Papers
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
A Framework for Optimal Matching for Causal Inference
Nathan Kallus
Frank-Wolfe Algorithms for Saddle Point Problems
Gauthier Gidel, Tony Jebara, Simon Lacoste-Julien
Gray-box Inference for Structured Gaussian Process Models
Pietro Galliani, Amir Dezfouli, Edwin Bonilla et al.
Random Consensus Robust PCA
Daniel Pimentel-Alarcon, Robert Nowak
Encrypted Accelerated Least Squares Regression
Pedro Esperanca, Louis Aslett, Chris Holmes
Localized Lasso for High-Dimensional Regression
Makoto Yamada, Takeuchi Koh, Tomoharu Iwata et al.
Scaling Submodular Maximization via Pruned Submodularity Graphs
Tianyi Zhou, Hua Ouyang, Jeff Bilmes et al.
Regret Bounds for Transfer Learning in Bayesian Optimisation
Alistair Shilton, Sunil Gupta, Santu Rana et al.
Performance Bounds for Graphical Record Linkage
Rebecca C. Steorts, Mattew Barnes, Willie Neiswanger
Removing Phase Transitions from Gibbs Measures
Ian Fellows, Mark Handcock
Generalized Pseudolikelihood Methods for Inverse Covariance Estimation
Alnur Ali, Kshitij Khare, Sang-Yun Oh et al.
Poisson intensity estimation with reproducing kernels
Seth Flaxman, Yee Whye Teh, Dino Sejdinovic
Regret Bounds for Lifelong Learning
Pierre Alquier, The Tien Mai, Massimiliano Pontil
Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation
Sohail Bahmani, Justin Romberg
Distance Covariance Analysis
Benjamin Cowley, Joao Semedo, Amin Zandvakili et al.