
Learning Sampling Policy for Faster Derivative Free Optimization
Zerothorder (ZO, also known as derivativefree) methods, which estimate...
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Improved Metalearning training for Speaker Verification
Metalearning (ML) has recently become a research hotspot in speaker ver...
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Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating
Vertical federated learning (VFL) attracts increasing attention due to t...
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Optimizing LargeScale Hyperparameters via Automated Learning Algorithm
Modern machine learning algorithms usually involve tuning multiple (from...
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Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee
Due to the hierarchical structure of many machine learning problems, bil...
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PrivacyPreserving Asynchronous Federated Learning Algorithms for MultiParty Vertically Collaborative Learning
The privacypreserving federated learning for vertically partitioned dat...
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Fast OSCAR and OWL Regression via Safe Screening Rules
Ordered Weighted L_1 (OWL) regularized regression is a new regression an...
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Faster OnDevice Training Using New Federated Momentum Algorithm
Mobile crowdsensing has gained significant attention in recent years and...
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Large Batch Training Does Not Need Warmup
Training deep neural networks using a large batch size has shown promisi...
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Gaussian speaker embedding learning for textindependent speaker verification
The xvector maps segments of arbitrary duration to vectors of fixed dim...
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An Improved Deep Neural Network for Modeling Speaker Characteristics at Different Temporal Scales
This paper presents an improved deep embedding learning method based on ...
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Quadruply Stochastic Gradient Method for Large Scale Nonlinear SemiSupervised Ordinal Regression AUC Optimization
Semisupervised ordinal regression (S^2OR) problems are ubiquitous in re...
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Quadruply Stochastic Gradients for Large Scale Nonlinear SemiSupervised AUC Optimization
Semisupervised learning is pervasive in realworld applications, where ...
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Scalable SemiSupervised SVM via Triply Stochastic Gradients
Semisupervised learning (SSL) plays an increasingly important role in t...
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Faster GradientFree Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization
Proximal gradient method has been playing an important role to solve man...
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Training Neural Networks Using Features Replay
Training a neural network using backpropagation algorithm requires passi...
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Decoupled Parallel Backpropagation with Convergence Guarantee
Backpropagation algorithm is indispensable for the training of feedforwa...
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