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Methodology
← 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
Hierarchical Multi-Marginal Optimal Transport for Network Alignment
AAAI 2024
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning
JMLR 2024
Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design
JMLR 2024
Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference
AAAI 2024
Fair and Optimal Prediction via Post-Processing
AAAI 2024
An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization
AAAI 2024
Optimal Transport with Cyclic Symmetry
AAAI 2024
Efficient Nonparametric Tensor Decomposition for Binary and Count Data
AAAI 2024
An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization
JMLR 2024
Faster Rates of Differentially Private Stochastic Convex Optimization
JMLR 2024
Learning Reduced Fluid Dynamics
AAAI 2024
A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems
AAAI 2024
Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases
AISTATS 2024
TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization
AAAI 2024
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates
AAAI 2024
Online Markov Decision Processes Configuration with Continuous Decision Space
AAAI 2024
Structured Transforms Across Spaces with Cost-Regularized Optimal Transport
AISTATS 2024
Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization
JMLR 2024
Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method
AISTATS 2024
Robust Non-linear Normalization of Heterogeneous Feature Distributions with Adaptive Tanh-Estimators
AISTATS 2024
A General Algorithm for Solving Rank-one Matrix Sensing
AISTATS 2024
Entropic Gromov-Wasserstein Distances: Stability and Algorithms
JMLR 2024
Quantum algorithm for large-scale market equilibrium computation
NIPS 2024
Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures
AAAI 2024
Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract)
AAAI 2024
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