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Continuous Optimization

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Papers

A Continuous Mapping For Augmentation Design NIPS 2021
Transforms Based Tensor Robust PCA: Corrupted Low-Rank Tensors Recovery via Convex Optimization ICCV 2021
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction ICML 2021
ELLIPSDF: Joint Object Pose and Shape Optimization With a Bi-Level Ellipsoid and Signed Distance Function Description ICCV 2021
Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach NIPS 2021
Light RUMs ICML 2021
Robust principal component analysis for generalized multi-view models UAI 2021
Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression JMLR 2021
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms NIPS 2021
Debiasing Evaluations That Are Biased by Evaluations AAAI 2021
Low-Rank Sinkhorn Factorization ICML 2021
Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization NIPS 2021
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings AISTATS 2021
Differential Spectral Normalization (DSN) for PDE Discovery AAAI 2021
Vocabulary Learning via Optimal Transport for Neural Machine Translation IJCNLP 2021
Learning local modules in dynamic networks L4DC 2021
Dimensionality Reduction for Wasserstein Barycenter NIPS 2021
Anderson acceleration of coordinate descent AISTATS 2021
On the Riemannian Search for Eigenvector Computation JMLR 2021
Few-Shot Data-Driven Algorithms for Low Rank Approximation NIPS 2021
Oblivious Sketching-based Central Path Method for Linear Programming ICML 2021
Cost-effective Cloud Edge Traffic Engineering with Cascara NSDI 2021
Reduced-Rank Regression with Operator Norm Error COLT 2021
Synchronization of Group-Labelled Multi-Graphs ICCV 2021
Normal Integration via Inverse Plane Fitting With Minimum Point-to-Plane Distance CVPR 2021