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Continuous Optimization

3,907 papers

Papers per year

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38
155
367
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Papers

Explicit loss asymptotics in the gradient descent training of neural networks NIPS 2021
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets ICML 2021
Langevin Monte Carlo: random coordinate descent and variance reduction JMLR 2021
Enabling long-range exploration in minimization of multimodal functions UAI 2021
Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing AAAI 2021
Normal Integration via Inverse Plane Fitting With Minimum Point-to-Plane Distance CVPR 2021
Saturated Post-hoc Optimization for Classical Planning AAAI 2021
Modality-Agnostic Topology Aware Localization NIPS 2021
Decentralized Riemannian Gradient Descent on the Stiefel Manifold ICML 2021
Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation AISTATS 2021
Single Pass Entrywise-Transformed Low Rank Approximation ICML 2021
Hadamard Wirtinger Flow for Sparse Phase Retrieval AISTATS 2021
POT: Python Optimal Transport JMLR 2021
Outlier-Robust Optimal Transport ICML 2021
Fair and Interpretable Algorithmic Hiring using Evolutionary Many Objective Optimization AAAI 2021
Projection-Free Bandit Optimization with Privacy Guarantees AAAI 2021
Learning to Learn Graph Topologies NIPS 2021
On efficient multilevel Clustering via Wasserstein distances JMLR 2021
ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation ICML 2021
Matrix Completion with Model-free Weighting ICML 2021
Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm JMLR 2021
Differentially Private Query Release Through Adaptive Projection ICML 2021
General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds NIPS 2021
Maximization of Monotone $k$-Submodular Functions with Bounded Curvature and Non-$k$-Submodular Functions ACML 2021
Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging CVPR 2021