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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
Editable Image Geometric Abstraction via Neural Primitive Assembly
ICCV 2023
Dynamic Flows on Curved Space Generated by Labeled Data
IJCAI 2023
Optimal Sample Complexity Bounds for Non-convex Optimization under Kurdyka-Lojasiewicz Condition
AISTATS 2023
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting
AISTATS 2023
High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent
AISTATS 2023
Coordinate Descent for SLOPE
AISTATS 2023
Conjugate Gradient Method for Generative Adversarial Networks
AISTATS 2023
Sampling From a Schrödinger Bridge
AISTATS 2023
Efficient displacement convex optimization with particle gradient descent
ICML 2023
Improved Rate of First Order Algorithms for Entropic Optimal Transport
AISTATS 2023
{PF}$^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization
AISTATS 2023
Estimating virtual targets for lingual stop consonants using general Tau theory
INTERSPEECH 2023
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction
ICML 2023
Fast Block Coordinate Descent for Non-Convex Group Regularizations
AISTATS 2023
Fast Computation of Branching Process Transition Probabilities via ADMM
AISTATS 2023
Coordinate Descent Methods for Fractional Minimization
ICML 2023
Mixed Linear Regression via Approximate Message Passing
AISTATS 2023
Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite Programming
ICML 2023
Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm.
ICML 2023
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data
AISTATS 2023
Low-complexity Broadband Beampattern Synthesis using Array Response Control
INTERSPEECH 2023
Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks?
ICML 2023
Safe Interval Path Planning with Kinodynamic Constraints
AAAI 2023
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes
AISTATS 2023
On Coresets for Clustering in Small Dimensional Euclidean spaces
ICML 2023
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