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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
Variational Weighting for Kernel Density Ratios
NIPS 2023
An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization
NIPS 2023
Unbalanced Optimal Transport for Unbalanced Word Alignment
ACL 2023
Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking
NIPS 2023
Progressively Optimized Local Radiance Fields for Robust View Synthesis
CVPR 2023
Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing
NIPS 2023
CMOT: Cross-modal Mixup via Optimal Transport for Speech Translation
ACL 2023
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing
NIPS 2023
Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization
NIPS 2023
Convex Bounds on the Softmax Function with Applications to Robustness Verification
AISTATS 2023
Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures
ICML 2023
Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs
ICML 2023
PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems
NIPS 2023
A Nearly-Optimal Bound for Fast Regression with $\ell_∞$ Guarantee
ICML 2023
Efficient Semiring-Weighted Earley Parsing
ACL 2023
Radial Basis Approximation of Tensor Fields on Manifolds: From Operator Estimation to Manifold Learning
JMLR 2023
Learning-Rate-Free Learning by D-Adaptation
ICML 2023
Operator learning with PCA-Net: upper and lower complexity bounds
JMLR 2023
Validation of composite systems by discrepancy propagation
UAI 2023
Zeroth-Order Alternating Gradient Descent Ascent Algorithms for A Class of Nonconvex-Nonconcave Minimax Problems
JMLR 2023
Global optimality for Euclidean CCCP under Riemannian convexity
ICML 2023
KrADagrad: Kronecker approximation-domination gradient preconditioned stochastic optimization
UAI 2023
Optimal Pricing Schemes for Identical Items with Time-Sensitive Buyers
AAAI 2023
Beyond the Golden Ratio for Variational Inequality Algorithms
JMLR 2023
DRCFS: Doubly Robust Causal Feature Selection
ICML 2023
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