conftrace_

multiple kernel learning

80 papers

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Also known as

MKL

Co-occurring keywords

kernel methods (1097) support vector machine (978) convex optimization (1321) kernel learning (102) feature selection (649) mirror descent algorithm (4) mirror descent (148) kernel combination (7) generalization bound (652) rademacher complexity (109)

Papers

Fair Kernel K-Means: from Single Kernel to Multiple Kernel NIPS 2024
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention NIPS 2024
Learning GAI-Decomposable Utility Models for Multiattribute Decision Making AAAI 2024
Fixing the NTK: From Neural Network Linearizations to Exact Convex Programs NIPS 2023
Consistency of Multiple Kernel Clustering ICML 2023
Discrete Multiple Kernel k-means IJCAI 2021
SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy EMNLP 2020
Kernel Learning for Data-Driven Spectral Analysis of Koopman Operators ACML 2019
Multiple Empirical Kernel Learning with Discriminant Locality Preservation ACML 2019
A Multitask Multiple Kernel Learning Algorithm for Survival Analysis with Application to Cancer Biology ICML 2019
Optimality Implies Kernel Sum Classifiers are Statistically Efficient ICML 2019
Clustering Induced Kernel Learning ACML 2018
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification IJCAI 2018
Structured Gaussian Processes with Twin Multiple Kernel Learning ACML 2018
UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row COLING 2018
Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy MLHC 2018
SSN_MLRG1 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis Using Multiple Kernel Gaussian Process Regression Model SEMEVAL 2017
Multiple Indefinite Kernel Learning for Feature Selection IJCAI 2017
Localized Multiple Kernel Learning—A Convex Approach ACML 2016
Cost Sensitive Online Multiple Kernel Classification ACML 2016
NuC-MKL: A Convex Approach to Non Linear Multiple Kernel Learning AISTATS 2016
Multiple Kernel Learning with Data Augmentation ACML 2016
Generalized Hierarchical Kernel Learning JMLR 2015
Human Action Recognition Based on Context-Dependent Graph Kernels CVPR 2014
Theoretical Analyses on Ensemble and Multiple Kernel Regressors ACML 2014