Papers
A Unified Approach for Learning the Parameters of Sum-Product Networks
Han Zhao, Pascal Poupart, Geoffrey J. Gordon
Automated scalable segmentation of neurons from multispectral images
Uygar Sümbül, Douglas Roossien, Dawen Cai et al.
Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks
Noah Apthorpe, Alexander Riordan, Robert Aguilar et al.
Average-case hardness of RIP certification
Tengyao Wang, Quentin Berthet, Yaniv Plan
Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction
Jacob Steinhardt, Gregory Valiant, Moses Charikar
Backprop KF: Learning Discriminative Deterministic State Estimators
Tuomas Haarnoja, Anurag Ajay, Sergey Levine et al.
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition
Ahmed M. Alaa, Mihaela van der Schaar
Barzilai-Borwein Step Size for Stochastic Gradient Descent
Conghui Tan, Shiqian Ma, Yu-Hong Dai et al.
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes
Tarun Kathuria, Amit Deshpande, Pushmeet Kohli
Bayesian Intermittent Demand Forecasting for Large Inventories
Matthias W Seeger, David Salinas, Valentin Flunkert
Bayesian latent structure discovery from multi-neuron recordings
Scott Linderman, Ryan P. Adams, Jonathan W Pillow
Bayesian optimization for automated model selection
Gustavo Malkomes, Charles Schaff, Roman Garnett
Bayesian Optimization for Probabilistic Programs
Tom Rainforth, Tuan Anh Le, Jan-Willem van de Meent et al.
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian
Victor Picheny, Robert B. Gramacy, Stefan Wild et al.
Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach
Remi Lam, Karen Willcox, David H. Wolpert
Bayesian Optimization with Robust Bayesian Neural Networks
Jost Tobias Springenberg, Aaron Klein, Stefan Falkner et al.
beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
Beyond Exchangeability: The Chinese Voting Process
Moontae Lee, Seok Hyun Jin, David Mimno
Binarized Neural Networks
Itay Hubara, Matthieu Courbariaux, Daniel Soudry et al.
Bi-Objective Online Matching and Submodular Allocations
Hossein Esfandiari, Nitish Korula, Vahab Mirrokni
Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning
Jean-Bastien Grill, Michal Valko, Remi Munos
Blind Attacks on Machine Learners
Alex Beatson, Zhaoran Wang, Han Liu
Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering
Dogyoon Song, Christina E. Lee, Yihua Li et al.
Boosting with Abstention
Corinna Cortes, Giulia DeSalvo, Mehryar Mohri
Bootstrap Model Aggregation for Distributed Statistical Learning
JUN HAN, Qiang Liu