Continuous Optimization

On a Combination of Alternating Minimization and Nesterov’s Momentum ICML 2021 On ADMM in Deep Learning: Convergence and Saturation-Avoidance JMLR 2021 On efficient multilevel Clustering via Wasserstein distances JMLR 2021 One-sided Frank-Wolfe algorithms for saddle problems ICML 2021 Online Non-Monotone DR-Submodular Maximization AAAI 2021 On lp-hyperparameter Learning via Bilevel Nonsmooth Optimization JMLR 2021 On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry NeurIPS 2021 On Robust Optimal Transport: Computational Complexity and Barycenter Computation NeurIPS 2021 On Solving Probabilistic Linear Diophantine Equations JMLR 2021 On the Approximation of Nash Equilibria in Sparse Win-Lose Multi-player Games AAAI 2021 On the Riemannian Search for Eigenvector Computation JMLR 2021 On Universal Approximation and Error Bounds for Fourier Neural Operators JMLR 2021 Optimal Decision Trees for Nonlinear Metrics AAAI 2021 Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression JMLR 2021 Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method ICML 2021 Optimal Pose and Shape Estimation for Category-level 3D Object Perception RSS 2021 Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy AISTATS 2021 Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives JMLR 2021 Optimized auxiliary particle filters: adapting mixture proposals via convex optimization UAI 2021 Optimizing Optimizers: Regret-optimal gradient descent algorithms COLT 2021 Optimizing persistent homology based functions ICML 2021 Orthogonal Over-Parameterized Training CVPR 2021 Outlier-Robust Optimal Transport ICML 2021 Out-of-Core Surface Reconstruction via Global TGV Minimization ICCV 2021 Parameter-free Locally Accelerated Conditional Gradients ICML 2021