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conftrace_

non-convex optimization

949 papers

Papers

Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization IJCAI 2020 ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization JMLR 2020 Random Reshuffling: Simple Analysis with Vast Improvements NeurIPS 2020 Robustness Analysis of Non-Convex Stochastic Gradient Descent using Biased Expectations NeurIPS 2020 Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis ICML 2020 Safe Sample Screening for Robust Support Vector Machine AAAI 2020 Second-Order Information in Non-Convex Stochastic Optimization: Power and Limitations COLT 2020 Second Order Optimality in Decentralized Non-Convex Optimization via Perturbed Gradient Tracking NeurIPS 2020 SGD with shuffling: optimal rates without component convexity and large epoch requirements NeurIPS 2020 Short and Sparse Deconvolution --- A Geometric Approach ICLR 2020 Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization ICML 2020 Stochastic Gradient and Langevin Processes ICML 2020 Stochastic Nested Variance Reduction for Nonconvex Optimization JMLR 2020 Stochastic Optimization for Non-convex Inf-Projection Problems ICML 2020 Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems NeurIPS 2020 Stochastic Recursive Variance-Reduced Cubic Regularization Methods AISTATS 2020 The Complexity of Finding Stationary Points with Stochastic Gradient Descent ICML 2020 Tight Convergence Rate of Gradient Descent for Eigenvalue Computation IJCAI 2020 Towards Better Generalization of Adaptive Gradient Methods NeurIPS 2020 Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets ICLR 2020 Transferring Optimality Across Data Distributions via Homotopy Methods ICLR 2020 Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality ICML 2020 Zeroth Order Non-convex optimization with Dueling-Choice Bandits UAI 2020 ACCELERATING NONCONVEX LEARNING VIA REPLICA EXCHANGE LANGEVIN DIFFUSION ICLR 2019 Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions NeurIPS 2019