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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
Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses
AISTATS 2024
Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks
AISTATS 2024
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates
AAAI 2024
Data driven verification of positive invariant sets for discrete, nonlinear systems
L4DC 2024
Closing the Computational-Query Depth Gap in Parallel Stochastic Convex Optimization
COLT 2024
Multiple-output composite quantile regression through an optimal transport lens
COLT 2024
Data-driven robust covariance control for uncertain linear systems
L4DC 2024
On the convergence of adaptive first order methods: Proximal gradient and alternating minimization algorithms
L4DC 2024
Random features approximation for control-affine systems
L4DC 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
The behavioral toolbox
L4DC 2024
Convex approximations for a bi-level formulation of data-enabled predictive control
L4DC 2024
The Solution Path of SLOPE
AISTATS 2024
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
NIPS 2024
Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees
NIPS 2024
A Generic and Flexible Regularization Framework for NeRFs
WACV 2024
Poseidon: Efficient Foundation Models for PDEs
NIPS 2024
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
NIPS 2024
Lagrangian inspired polynomial estimator for black-box learning and control of underactuated systems
L4DC 2024
On the Nyström Approximation for Preconditioning in Kernel Machines
AISTATS 2024
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow
AISTATS 2024
An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates
JMLR 2024
Simulation-Free Training of Neural ODEs on Paired Data
NIPS 2024
Boundary Decomposition for Nadir Objective Vector Estimation
NIPS 2024
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