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Continuous Optimization

4,424 papers

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Papers

Symmetric Wasserstein autoencoders UAI 2021 Synchronization of Group-Labelled Multi-Graphs ICCV 2021 Teaching the Old Dog New Tricks: Supervised Learning with Constraints AAAI 2021 TenIPS: Inverse Propensity Sampling for Tensor Completion AISTATS 2021 Testing Group Fairness via Optimal Transport Projections ICML 2021 The Bethe and Sinkhorn Permanents of Low Rank Matrices and Implications for Profile Maximum Likelihood COLT 2021 The complexity of nonconvex-strongly-concave minimax optimization UAI 2021 The ensmallen library for flexible numerical optimization JMLR 2021 The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities COLT 2021 The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation NeurIPS 2021 Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss COLT 2021 Three Operator Splitting with a Nonconvex Loss Function ICML 2021 Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates NeurIPS 2021 Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport EMNLP 2021 TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving ICCV 2021 TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework NeurIPS 2021 Towards a Dimension-Free Understanding of Adaptive Linear Control COLT 2021 Towards a Unified Analysis of Random Fourier Features JMLR 2021 Towards finding the shortest-paths for 3D rigid bodies RSS 2021 Training Quantized Neural Networks to Global Optimality via Semidefinite Programming ICML 2021 Transforms Based Tensor Robust PCA: Corrupted Low-Rank Tensors Recovery via Convex Optimization ICCV 2021 Unbalanced Feature Transport for Exemplar-Based Image Translation CVPR 2021 Unbalanced minibatch Optimal Transport; applications to Domain Adaptation ICML 2021 Unbalanced Optimal Transport through Non-negative Penalized Linear Regression NeurIPS 2021 Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization NeurIPS 2021