 18:30 On the Consistency of Quick Shift
Heinrich Jiang
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 Convergence rates of a partition based Bayesian multivariate density estimation method
Linxi Liu · Dangna Li · Wing Hung Wong
Poster
Tue 18:30 The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities
Arun Suggala · Mladen Kolar · Pradeep Ravikumar
Poster
Mon 18:30 A Bayesian Data Augmentation Approach for Learning Deep Models
Toan Tran · Trung Pham · Gustavo Carneiro · Lyle Palmer · Ian Reid
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
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