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Optimization

14,983 papers

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Papers

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
Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent JMLR 2020
Learning with Fenchel-Young losses JMLR 2020
Branch and Bound for Piecewise Linear Neural Network Verification JMLR 2020
Sparse and low-rank multivariate Hawkes processes JMLR 2020
Conjugate Gradients for Kernel Machines JMLR 2020
Robust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions JMLR 2020
Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Rank-1 Robust Principal Component Analysis JMLR 2020
Generalized Optimal Matching Methods for Causal Inference JMLR 2020
Unique Sharp Local Minimum in L1-minimization Complete Dictionary Learning JMLR 2020
On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics JMLR 2020
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning JMLR 2020
Harmless Overfitting: Using Denoising Autoencoders in Estimation of Distribution Algorithms JMLR 2020
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly JMLR 2020
Constrained Dynamic Programming and Supervised Penalty Learning Algorithms for Peak Detection in Genomic Data JMLR 2020
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients JMLR 2020
Loss Control with Rank-one Covariance Estimate for Short-term Portfolio Optimization JMLR 2020
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings JMLR 2020
Stochastic Nested Variance Reduction for Nonconvex Optimization JMLR 2020
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization JMLR 2020
ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization JMLR 2020
Regularized Estimation of High-dimensional Factor-Augmented Vector Autoregressive (FAVAR) Models JMLR 2020
Agnostic Estimation for Phase Retrieval JMLR 2020
Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization JMLR 2020