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← Optimization
Mathematics & Optimization
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Optimization
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Continuous Optimization
3907 directly classified 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
Physics-informed machine learning as a kernel method
COLT 2024
Data driven verification of positive invariant sets for discrete, nonlinear systems
L4DC 2024
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
AAAI 2024
Closing the Computational-Query Depth Gap in Parallel Stochastic Convex Optimization
COLT 2024
Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence
COLT 2024
A Generalized Neural Diffusion Framework on Graphs
AAAI 2024
Gap-Free Clustering: Sensitivity and Robustness of SDP
COLT 2024
Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems
AAAI 2024
Computation-Aware Learning for Stable Control with Gaussian Process
RSS 2024
Omnipredictors for regression and the approximate rank of convex functions
COLT 2024
A Generic and Flexible Regularization Framework for NeRFs
WACV 2024
On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport
JMLR 2024
Data-driven robust covariance control for uncertain linear systems
L4DC 2024
Graph Machine Learning through the Lens of Bilevel Optimization
AISTATS 2024
Multi-View Randomized Kernel Classification via Nonconvex Optimization
AAAI 2024
RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks
NIPS 2024
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization
AISTATS 2024
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
NIPS 2024
The behavioral toolbox
L4DC 2024
Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses
AISTATS 2024
Vector Quantile Regression on Manifolds
AISTATS 2024
Learning Discretized Neural Networks under Ricci Flow
JMLR 2024
Extragradient Type Methods for Riemannian Variational Inequality Problems
AISTATS 2024
Backward Filtering Forward Deciding in Linear Non-Gaussian State Space Models
AISTATS 2024
Consistent Multiclass Algorithms for Complex Metrics and Constraints
JMLR 2024
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