Continuous Optimization

Improved Coresets and Sublinear Algorithms for Power Means in Euclidean Spaces NeurIPS 2021 Improved CP-Based Lagrangian Relaxation Approach with an Application to the TSP IJCAI 2021 Improved Guarantees and a Multiple-descent Curve for Column Subset Selection and the Nystrom Method (Extended Abstract) IJCAI 2021 Improving approximate optimal transport distances using quantization UAI 2021 Increasing Iterate Averaging for Solving Saddle-Point Problems AAAI 2021 Incremental Learning via Rate Reduction CVPR 2021 In-Database Regression in Input Sparsity Time ICML 2021 Inductive Mutual Information Estimation: A Convex Maximum-Entropy Copula Approach AISTATS 2021 Infinite-Dimensional Fisher Markets: Equilibrium, Duality and Optimization AAAI 2021 Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport ICML 2021 Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates NeurIPS 2021 Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate NeurIPS 2021 Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing AAAI 2021 Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation AISTATS 2021 Kernel regression in high dimensions: Refined analysis beyond double descent AISTATS 2021 KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning ICML 2021 Landscape analysis of an improved power method for tensor decomposition NeurIPS 2021 Langevin Monte Carlo: random coordinate descent and variance reduction JMLR 2021 Large-Scale Learning with Fourier Features and Tensor Decompositions NeurIPS 2021 Large-Scale Wasserstein Gradient Flows NeurIPS 2021 Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes AISTATS 2021 LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints AAAI 2021 Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection NeurIPS 2021 Learning a Gradient-free Riemannian Optimizer on Tangent Spaces AAAI 2021 Learning Approximate Forward Reachable Sets Using Separating Kernels L4DC 2021