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Optimization

14,983 papers

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Papers

Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks AISTATS 2019
Robust descent using smoothed multiplicative noise AISTATS 2019
Classification using margin pursuit AISTATS 2019
Nonlinear Acceleration of Primal-Dual Algorithms AISTATS 2019
Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization AISTATS 2019
Optimal Transport for Multi-source Domain Adaptation under Target Shift AISTATS 2019
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks AISTATS 2019
On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition AISTATS 2019
Correcting the bias in least squares regression with volume-rescaled sampling AISTATS 2019
Bandit Online Learning with Unknown Delays AISTATS 2019
Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex AISTATS 2019
Are we there yet? Manifold identification of gradient-related proximal methods AISTATS 2019
Bayesian optimisation under uncertain inputs AISTATS 2019
Optimal Minimization of the Sum of Three Convex Functions with a Linear Operator AISTATS 2019
Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron AISTATS 2019
Model Consistency for Learning with Mirror-Stratifiable Regularizers AISTATS 2019
Feature subset selection for the multinomial logit model via mixed-integer optimization AISTATS 2019
Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs AISTATS 2019
A Continuous-Time View of Early Stopping for Least Squares Regression AISTATS 2019
Stochastic Gradient Descent with Exponential Convergence Rates of Expected Classification Errors AISTATS 2019
Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization AISTATS 2019
Projection Free Online Learning over Smooth Sets AISTATS 2019
Nonconvex Matrix Factorization from Rank-One Measurements AISTATS 2019
Fast and Robust Shortest Paths on Manifolds Learned from Data AISTATS 2019
Learning One-hidden-layer ReLU Networks via Gradient Descent AISTATS 2019