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Optimization

1638 directly classified papers

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Papers

Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima JMLR 2022
A proof of convergence for the gradient descent optimization method with random initializations in the training of neural networks with ReLU activation for piecewise linear target functions JMLR 2022
On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping JMLR 2022
Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization JMLR 2022
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks JMLR 2022
Stochastic DCA with Variance Reduction and Applications in Machine Learning JMLR 2022
Beyond Sub-Gaussian Noises: Sharp Concentration Analysis for Stochastic Gradient Descent JMLR 2022
On Biased Stochastic Gradient Estimation JMLR 2022
Improved techniques for deterministic l2 robustness NIPS 2022
Approximate Secular Equations for the Cubic Regularization Subproblem NIPS 2022
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? NIPS 2022
Structural Pruning via Latency-Saliency Knapsack NIPS 2022
Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs AAAI 2022
HoD-Net: High-Order Differentiable Deep Neural Networks and Applications AAAI 2022
A Short-Term Tropical Cyclone Intensity Forecasting Method Based on High-Order Tensor (Student Abstract) AAAI 2022
A Stochastic Momentum Accelerated Quasi-Newton Method for Neural Networks (Student Abstract) AAAI 2022
Ludus: An Optimization Framework to Balance Auto Battler Cards AAAI 2022
Efficient Optimal Transport Algorithm by Accelerated Gradient Descent AAAI 2022
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection AAAI 2022
Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training AAAI 2022
Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations AAAI 2022
Fast Graph Neural Tangent Kernel via Kronecker Sketching AAAI 2022
DiPS: Differentiable Policy for Sketching in Recommender Systems AAAI 2022
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs AAAI 2022
FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles AAAI 2022