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Methodology
← Optimization
Mathematics & Optimization
›
Optimization
›
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
Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems
AAAI 2024
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow
AISTATS 2024
Optimal Transport for Measures with Noisy Tree Metric
AISTATS 2024
Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks
AISTATS 2024
On the Nyström Approximation for Preconditioning in Kernel Machines
AISTATS 2024
Fitting ARMA Time Series Models without Identification: A Proximal Approach
AISTATS 2024
Acceleration and Implicit Regularization in Gaussian Phase Retrieval
AISTATS 2024
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate
AISTATS 2024
A Generalized Neural Diffusion Framework on Graphs
AAAI 2024
Data driven verification of positive invariant sets for discrete, nonlinear systems
L4DC 2024
SDEs for Minimax Optimization
AISTATS 2024
Penalized Overdamped and Underdamped Langevin Monte Carlo Algorithms for Constrained Sampling
JMLR 2024
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
AAAI 2024
Efficient Learning in Polyhedral Games via Best-Response Oracles
AAAI 2024
Wasserstein distributionally robust regret-optimal control over infinite-horizon
L4DC 2024
Convex approximations for a bi-level formulation of data-enabled predictive control
L4DC 2024
Lagrangian inspired polynomial estimator for black-box learning and control of underactuated systems
L4DC 2024
On the Unstable Convergence Regime of Gradient Descent
AAAI 2024
Random features approximation for control-affine systems
L4DC 2024
Recursively feasible shrinking-horizon MPC in dynamic environments with conformal prediction guarantees
L4DC 2024
The Price of Adaptivity in Stochastic Convex Optimization
COLT 2024
skscope: Fast Sparsity-Constrained Optimization in Python
JMLR 2024
Functional optimal transport: regularized map estimation and domain adaptation for functional data
JMLR 2024
Consistent Multiclass Algorithms for Complex Metrics and Constraints
JMLR 2024
The behavioral toolbox
L4DC 2024
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