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← Optimization
Mathematics & Optimization
›
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
Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion
AAAI 2021
PenDer: Incorporating Shape Constraints via Penalized Derivatives
AAAI 2021
Saturated Post-hoc Optimization for Classical Planning
AAAI 2021
GO Hessian for Expectation-Based Objectives
AAAI 2021
Pareto Optimization for Subset Selection with Dynamic Partition Matroid Constraints
AAAI 2021
Graph Learning for Inverse Landscape Genetics
AAAI 2021
Fair and Interpretable Algorithmic Hiring using Evolutionary Many Objective Optimization
AAAI 2021
Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing
AAAI 2021
Vocabulary Learning via Optimal Transport for Neural Machine Translation
ACL 2021
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds
ACML 2021
Skew-symmetrically perturbed gradient flow for convex optimization
ACML 2021
Efficient Coreset Constructions via Sensitivity Sampling
ACML 2021
Maximization of Monotone $k$-Submodular Functions with Bounded Curvature and Non-$k$-Submodular Functions
ACML 2021
Projection-Free Optimization on Uniformly Convex Sets
AISTATS 2021
Differentiable Greedy Algorithm for Monotone Submodular Maximization: Guarantees, Gradient Estimators, and Applications
AISTATS 2021
CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices
AISTATS 2021
Alternating Direction Method of Multipliers for Quantization
AISTATS 2021
Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation
AISTATS 2021
Approximate Message Passing with Spectral Initialization for Generalized Linear Models
AISTATS 2021
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm
AISTATS 2021
Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates
AISTATS 2021
A Deterministic Streaming Sketch for Ridge Regression
AISTATS 2021
Kernel regression in high dimensions: Refined analysis beyond double descent
AISTATS 2021
Generalized Spectral Clustering via Gromov-Wasserstein Learning
AISTATS 2021
Scalable Constrained Bayesian Optimization
AISTATS 2021
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