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Kernel Methods

571 directly classified papers

Papers per year

Papers

Nonlinear Information-Theoretic Compressive Measurement Design ICML 2014
Robust and Efficient Kernel Hyperparameter Paths with Guarantees ICML 2014
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning NIPS 2014
The Complexity of Learning Halfspaces using Generalized Linear Methods COLT 2014
Fast Prediction for Large-Scale Kernel Machines NIPS 2014
Simultaneous Twin Kernel Learning using Polynomial Transformations for Structured Prediction CVPR 2014
Learning with Fredholm Kernels NIPS 2014
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space NIPS 2014
Latent Support Measure Machines for Bag-of-Words Data Classification NIPS 2014
Subspace Embeddings for the Polynomial Kernel NIPS 2014
Convolutional Kernel Networks NIPS 2014
Kernel Mean Estimation via Spectral Filtering NIPS 2014
Convex Deep Learning via Normalized Kernels NIPS 2014
Quantized Kernel Learning for Feature Matching NIPS 2014
Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology NIPS 2014
Differentially Private Learning with Kernels ICML 2013
Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification ACML 2013
Structure Discovery in Nonparametric Regression through Compositional Kernel Search ICML 2013
Nyström Approximation for Large-Scale Determinantal Processes AISTATS 2013
JKernelMachines: A Simple Framework for Kernel Machines JMLR 2013
Sign Cauchy Projections and Chi-Square Kernel NIPS 2013
Characterizing the Representer Theorem ICML 2013
Consistency of Robust Kernel Density Estimators COLT 2013
B-test: A Non-parametric, Low Variance Kernel Two-sample Test NIPS 2013
Analyzing the Harmonic Structure in Graph-Based Learning NIPS 2013