Papers
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images
Vladimir Golkov, Marcin J Skwark, Antonij Golkov et al.
k*-Nearest Neighbors: From Global to Local
Oren Anava, Kfir Levy
The Multi-fidelity Multi-armed Bandit
Kirthevasan Kandasamy, Gautam Dasarathy, Barnabas Poczos et al.
Sorting out typicality with the inverse moment matrix SOS polynomial
Edouard Pauwels, Jean B Lasserre
Coresets for Scalable Bayesian Logistic Regression
Jonathan Huggins, Trevor Campbell, Tamara Broderick
The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM
Damek Davis, Brent Edmunds, Madeleine Udell
Stochastic Optimization for Large-scale Optimal Transport
Aude Genevay, Marco Cuturi, Gabriel Peyré et al.
Active Learning with Oracle Epiphany
Tzu-Kuo Huang, Lihong Li, Ara Vartanian et al.
Hierarchical Object Representation for Open-Ended Object Category Learning and Recognition
Seyed Hamidreza Kasaei, Ana Maria Tomé, Luís Seabra Lopes
Dimension-Free Iteration Complexity of Finite Sum Optimization Problems
Yossi Arjevani, Ohad Shamir
Spectral Learning of Dynamic Systems from Nonequilibrium Data
Hao Wu, Frank Noe
Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization
Sashank J. Reddi, Suvrit Sra, Barnabas Poczos et al.
Cyclades: Conflict-free Asynchronous Machine Learning
Xinghao Pan, Maximilian Lam, Stephen Tu et al.
Feature selection in functional data classification with recursive maxima hunting
José L. Torrecilla, Alberto Suárez
CMA-ES with Optimal Covariance Update and Storage Complexity
Oswin Krause, Dídac Rodríguez Arbonès, Christian Igel
Graph Clustering: Block-models and model free results
Yali Wan, Marina Meila
Dynamic Network Surgery for Efficient DNNs
Yiwen Guo, Anbang Yao, Yurong Chen
Greedy Feature Construction
Dino Oglic, Thomas Gärtner
Mapping Estimation for Discrete Optimal Transport
Michaël Perrot, Nicolas Courty, Rémi Flamary et al.
Sublinear Time Orthogonal Tensor Decomposition
Zhao Song, David Woodruff, Huan Zhang
Incremental Variational Sparse Gaussian Process Regression
Ching-An Cheng, Byron Boots
Split LBI: An Iterative Regularization Path with Structural Sparsity
Chendi Huang, Xinwei Sun, Jiechao Xiong et al.
Computational and Statistical Tradeoffs in Learning to Rank
Ashish Khetan, Sewoong Oh
Probabilistic Linear Multistep Methods
Onur Teymur, Kostas Zygalakis, Ben Calderhead