Papers
Tensor Decompositions via Two-Mode Higher-Order SVD (HOSVD)
Miaoyan Wang, Yun Song
Online Learning and Blackwell Approachability with Partial Monitoring: Optimal Convergence Rates
Joon Kwon, Vianney Perchet
Gradient Boosting on Stochastic Data Streams
Hanzhang Hu, Wen Sun, Arun Venkatraman et al.
Local Perturb-and-MAP for Structured Prediction
Gedas Bertasius, Qiang Liu, Lorenzo Torresani et al.
Exploration-Exploitation in MDPs with Options
Ronan Fruit, Alessandro Lazaric
Co-Occurring Directions Sketching for Approximate Matrix Multiply
Youssef Mroueh, Etienne Marcheret, Vaibahava Goel
Bayesian Hybrid Matrix Factorisation for Data Integration
Thomas Brouwer, Pietro Lio
Fast column generation for atomic norm regularization
Marina Vinyes, Guillaume Obozinski
Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds
Mina Ashizawa, Hiroaki Sasaki, Tomoya Sakai et al.
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
Aaron Klein, Stefan Falkner, Simon Bartels et al.
Contextual Bandits with Latent Confounders: An NMF Approach
Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu et al.
Decentralized Collaborative Learning of Personalized Models over Networks
Paul Vanhaesebrouck, Aurélien Bellet, Marc Tommasi
Asymptotically exact inference in differentiable generative models
Matthew Graham, Amos Storkey
Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms
Christian Naesseth, Francisco Ruiz, Scott Linderman et al.
Global Convergence of Non-Convex Gradient Descent for Computing Matrix Squareroot
Prateek Jain, Chi Jin, Sham Kakade et al.
Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines
Atsushi Nitanda, Taiji Suzuki
Nonlinear ICA of Temporally Dependent Stationary Sources
Aapo Hyvarinen, Hiroshi Morioka
Efficient Rank Aggregation via Lehmer Codes
Pan Li, Arya Mazumdar, Olgica Milenkovic
Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models
Sejun Park, Yunhun Jang, Andreas Galanis et al.
ConvNets with Smooth Adaptive Activation Functions for Regression
Le Hou, Dimitris Samaras, Tahsin Kurc et al.
Combinatorial Topic Models using Small-Variance Asymptotics
Ke Jiang, Suvrit Sra, Brian Kulis
Online Optimization of Smoothed Piecewise Constant Functions
Vincent Cohen-Addad, Varun Kanade
On the Troll-Trust Model for Edge Sign Prediction in Social Networks
Géraud Le Falher, Nicolo Cesa-Bianchi, Claudio Gentile et al.
Stochastic Rank-1 Bandits
Sumeet Katariya, Branislav Kveton, Csaba Szepesvari et al.
Quantifying the accuracy of approximate diffusions and Markov chains
Jonathan Huggins, James Zou