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Continuous Optimization

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Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence Rate AISTATS 2023
Coordinate Descent Methods for Fractional Minimization ICML 2023
Beyond the Golden Ratio for Variational Inequality Algorithms JMLR 2023
Scalable Bicriteria Algorithms for Non-Monotone Submodular Cover AISTATS 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective ICML 2023
Convex Geometric Motion Planning on Lie Groups via Moment Relaxation RSS 2023
Alternating Projected SGD for Equality-constrained Bilevel Optimization AISTATS 2023
Editable Image Geometric Abstraction via Neural Primitive Assembly ICCV 2023
Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization ICML 2023
Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data AISTATS 2023
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction ICML 2023
Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery AISTATS 2023
Differentially Private Matrix Completion through Low-rank Matrix Factorization AISTATS 2023
Quantum Multi-Model Fitting CVPR 2023
Simplex Random Features ICML 2023
An Efficient Multi-solution Solver for the Inverse Kinematics of 3-Section Constant-Curvature Robots RSS 2023
Resolving the Approximability of Offline and Online Non-monotone DR-Submodular Maximization over General Convex Sets AISTATS 2023
Reducing Discretization Error in the Frank-Wolfe Method AISTATS 2023
High Probability Bounds for Stochastic Continuous Submodular Maximization AISTATS 2023
Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection Maintenance ICML 2023
Riemannian Accelerated Gradient Methods via Extrapolation AISTATS 2023
A Nearly-Optimal Bound for Fast Regression with $\ell_∞$ Guarantee ICML 2023
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms ICML 2023
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations ICML 2023
A Fast Optimistic Method for Monotone Variational Inequalities ICML 2023