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Continuous Optimization

3,907 papers

Papers per year

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38
155
367
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Papers

Efficient MDI Adaptation for n-Gram Language Models INTERSPEECH 2020
Sparseness-Aware DOA Estimation with Majorization Minimization INTERSPEECH 2020
Acoustic Signal Enhancement Using Relative Harmonic Coefficients: Spherical Harmonics Domain Approach INTERSPEECH 2020
Universal Latent Space Model Fitting for Large Networks with Edge Covariates JMLR 2020
Lower Bounds for Parallel and Randomized Convex Optimization JMLR 2020
On lp-Support Vector Machines and Multidimensional Kernels JMLR 2020
High-Dimensional Interactions Detection with Sparse Principal Hessian Matrix JMLR 2020
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems JMLR 2020
A Unified Framework for Structured Graph Learning via Spectral Constraints JMLR 2020
The Maximum Separation Subspace in Sufficient Dimension Reduction with Categorical Response JMLR 2020
Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping JMLR 2020
On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent JMLR 2020
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning JMLR 2020
Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis JMLR 2020
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization JMLR 2020
Quadratic Decomposable Submodular Function Minimization: Theory and Practice JMLR 2020
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning JMLR 2020
Agnostic Estimation for Phase Retrieval JMLR 2020
Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization JMLR 2020
A General System of Differential Equations to Model First-Order Adaptive Algorithms JMLR 2020
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers JMLR 2020
Nesterov's Acceleration for Approximate Newton JMLR 2020
A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints JMLR 2020
Distributionally Ambiguous Optimization for Batch Bayesian Optimization JMLR 2020
apricot: Submodular selection for data summarization in Python JMLR 2020