Continuous Optimization

Dynamic Learning of Correlation Potentials for a Time-Dependent Kohn-Sham System L4DC 2022 Dynamic Tensor Product Regression NeurIPS 2022 Efficient Algorithms for General Isotone Optimization AAAI 2022 Efficient Algorithms for Monotone Non-Submodular Maximization with Partition Matroid Constraint IJCAI 2022 Efficient Convex Optimization Requires Superlinear Memory COLT 2022 Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression AISTATS 2022 Efficient Low Rank Convex Bounds for Pairwise Discrete Graphical Models ICML 2022 Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting JMLR 2022 Efficient Non-Parametric Optimizer Search for Diverse Tasks NeurIPS 2022 Efficient Optimal Transport Algorithm by Accelerated Gradient Descent AAAI 2022 Efficient Projection-Free Online Convex Optimization with Membership Oracle COLT 2022 Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications AAAI 2022 EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation JMLR 2022 Enhanced Bilevel Optimization via Bregman Distance NeurIPS 2022 Entropic Gromov-Wasserstein between Gaussian Distributions ICML 2022 Equivariant Priors for compressed sensing with unknown orientation ICML 2022 Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing ICML 2022 Exact Optimal Accelerated Complexity for Fixed-Point Iterations ICML 2022 Exact Partitioning of High-order Models with a Novel Convex Tensor Cone Relaxation JMLR 2022 Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces NeurIPS 2022 Explaining Soft-Goal Conflicts through Constraint Relaxations IJCAI 2022 Explicit Convergence Rates of Greedy and Random Quasi-Newton Methods JMLR 2022 Exploitability Minimization in Games and Beyond NeurIPS 2022 Exposure Normalization and Compensation for Multiple-Exposure Correction CVPR 2022 Extensions to the Proximal Distance Method of Constrained Optimization JMLR 2022