Optimization

DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks AAAI 2023 DoG is SGD’s Best Friend: A Parameter-Free Dynamic Step Size Schedule ICML 2023 Efficient Second-Order Plane Adjustment CVPR 2023 End-to-End Learning for Optimization via Constraint-Enforcing Approximators AAAI 2023 End-to-End Learning for Stochastic Optimization: A Bayesian Perspective ICML 2023 Escaping saddle points in zeroth-order optimization: the power of two-point estimators ICML 2023 Expressive Optimal Temporal Planning via Optimization Modulo Theory AAAI 2023 Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates AAAI 2023 Fast Converging Anytime Model Counting AAAI 2023 Faster Gradient-Free Methods for Escaping Saddle Points ICLR 2023 Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle AISTATS 2023 Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition JMLR 2023 Formally Verified Solution Methods for Markov Decision Processes AAAI 2023 From Understanding Genetic Drift to a Smart-Restart Mechanism for Estimation-of-Distribution Algorithms JMLR 2023 Fundamental limits and algorithms for sparse linear regression with sublinear sparsity JMLR 2023 Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space ICML 2023 Group Equivariant Fourier Neural Operators for Partial Differential Equations ICML 2023 Harmonic Neural Networks ICML 2023 Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation AISTATS 2023 HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent AISTATS 2023 High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors ICML 2023 High Probability Convergence of Stochastic Gradient Methods ICML 2023 IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation AAAI 2023 Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression ICML 2023 Incremental Aggregated Riemannian Gradient Method for Distributed PCA AISTATS 2023