Papers
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
James Lucas, George Tucker, Roger B Grosse et al.
Adversarial Fisher Vectors for Unsupervised Representation Learning
Shuangfei Zhai, Walter Talbott, Carlos Guestrin et al.
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness
Andrey Malinin, Mark Gales
Backpropagation-Friendly Eigendecomposition
Wei Wang, Zheng Dang, Yinlin Hu et al.
Direct Estimation of Differential Functional Graphical Models
Boxin Zhao, Y. Samuel Wang, Mladen Kolar
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI
Roman Beliy, Guy Gaziv, Assaf Hoogi et al.
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond
Xuechen Li, Yi Wu, Lester Mackey et al.
Learning Hierarchical Priors in VAEs
Alexej Klushyn, Nutan Chen, Richard Kurle et al.
Dancing to Music
Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu et al.
Policy Evaluation with Latent Confounders via Optimal Balance
Andrew Bennett, Nathan Kallus
Sparse Variational Inference: Bayesian Coresets from Scratch
Trevor Campbell, Boyan Beronov
Partitioning Structure Learning for Segmented Linear Regression Trees
Xiangyu Zheng, Song Xi Chen
Embedding Symbolic Knowledge into Deep Networks
Yaqi Xie, Ziwei Xu, Mohan S Kankanhalli et al.
Reconciling meta-learning and continual learning with online mixtures of tasks
Ghassen Jerfel, Erin Grant, Tom Griffiths et al.
Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases
Xiyang Liu, Sewoong Oh
Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions
Ashia C Wilson, Lester Mackey, Andre Wibisono
Sobolev Independence Criterion
Youssef Mroueh, Tom Sercu, Mattia Rigotti et al.
Structured Prediction with Projection Oracles
Mathieu Blondel
Hierarchical Decision Making by Generating and Following Natural Language Instructions
Hengyuan Hu, Denis Yarats, Qucheng Gong et al.
Faster width-dependent algorithm for mixed packing and covering LPs
Digvijay Boob, Saurabh Sawlani, Di Wang
Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces
Chuan Guo, Ali Mousavi, Xiang Wu et al.
Uncertainty on Asynchronous Time Event Prediction
Marin Biloš, Bertrand Charpentier, Stephan Günnemann
Transfer Anomaly Detection by Inferring Latent Domain Representations
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
Offline Contextual Bayesian Optimization
Ian Char, Youngseog Chung, Willie Neiswanger et al.
Logarithmic Regret for Online Control
Naman Agarwal, Elad Hazan, Karan Singh