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Optimization

1203 directly classified papers

Papers per year

Papers

On Testing of Uniform Samplers AAAI 2019
Consensual Affine Transformations for Partial Valuation Aggregation AAAI 2019
An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search AAAI 2019
On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation AAAI 2019
Optimizing in the Dark: Learning an Optimal Solution through a Simple Request Interface AAAI 2019
Low-Rank Semidefinite Programming for the MAX2SAT Problem AAAI 2019
Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems AAAI 2019
Dimension-Free Error Bounds from Random Projections AAAI 2019
A Nonconvex Projection Method for Robust PCA AAAI 2019
On Geometric Alignment in Low Doubling Dimension AAAI 2019
Parsimonious Online Learning with Kernels via Sparse Projections in Function Space JMLR 2019
Spectrum Estimation from a Few Entries JMLR 2019
No-Regret Bayesian Optimization with Unknown Hyperparameters JMLR 2019
Stochastic Variance-Reduced Cubic Regularization Methods JMLR 2019
Optimal Convergence Rates for Convex Distributed Optimization in Networks JMLR 2019
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective AISTATS 2019
Fast and Robust Shortest Paths on Manifolds Learned from Data AISTATS 2019
Nonconvex Matrix Factorization from Rank-One Measurements AISTATS 2019
A Theory of Regularized Markov Decision Processes ICML 2019
A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization RSS 2019
Lower Bounds for Parallel and Randomized Convex Optimization COLT 2019
KNG: The K-Norm Gradient Mechanism NIPS 2019
Learning to Optimize in Swarms NIPS 2019
On the number of variables to use in principal component regression NIPS 2019
Implicit Regularization of Accelerated Methods in Hilbert Spaces NIPS 2019