Mathematics & Optimization
19,283 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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2
8
13
8
24
100
100
125
139
182
227
311
530
574
599
676
880
1,053
1,491
1,739
1,880
1,904
2,070
2,345
1,785
517
2000
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Papers (including subtopics)
Split, count, and share: a differentially private set intersection cardinality estimation protocol
UAI 2023
SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem
AAAI 2023
Splitting Answer Set Programs with Respect to Intensionality Statements
AAAI 2023
SQ Lower Bounds for Learning Mixtures of Separated and Bounded Covariance Gaussians
COLT 2023
SQ Lower Bounds for Random Sparse Planted Vector Problem
ALT 2023
Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems
COLT 2023
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm
NeurIPS 2023
Stable Nonconvex-Nonconcave Training via Linear Interpolation
NeurIPS 2023
Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures
NeurIPS 2023
Statistical Analysis of Karcher Means for Random Restricted PSD Matrices
AISTATS 2023
Statistical and Computational Limits for Tensor-on-Tensor Association Detection
COLT 2023
Statistical and Computational Trade-off in Multi-Agent Multi-Armed Bandits
NeurIPS 2023
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance
JMLR 2023
Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression
COLT 2023
Statistical Efficiency of Score Matching: The View from Isoperimetry
ICLR 2023
Statistical Inference and A/B Testing for First-Price Pacing Equilibria
ICML 2023
Statistical Inference for Fisher Market Equilibrium
ICLR 2023
Statistical Inference for Noisy Incomplete Binary Matrix
JMLR 2023
Statistical Insights into HSIC in High Dimensions
NeurIPS 2023
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference
NeurIPS 2023
Statistical Robustness of Empirical Risks in Machine Learning
JMLR 2023
STay-ON-the-Ridge: Guaranteed Convergence to Local Minimax Equilibrium in Nonconvex-Nonconcave Games
COLT 2023
Stealthy Terrain-Aware Multi-Agent Active Search
CoRL 2023
StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation
NeurIPS 2023
Stein Π-Importance Sampling
NeurIPS 2023