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)
Detecting Sources of Healthcare Associated Infections
AAAI 2023
Detection-Recovery and Detection-Refutation Gaps via Reductions from Planted Clique
COLT 2023
Detection-Recovery Gap for Planted Dense Cycles
COLT 2023
Deterministic Nonsmooth Nonconvex Optimization
COLT 2023
DevFormer: A Symmetric Transformer for Context-Aware Device Placement
ICML 2023
DIET: Conditional independence testing with marginal dependence measures of residual information
AISTATS 2023
Difference of submodular minimization via DC programming
ICML 2023
Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap
COLT 2023
Differentially Private and Lazy Online Convex Optimization
COLT 2023
Differentially Private Fair Division
AAAI 2023
Differentially Private Hypothesis Testing for Linear Regression
JMLR 2023
Differentially Private Matrix Completion through Low-rank Matrix Factorization
AISTATS 2023
Differentially Private Partial Set Cover with Applications to Facility Location
IJCAI 2023
Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited
UAI 2023
Differentially Private Stochastic Convex Optimization under a Quantile Loss Function
ICML 2023
DiffTune$^+$: Hyperparameter-Free Auto-Tuning using Auto-Differentiation
L4DC 2023
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling
JMLR 2023
Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks
NeurIPS 2023
Diffusion Models Beat GANs on Topology Optimization
AAAI 2023
Diffusion Representation for Asymmetric Kernels via Magnetic Transform
NeurIPS 2023
Diffusion Schrödinger Bridge Matching
NeurIPS 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
NeurIPS 2023
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting
AISTATS 2023
Dimensionality Reduction and Wasserstein Stability for Kernel Regression
JMLR 2023
Dimensionality Reduction for General KDE Mode Finding
ICML 2023