AABI Submissions

Towards Hierarchical Discrete Variational Autoencoders
Valentin Liévin, Andrea Dittadi, Lars Maaløe, Ole Winther
- 16 Oct 2019 (modified: 26 Aug 2020)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Neural Tangents: Fast and Easy Infinite Neural Networks in Python
Roman Novak, Lechao Xiao, Jiri Hron, Jaehoon Lee, Alexander A. Alemi, Jascha Sohl-Dickstein, Samuel S. Schoenholz
- 16 Oct 2019 (modified: 31 Jan 2020)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Scalable Gradients and Variational Inference for Stochastic Differential Equations
Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David K. Duvenaud
- 16 Oct 2019 (modified: 27 Jan 2020)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs
Robert Walecki, Kostis Gourgoulias, Adam Baker, Chris Hart, Chris Lucas, Max Zwiessele, Albert Buchard, Maria Lomeli, Yura Perov, Saurabh Johri
- 15 Oct 2019 (modified: 17 Jan 2020)
- AABI 2019 Symposium Submission
- Readers: Everyone
Sinkhorn Permutation Variational Marginal Inference
Gonzalo Mena, Erdem Varol, Amin Nejatbakhsh, Eviatar Yemini, Liam Paninski
- 16 Oct 2019 (modified: 10 Jan 2020)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Meta-Learning for Variational Inference
Ruqi Zhang, Yingzhen Li, Chris De Sa, Sam Devlin, Cheng Zhang
- 16 Oct 2019 (modified: 04 Jan 2020)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Sparse Orthogonal Variational Inference for Gaussian Processes
Jiaxin Shi, Michalis Titsias, Andriy Mnih
- 16 Oct 2019 (modified: 24 Dec 2019)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Structured Semi-Implicit Variational Inference
Iuliia Molchanova, Dmitry Molchanov, Novi Quadrianto, Dmitry Vetrov
- 16 Oct 2019 (modified: 16 Dec 2019)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Arbitrarily-conditioned Data Imputation
Micael Carvalho, Thibaut Durand, Jiawei He, Nazanin Mehrasa, Greg Mori
- 16 Oct 2019 (modified: 15 Dec 2019)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Bijectors.jl: Flexible transformations for probability distributions
Tor Erlend Fjelde, Kai Xu, Mohamed Tarek, Sharan Yalburgi, Hong Ge
- 16 Oct 2019 (modified: 15 Dec 2019)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Exchangeable Variational Autoencoders with Applications to Genomic Data
Jeffrey Chan, Jeffrey Spence, and Yun Song
- 16 Oct 2019 (modified: 15 Dec 2019)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
AdvancedHMC.jl: A robust, modular and efficient implementation of advanced HMC algorithms
Kai Xu, Hong Ge, Will Tebbutt, Mohamed Tarek, Martin Trapp, Zoubin Ghahramani
- 16 Oct 2019 (modified: 15 Dec 2019)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Optimal Transport for Distribution Adaptation in Bayesian Hilbert Maps
Anthony Tompkins, Ransalu Senanayake, Fabio Ramos
- 16 Oct 2019 (modified: 15 Dec 2019)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Distributional Bayesian optimisation for variational inference on black-box simulators
Rafael Oliveira, Lionel Ott, Fabio Ramos
- 16 Oct 2019 (modified: 15 Dec 2019)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models
Yucen Luo, Alex Beatson, Mohammad Norouzi, Jun Zhu, David Duvenaud, Ryan P. Adams, Ricky T. Q. Chen
- 16 Oct 2019 (modified: 15 Dec 2019)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Spectral Mixture Kernel Approximation Using Reparameterized Random Fourier Feature
Yohan Jung, Jinkyoo Park
- 16 Oct 2019 (modified: 15 Dec 2019)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Rapid Model Comparison by Amortizing Across Models
Lily H. Zhang, Michael C. Hughes
- 16 Oct 2019 (modified: 15 Dec 2019)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Benchmarking the Neural Linear Model for Regression
Sebastian W. Ober, Carl E. Rasmussen
- 16 Oct 2019 (modified: 14 Dec 2019)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Bayesian Model Selection for Identifying Markov Equivalent Causal Graphs
Mehmet Burak Kurutmaz, Melih Barsbey, Ali Taylan Cemgil, Sinan Yıldırım, Umut Şimşekli
- 16 Oct 2019 (modified: 14 Dec 2019)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Variationally Inferred Sampling Through a Refined Bound
Victor Gallego, David Rios Insua
- 16 Oct 2019 (modified: 14 Dec 2019)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Approximate Inference for Fully Bayesian Gaussian Process Regression
Vidhi Lalchand, Carl Edward Rasmussen
- 16 Oct 2019 (modified: 14 Dec 2019)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Gaussian Process Meta-Representations For Hierarchical Neural Network Weight Priors
Theofanis Karaletsos, Thang D. Bui
- 16 Oct 2019 (modified: 14 Dec 2019)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Interpretable User Models via Decision-rule Gaussian Processes: Preliminary Results on Energy Storage
Danial Mohseni-Taheri, Selvaprabu Nadarajah, Theja Tulabandhula
- 16 Oct 2019 (modified: 13 Dec 2019)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Normalizing Constant Estimation with Gaussianized Bridge Sampling
He Jia, Uros Seljak
- 16 Oct 2019 (modified: 13 Dec 2019)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone
Latent Variable Session-Based Recommendation
Stephen Bonner, David Rohde
- 16 Oct 2019 (modified: 12 Dec 2019)
- AABI 2019 Symposium Blind Submission
- Readers: Everyone