Papers
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring
David Kappel, Stefan Habenschuss, Robert Legenstein et al.
Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms
Christopher M De Sa, Ce Zhang, Kunle Olukotun et al.
Teaching Machines to Read and Comprehend
Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette et al.
Tensorizing Neural Networks
Alexander Novikov, Dmitrii Podoprikhin, Anton Osokin et al.
Testing Closeness With Unequal Sized Samples
Bhaswar Bhattacharya, Gregory Valiant
Texture Synthesis Using Convolutional Neural Networks
Leon Gatys, Alexander S Ecker, Matthias Bethge
The Brain Uses Reliability of Stimulus Information when Making Perceptual Decisions
Sebastian Bitzer, Stefan Kiebel
The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels
Purnamrita Sarkar, Deepayan Chakrabarti, peter j bickel
The Human Kernel
Andrew G Wilson, Christoph Dann, Chris Lucas et al.
The Pareto Regret Frontier for Bandits
Tor Lattimore
The Poisson Gamma Belief Network
Mingyuan Zhou, Yulai Cong, Bo Chen
The Population Posterior and Bayesian Modeling on Streams
James McInerney, Rajesh Ranganath, David Blei
The Self-Normalized Estimator for Counterfactual Learning
Adith Swaminathan, Thorsten Joachims
Time-Sensitive Recommendation From Recurrent User Activities
Nan Du, Yichen Wang, Niao He et al.
Top-k Multiclass SVM
Maksim Lapin, Matthias Hein, Bernt Schiele
Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number
Janne H Korhonen, Pekka Parviainen
Tractable Learning for Complex Probability Queries
Jessa Bekker, Jesse Davis, Arthur Choi et al.
Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy
Marylou Gabrie, Eric W Tramel, Florent Krzakala
Training Very Deep Networks
Rupesh K Srivastava, Klaus Greff, Jürgen Schmidhuber
Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models
Juho Lee, Seungjin Choi
Unified View of Matrix Completion under General Structural Constraints
Suriya Gunasekar, Arindam Banerjee, Joydeep Ghosh
Unlocking neural population non-stationarities using hierarchical dynamics models
Mijung Park, Gergo Bohner, Jakob H. Macke
Unsupervised Learning by Program Synthesis
Kevin Ellis, Armando Solar-Lezama, Josh Tenenbaum
Variance Reduced Stochastic Gradient Descent with Neighbors
Thomas Hofmann, Aurelien Lucchi, Simon Lacoste-Julien et al.