Continuous Optimization

Accelerated Projected Gradient Algorithms for Sparsity Constrained Optimization Problems NeurIPS 2022 Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling JMLR 2022 Accelerating Model-Free Policy Optimization Using Model-Based Gradient: A Composite Optimization Perspective L4DC 2022 Accelerating training of batch normalization: A manifold perspective UAI 2022 Acceleration in Distributed Optimization under Similarity AISTATS 2022 Acceleration in Distributed Sparse Regression NeurIPS 2022 A composable machine-learning approach for steady-state simulations on high-resolution grids NeurIPS 2022 A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows AISTATS 2022 A Convergent and Dimension-Independent Min-Max Optimization Algorithm ICML 2022 Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization AISTATS 2022 AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method AAAI 2022 Adam Can Converge Without Any Modification On Update Rules NeurIPS 2022 A Damped Newton Method Achieves Global $\mathcal O \left(\frac{1}{k^2}\right)$ and Local Quadratic Convergence Rate NeurIPS 2022 Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction ICML 2022 Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence AAAI 2022 Adaptive Bandit Convex Optimization with Heterogeneous Curvature COLT 2022 Adaptive Greedy Algorithm for Moderately Large Dimensions in Kernel Conditional Density Estimation JMLR 2022 Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff AISTATS 2022 Additive Nonlinear Quantile Regression in Ultra-high Dimension JMLR 2022 A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem NeurIPS 2022 A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence AISTATS 2022 A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data NeurIPS 2022 A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse AAAI 2022 A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions NeurIPS 2022 Aligning individual brains with fused unbalanced Gromov Wasserstein NeurIPS 2022