Papers
Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes
Linfeng Liu, Liping Liu
Analysis of Network Lasso for Semi-Supervised Regression
Alexander Jung, Natalia Vesselinova
A new evaluation framework for topic modeling algorithms based on synthetic corpora
Hanyu Shi, Martin Gerlach, Isabel Diersen et al.
An Online Algorithm for Smoothed Regression and LQR Control
Gautam Goel, Adam Wierman
An Optimal Algorithm for Stochastic and Adversarial Bandits
Julian Zimmert, Yevgeny Seldin
An Optimal Algorithm for Stochastic Three-Composite Optimization
Renbo Zhao, William B. Haskell, Vincent Y. F. Tan
An Optimal Control Approach to Sequential Machine Teaching
Laurent Lessard, Xuezhou Zhang, Xiaojin Zhu
A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects
Daniel Malinsky, Ilya Shpitser, Thomas Richardson
A recurrent Markov state-space generative model for sequences
Anand Ramachandran, Steve Lumetta, Eric Klee et al.
Are we there yet? Manifold identification of gradient-related proximal methods
Yifan Sun, Halyun Jeong, Julie Nutini et al.
A Robust Zero-Sum Game Framework for Pool-based Active Learning
Dixian Zhu, Zhe Li, Xiaoyu Wang et al.
A Stein–Papangelou Goodness-of-Fit Test for Point Processes
Jiasen Yang, Vinayak Rao, Jennifer Neville
A Swiss Army Infinitesimal Jackknife
Ryan Giordano, William Stephenson, Runjing Liu et al.
A Thompson Sampling Algorithm for Cascading Bandits
Wang Chi Cheung, Vincent Tan, Zixin Zhong
A Topological Regularizer for Classifiers via Persistent Homology
Chao Chen, Xiuyan Ni, Qinxun Bai et al.
Attenuating Bias in Word vectors
Sunipa Dev, Jeff Phillips
Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models
Kaspar Märtens, Michalis Titsias, Christopher Yau
A Unified Weight Learning Paradigm for Multi-view Learning
Lai Tian, Feiping Nie, Xuelong Li
Autoencoding any Data through Kernel Autoencoders
Pierre Laforgue, Stéphan Clémençon, Florence d’Alche-Buc
Auto-Encoding Total Correlation Explanation
Shuyang Gao, Rob Brekelmans, Greg Ver Steeg et al.
AutoML from Service Provider’s Perspective: Multi-device, Multi-tenant Model Selection with GP-EI
Chen Yu, Bojan Karlaš, Jie Zhong et al.
Avoiding Latent Variable Collapse with Generative Skip Models
Adji B. Dieng, Yoon Kim, Alexander M. Rush et al.
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era
Nicolas Durrande, Vincent Adam, Lucas Bordeaux et al.
Bandit Online Learning with Unknown Delays
Bingcong Li, Tianyi Chen, Georgios B. Giannakis