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Optimization

14,983 papers

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Papers

Multi-frame Coding of LSF Parameters Using Block-Constrained Trellis Coded Vector Quantization INTERSPEECH 2018
Avoiding Speaker Overfitting in End-to-End DNNs Using Raw Waveform for Text-Independent Speaker Verification INTERSPEECH 2018
Improving CTC-based Acoustic Model with Very Deep Residual Time-delay Neural Networks INTERSPEECH 2018
Hierarchical Recurrent Neural Networks for Acoustic Modeling INTERSPEECH 2018
Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks INTERSPEECH 2018
Training Gaussian Mixture Models at Scale via Coresets JMLR 2018
Maximum Principle Based Algorithms for Deep Learning JMLR 2018
Local Identifiability of $\ell_1$-minimization Dictionary Learning: a Sufficient and Almost Necessary Condition JMLR 2018
Convergence of Unregularized Online Learning Algorithms JMLR 2018
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity JMLR 2018
Divide-and-Conquer for Debiased $l_1$-norm Support Vector Machine in Ultra-high Dimensions JMLR 2018
On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization JMLR 2018
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization JMLR 2018
From Predictive Methods to Missing Data Imputation: An Optimization Approach JMLR 2018
Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization JMLR 2018
Sparse Concordance-assisted Learning for Optimal Treatment Decision JMLR 2018
The Search Problem in Mixture Models JMLR 2018
An $\ell_{\infty}$ Eigenvector Perturbation Bound and Its Application JMLR 2018
A Tight Bound of Hard Thresholding JMLR 2018
Estimation of Graphical Models through Structured Norm Minimization JMLR 2018
Weighted SGD for $\ell_p$ Regression with Randomized Preconditioning JMLR 2018
Catalyst Acceleration for First-order Convex Optimization: from Theory to Practice JMLR 2018
SGDLibrary: A MATLAB library for stochastic optimization algorithms JMLR 2018
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging JMLR 2018
Katyusha: The First Direct Acceleration of Stochastic Gradient Methods JMLR 2018