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Methodology
← Optimization
Mathematics & Optimization
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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
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
NIPS 2020
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form
NIPS 2020
Piecewise Linear Regression via a Difference of Convex Functions
ICML 2020
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
JMLR 2020
Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning
AISTATS 2020
Distributionally Robust Local Non-parametric Conditional Estimation
NIPS 2020
Learning Context-free Languages with Nondeterministic Stack RNNs
EMNLP 2020
Improved Algorithms for Convex-Concave Minimax Optimization
NIPS 2020
Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm
NIPS 2020
Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits
NIPS 2020
Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function
NIPS 2020
Decisions, Counterfactual Explanations and Strategic Behavior
NIPS 2020
Amortized Finite Element Analysis for Fast PDE-Constrained Optimization
ICML 2020
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
ICML 2020
Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling
ICML 2020
Conditional gradient methods for stochastically constrained convex minimization
ICML 2020
Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings
CVPR 2020
New Oracle-Efficient Algorithms for Private Synthetic Data Release
ICML 2020
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering
NIPS 2020
Learning Feature Sparse Principal Subspace
NIPS 2020
A Single Recipe for Online Submodular Maximization with Adversarial or Stochastic Constraints
NIPS 2020
Kernel Methods Through the Roof: Handling Billions of Points Efficiently
NIPS 2020
Joint Graph-Based Depth Refinement and Normal Estimation
CVPR 2020
Linear Time Sinkhorn Divergences using Positive Features
NIPS 2020
Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization
NIPS 2020
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