Papers
Associative Long Short-Term Memory
Ivo Danihelka, Greg Wayne, Benigno Uria et al.
A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling
Mostafa Rahmani, Geroge Atia
A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums
Anton Rodomanov, Dmitry Kropotov
Asymmetric Multi-task Learning Based on Task Relatedness and Loss
Giwoong Lee, Eunho Yang, Sung Hwang
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih, Adria Puigdomenech Badia, Mehdi Mirza et al.
A Theory of Generative ConvNet
Jianwen Xie, Yang Lu, Song-Chun Zhu et al.
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification
Yuting Zhang, Kibok Lee, Honglak Lee
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen, Søren Kaae Sønderby, Hugo Larochelle et al.
Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series
Yunseong Hwang, Anh Tong, Jaesik Choi
Auxiliary Deep Generative Models
Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby et al.
A Variational Analysis of Stochastic Gradient Algorithms
Stephan Mandt, Matthew Hoffman, David Blei
Barron and Cover’s Theory in Supervised Learning and its Application to Lasso
Masanori Kawakita, Jun’ichi Takeuchi
BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces
Shane Carr, Roman Garnett, Cynthia Lo
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations
Aaron Schein, Mingyuan Zhou, David Blei et al.
Benchmarking Deep Reinforcement Learning for Continuous Control
Yan Duan, Xi Chen, Rein Houthooft et al.
Beyond CCA: Moment Matching for Multi-View Models
Anastasia Podosinnikova, Francis Bach, Simon Lacoste-Julien
Beyond Parity Constraints: Fourier Analysis of Hash Functions for Inference
Tudor Achim, Ashish Sabharwal, Stefano Ermon
Bidirectional Helmholtz Machines
Jorg Bornschein, Samira Shabanian, Asja Fischer et al.
Binary embeddings with structured hashed projections
Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski et al.
BISTRO: An Efficient Relaxation-Based Method for Contextual Bandits
Alexander Rakhlin, Karthik Sridharan
Black-Box Alpha Divergence Minimization
Jose Hernandez-Lobato, Yingzhen Li, Mark Rowland et al.
Black-box Optimization with a Politician
Sebastien Bubeck, Yin Tat Lee
Boolean Matrix Factorization and Noisy Completion via Message Passing
Siamak Ravanbakhsh, Barnabas Poczos, Russell Greiner
Bounded Off-Policy Evaluation with Missing Data for Course Recommendation and Curriculum Design
William Hoiles, Mihaela Schaar
Clustering High Dimensional Categorical Data via Topographical Features
Chao Chen, Novi Quadrianto