Papers
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models
Randy Ardywibowo, Guang Zhao, Zhangyang Wang et al.
Sketching for Latent Dirichlet-Categorical Models
Joseph Tassarotti, Jean-Baptiste Tristan, Michael Wick
Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain
Quentin Berthet, Varun Kanade
KAMA-NNs: Low-dimensional Rotation Based Neural Networks
Krzysztof Choromanski, Aldo Pacchiano, Jeffrey Pennington et al.
A Stein–Papangelou Goodness-of-Fit Test for Point Processes
Jiasen Yang, Vinayak Rao, Jennifer Neville
Block Stability for MAP Inference
Hunter Lang, David Sontag, Aravindan Vijayaraghavan
Orthogonal Estimation of Wasserstein Distances
Mark Rowland, Jiri Hron, Yunhao Tang et al.
Efficient Linear Bandits through Matrix Sketching
Ilja Kuzborskij, Leonardo Cella, Nicolò Cesa-Bianchi
Unbiased Implicit Variational Inference
Michalis K. Titsias, Francisco Ruiz
Identifiability of Generalized Hypergeometric Distribution (GHD) Directed Acyclic Graphical Models
Gunwoong Park, Hyewon Park
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models
Yuan Zhou, Bradley J. Gram-Hansen, Tobias Kohn et al.
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds
Pan Zhou, Xiao-Tong Yuan, Jiashi Feng
Towards a Theoretical Understanding of Hashing-Based Neural Nets
Yibo Lin, Zhao Song, Lin F. Yang
On the Interaction Effects Between Prediction and Clustering
Matt Barnes, Artur Dubrawski
Interaction Detection with Bayesian Decision Tree Ensembles
Junliang Du, Antonio R. Linero
Inferring Multidimensional Rates of Aging from Cross-Sectional Data
Emma Pierson, Pang Wei Koh, Tatsunori Hashimoto et al.
Scalable Thompson Sampling via Optimal Transport
Ruiyi Zhang, Zheng Wen, Changyou Chen et al.
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers
Marcel Hirt, Petros Dellaportas
Resampled Priors for Variational Autoencoders
Matthias Bauer, Andriy Mnih
Boosting Transfer Learning with Survival Data from Heterogeneous Domains
Alexis Bellot, Mihaela van der Schaar
Error bounds for sparse classifiers in high-dimensions
Antoine Dedieu
Risk-Averse Stochastic Convex Bandit
Adrian Rivera Cardoso, Huan Xu
Gaussian Regression with Convex Constraints
Matey Neykov