Papers
Variational Consensus Monte Carlo
Maxim Rabinovich, Elaine Angelino, Michael I Jordan
Variational Dropout and the Local Reparameterization Trick
Diederik P. Kingma, Tim Salimans, Max Welling
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
Shakir Mohamed, Danilo Jimenez Rezende
Visalogy: Answering Visual Analogy Questions
Fereshteh Sadeghi, C. Lawrence Zitnick, Ali Farhadi
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
Jimei Yang, Scott E Reed, Ming-Hsuan Yang et al.
Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization
Fredrik D Johansson, Ankani Chattoraj, Chiranjib Bhattacharyya et al.
When are Kalman-Filter Restless Bandits Indexable?
Christopher R Dance, Tomi Silander
Where are they looking?
Adria Recasens, Aditya Khosla, Carl Vondrick et al.
Winner-Take-All Autoencoders
Alireza Makhzani, Brendan J. Frey
A Bayesian model for identifying hierarchically organised states in neural population activity
Patrick Putzky, Florian Franzen, Giacomo Bassetto et al.
A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation
Eran Treister, Javier S Turek
A Boosting Framework on Grounds of Online Learning
Tofigh Naghibi Mohamadpoor, Beat Pfister
Accelerated Mini-batch Randomized Block Coordinate Descent Method
Tuo Zhao, Mo Yu, Yiming Wang et al.
A Complete Variational Tracker
Ryan D Turner, Steven Bottone, Bhargav Avasarala
Active Learning and Best-Response Dynamics
Maria-Florina F Balcan, Christopher Berlind, Avrim Blum et al.
Active Regression by Stratification
Sivan Sabato, Remi Munos
A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights
Weijie Su, Stephen Boyd, Emmanuel Candes
A Drifting-Games Analysis for Online Learning and Applications to Boosting
Haipeng Luo, Robert E. Schapire
A Dual Algorithm for Olfactory Computation in the Locust Brain
Sina Tootoonian, Mate Lengyel
Advances in Learning Bayesian Networks of Bounded Treewidth
Siqi Nie, Denis D. Maua, Cassio P de Campos et al.
A Filtering Approach to Stochastic Variational Inference
Neil Houlsby, David Blei
A framework for studying synaptic plasticity with neural spike train data
Scott Linderman, Christopher H Stock, Ryan P. Adams
A Framework for Testing Identifiability of Bayesian Models of Perception
Luigi Acerbi, Wei Ji Ma, Sethu Vijayakumar
A Latent Source Model for Online Collaborative Filtering
Guy Bresler, George H Chen, Devavrat Shah
Algorithm selection by rational metareasoning as a model of human strategy selection
Falk Lieder, Dillon Plunkett, Jessica B Hamrick et al.