Papers
Variational Autoencoders: A Harmonic Perspective
Alexander Camuto, Matthew Willetts
Variational Continual Proxy-Anchor for Deep Metric Learning
Minyoung Kim, Ricardo Guerrero, Hai X. Pham et al.
Variational Gaussian Processes: A Functional Analysis View
George Wynne, Veit Wild
Variational Marginal Particle Filters
Jinlin Lai, Justin Domke, Daniel Sheldon
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition
Randy Ardywibowo, Shahin Boluki, Zhangyang Wang et al.
Warping Layer: Representation Learning for Label Structures in Weakly Supervised Learning
Yingyi Ma, Xinhua Zhang
Weak Separation in Mixture Models and Implications for Principal Stratification
Nhat Ho, Avi Feller, Evan Greif et al.
Weighted Gaussian Process Bandits for Non-stationary Environments
Yuntian Deng, Xingyu Zhou, Baekjin Kim et al.
Wide Mean-Field Bayesian Neural Networks Ignore the Data
Beau Coker, Wessel P. Bruinsma, David R. Burt et al.
Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization
Chinmay Maheshwari, Chih-Yuan Chiu, Eric Mazumdar et al.
A Bayesian nonparametric approach to count-min sketch under power-law data streams
Emanuele Dolera, Stefano Favaro, Stefano Peluchetti
Abstract Value Iteration for Hierarchical Reinforcement Learning
Kishor Jothimurugan, Osbert Bastani, Rajeev Alur
Accelerating Metropolis-Hastings with Lightweight Inference Compilation
Feynman Liang, Nimar Arora, Nazanin Tehrani et al.
A Change of Variables Method For Rectangular Matrix-Vector Products
Edmond Cunningham, Madalina Fiterau
A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling
HaiYing Wang, Jiahui Zou
A constrained risk inequality for general losses
John Duchi, Feng Ruan
A Contraction Approach to Model-based Reinforcement Learning
Ting-Han Fan, Peter Ramadge
Active Learning under Label Shift
Eric Zhao, Anqi Liu, Animashree Anandkumar et al.
Active Learning with Maximum Margin Sparse Gaussian Processes
Weishi Shi, Qi Yu
Active Online Learning with Hidden Shifting Domains
Yining Chen, Haipeng Luo, Tengyu Ma et al.
Adaptive Approximate Policy Iteration
Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori et al.
Adaptive Sampling for Fast Constrained Maximization of Submodular Functions
Francesco Quinzan, Vanja Doskoc, Andreas Göbel et al.
Adaptive wavelet pooling for convolutional neural networks
Moritz Wolter, Jochen Garcke
A Deterministic Streaming Sketch for Ridge Regression
Benwei Shi, Jeff Phillips