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← Optimization
Mathematics & Optimization
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Optimization
›
Continuous Optimization
3,907 papers
Papers per year
2001: 1
2002: 2
2004: 2
2005: 6
2006: 16
2007: 22
2008: 29
2009: 27
2010: 38
2011: 44
2012: 78
2013: 146
2014: 172
2015: 155
2016: 188
2017: 223
2018: 260
2019: 393
2020: 367
2021: 395
2022: 418
2023: 423
2024: 320
2025: 154
2026: 28
Papers
ELLIPSDF: Joint Object Pose and Shape Optimization With a Bi-Level Ellipsoid and Signed Distance Function Description
ICCV 2021
Generalized Spectral Clustering via Gromov-Wasserstein Learning
AISTATS 2021
XOR-SGD: provable convex stochastic optimization for decision-making under uncertainty
UAI 2021
A Stochastic Newton Algorithm for Distributed Convex Optimization
NIPS 2021
Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization
AISTATS 2021
Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm
ICML 2021
Softmax Tree: An Accurate, Fast Classifier When the Number of Classes Is Large
EMNLP 2021
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems
L4DC 2021
Finding First-Order Nash Equilibria of Zero-Sum Games with the Regularized Nikaido-Isoda Function
AISTATS 2021
Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing
ICML 2021
A Modular Analysis of Provable Acceleration via Polyak’s Momentum: Training a Wide ReLU Network and a Deep Linear Network
ICML 2021
Explicit loss asymptotics in the gradient descent training of neural networks
NIPS 2021
Fast Pose Graph Optimization via Krylov-Schur and Cholesky Factorization
WACV 2021
Moreau-Yosida $f$-divergences
ICML 2021
Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss
COLT 2021
Localized Simple Multiple Kernel K-Means
ICCV 2021
Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws
AAAI 2021
Dimensionality Reduction for Wasserstein Barycenter
NIPS 2021
Continuum-Armed Bandits: A Function Space Perspective
AISTATS 2021
Higher-order Derivatives of Weighted Finite-state Machines
IJCNLP 2021
A Continuous Mapping For Augmentation Design
NIPS 2021
Projection-free Online Learning over Strongly Convex Sets
AAAI 2021
Learning a Gradient-free Riemannian Optimizer on Tangent Spaces
AAAI 2021
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis
NIPS 2021
Normal Integration via Inverse Plane Fitting With Minimum Point-to-Plane Distance
CVPR 2021
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