Papers
Variance-Aware Regret Bounds for Undiscounted Reinforcement Learning in MDPs
Mohammad Sadegh Talebi, Odalric-Ambrym Maillard
Variance-Reduced Stochastic Gradient Descent on Streaming Data
Ellango Jothimurugesan, Ashraf Tahmasbi, Phillip Gibbons et al.
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
Cathy Wu, Aravind Rajeswaran, Yan Duan et al.
Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling
Ximing Li, Changchun Li, Jinjin Chi et al.
Variational Attention for Sequence-to-Sequence Models
Hareesh Bahuleyan, Lili Mou, Olga Vechtomova et al.
Variational Autoencoders for Deforming 3D Mesh Models
Qingyang Tan, Lin Gao, Yu-Kun Lai et al.
Variational Autoencoders for Learning Latent Representations of Speech Emotion: A Preliminary Study
Siddique Latif, Rajib Rana, Junaid Qadir et al.
Variational Autoregressive Decoder for Neural Response Generation
Jiachen Du, Wenjie Li, Yulan He et al.
Variational Bayesian dropout: pitfalls and fixes
Jiri Hron, Alex Matthews, Zoubin Ghahramani
Variational Bayesian Monte Carlo
Luigi Acerbi
Variational Continual Learning
Cuong V. Nguyen, Yingzhen Li, Thang D. Bui et al.
Variational Fourier Features for Gaussian Processes
James Hensman, Nicolas Durrande, Arno Solin
Variational image compression with a scale hyperprior
Johannes Ballé, David Minnen, Saurabh Singh et al.
Variational Inference and Deep Generative Models
Wilker Aziz, Philip Schulz
Variational Inference and Model Selection with Generalized Evidence Bounds
Liqun Chen, Chenyang Tao, Ruiyi Zhang et al.
Variational Inference based on Robust Divergences
Futoshi Futami, Issei Sato, Masashi Sugiyama
Variational inference for the multi-armed contextual bandit
Iñigo Urteaga, Chris Wiggins
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
Abhishek Kumar, Prasanna Sattigeri, Avinash Balakrishnan
Variational Inference with Tail-adaptive f-Divergence
Dilin Wang, Hao Liu, Qiang Liu
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition
Justin Fu, Avi Singh, Dibya Ghosh et al.
Variational Knowledge Graph Reasoning
Wenhu Chen, Wenhan Xiong, Xifeng Yan et al.
Variational Learning on Aggregate Outputs with Gaussian Processes
Ho Chung Law, Dino Sejdinovic, Ewan Cameron et al.
Variational Memory Encoder-Decoder
Hung Le, Truyen Tran, Thin Nguyen et al.
Variational Message Passing with Structured Inference Networks
Wu Lin, Nicolas Hubacher, Mohammad Emtiyaz Khan