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JMLR Workshop and Conference Proceedings

Volume 44: Proceedings of The 1st International Workshop on “Feature Extraction: Modern Questions and Challenges”, NIPS

Editors: Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar, Neil Lawrence

Contents:

Accepted Papers

A Survey of Modern Questions and Challenges in Feature Extraction

Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar

A Dimension-Independent Generalization Bound for Kernel Supervised Principal Component Analysis

Hassan Ashtiani, Ali Ghodsi

Learning Sparse Metrics, One Feature at a Time

Yuval, Atzmon, Uri Shalit, Gal Chechik

Stage-wise Training: An Improved Feature Learning Strategy for Deep Models

Elnaz Barshan, Paul Fieguth

Learning Multi-channel Deep Feature Representations for Face Recognition

Xue-wen Chen, Melih Aslan, Kunlei Zhang, Thomas Huang

Kernel Extraction via Voted Risk Minimization

Corinna Cortes, Prasoon Goyal, Vitaly Kuznetsov, Mehryar Mohri

A Computationally Efficient Method for Estimating Semi Parametric Regression Functions

Xia Cui, Ying Lu, Heng Peng

Spatiotemporal Feature Extraction with Data-Driven Koopman Operators

Dimitrios Giannakis, Joanna Slawinska, Zhizhen Zhao

Convolutional Dictionary Learning through Tensor Factorization

Furong Huang, Animashree Anandkumar

FEAST at Play: Feature ExtrAction using Score function Tensors

Majid Janzamin, Hanie Sedghi, U.N. Niranjan, Animashree Anandkumar

The Deep Feed-Forward Gaussian Process: An Effective Generalization to Covariance Priors

Melih Kandemir, Fred A. Hamprecht

Deep Clustered Convolutional Kernels

Minyoung Kim, Luca Rigazio

Theory and Algorithms for the Localized Setting of Learning Kernels

Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft

Convergent Learning: Do different neural networks learn the same representations?

Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John Hopcroft

Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns

Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar

Generalization Bounds for Supervised Dimensionality Reduction

Mehryar Mohri, Afshin Rostamizadeh, Dmitry Storcheus

Modular Autoencoders for Ensemble Feature Extraction

Henry Reeve, Gavin Brown

Minimum description length (MDL) regularization for online learning

Gil I. Shamir

Covariance Selection in the Linear Mixed Effect Mode

Jonathan P. Williams, Ying Lu