Continuous Optimization

Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach ICML 2021 Dueling Convex Optimization ICML 2021 Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares NeurIPS 2021 Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors CVPR 2021 Efficient Coreset Constructions via Sensitivity Sampling ACML 2021 Efficient Designs Of SLOPE Penalty Sequences In Finite Dimension AISTATS 2021 Efficient greedy coordinate descent via variable partitioning UAI 2021 Efficient methods for Gaussian Markov random fields under sparse linear constraints NeurIPS 2021 Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems NeurIPS 2021 Efficient Real-Time Radial Distortion Correction for UAVs WACV 2021 ELLIPSDF: Joint Object Pose and Shape Optimization With a Bi-Level Ellipsoid and Signed Distance Function Description ICCV 2021 Enabling long-range exploration in minimization of multimodal functions UAI 2021 Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem AAAI 2021 Entropy Partial Transport with Tree Metrics: Theory and Practice AISTATS 2021 Equitable and Optimal Transport with Multiple Agents AISTATS 2021 Escape saddle points by a simple gradient-descent based algorithm NeurIPS 2021 Explicit loss asymptotics in the gradient descent training of neural networks NeurIPS 2021 Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions NeurIPS 2021 Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach NeurIPS 2021 Exploiting Sparsity for Neural Network Verification L4DC 2021 Fair and Interpretable Algorithmic Hiring using Evolutionary Many Objective Optimization AAAI 2021 Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss ICML 2021 Fast and Smooth Interpolation on Wasserstein Space AISTATS 2021 Faster Algorithms and Constant Lower Bounds for the Worst-Case Expected Error NeurIPS 2021 Faster Kernel Interpolation for Gaussian Processes AISTATS 2021