Papers
Back to the Future: Radial Basis Function Networks Revisited
Qichao Que, Mikhail Belkin
Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down Saliency
Hisham Cholakkal, Jubin Johnson, Deepu Rajan
Bad Company—Neighborhoods in Neural Embedding Spaces Considered Harmful
Johannes Hellrich, Udo Hahn
Bag-of-Embeddings for Text Classification
Peng Jin, Yue Zhang, Xingyuan Chen et al.
Balancing Appearance and Context in Sketch Interpretation
Yale Song, Randall Davis, Kaichen Ma et al.
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition
Ahmed M. Alaa, Mihaela van der Schaar
bandicoot: a Python Toolbox for Mobile Phone Metadata
Yves-Alexandre de Montjoye, Luc Rocher, Alex Sandy Pentland
(Bandit) Convex Optimization with Biased Noisy Gradient Oracles
Xiaowei Hu, Prashanth L.A., András György et al.
Bank of Weight Filters for Deep CNNs
Suresh Kirthi Kumaraswamy, PS Sastry, Kalpathi Ramakrishnan
Barron and Cover’s Theory in Supervised Learning and its Application to Lasso
Masanori Kawakita, Jun’ichi Takeuchi
Barzilai-Borwein Step Size for Stochastic Gradient Descent
Conghui Tan, Shiqian Ma, Yu-Hong Dai et al.
BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces
Shane Carr, Roman Garnett, Cynthia Lo
Baseline Regularization for Computational Drug Repositioning with Longitudinal Observational Data
Zhaobin Kuang, James Thomson, Michael Caldwell et al.
Basis Learning as an Algorithmic Primitive
Mikhail Belkin, Luis Rademacher, James Voss
Batch Bayesian Optimization via Local Penalization
Javier Gonzalez, Zhenwen Dai, Philipp Hennig et al.
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes
Tarun Kathuria, Amit Deshpande, Pushmeet Kohli
Batch-Switching Policy Iteration
Shivaram Kalyanakrishnan, Utkarsh Mall, Ritish Goyal
Bayesian Decision Process for Cost-Efficient Dynamic Ranking via Crowdsourcing
Xi Chen, Kevin Jiao, Qihang Lin
Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks
Yizhe Zhang, Ricardo Henao, Chunyuan Li et al.
Bayesian Generalised Ensemble Markov Chain Monte Carlo
Jes Frellsen, Ole Winther, Zoubin Ghahramani et al.
Bayesian Graphical Models for Multivariate Functional Data
Hongxiao Zhu, Nate Strawn, David B. Dunson
Bayesian group factor analysis with structured sparsity
Shiwen Zhao, Chuan Gao, Sayan Mukherjee et al.
Bayesian Intermittent Demand Forecasting for Large Inventories
Matthias W Seeger, David Salinas, Valentin Flunkert
Bayesian Language Model based on Mixture of Segmental Contexts for Spontaneous Utterances with Unexpected Words
Ryu Takeda, Kazunori Komatani
Bayesian latent structure discovery from multi-neuron recordings
Scott Linderman, Ryan P. Adams, Jonathan W Pillow