Mathematics & Optimization
19,283 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
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
'5
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'25
Papers (including subtopics)
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models
NeurIPS 2024
On Optimal Tradeoffs between EFX and Nash Welfare
AAAI 2024
On Parameter Estimation in Deviated Gaussian Mixture of Experts
AISTATS 2024
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
AAAI 2024
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
ICLR 2024
On Ranking-based Tests of Independence
AISTATS 2024
On Regularized Radon-Nikodym Differentiation
JMLR 2024
On Socially Fair Low-Rank Approximation and Column Subset Selection
NeurIPS 2024
On Sparse Canonical Correlation Analysis
NeurIPS 2024
On Statistical Learning Theory for Distributional Inputs
ICML 2024
On Sufficient Graphical Models
JMLR 2024
On Tail Decay Rate Estimation of Loss Function Distributions
JMLR 2024
On the Adversarial Robustness of Benjamini Hochberg
NeurIPS 2024
On the Capacitated Facility Location Problem with Scarce Resources
UAI 2024
On the Complexity of Finding Set Repairs for Data-Graphs (Abstract Reprint)
IJCAI 2024
On the Complexity of Finite-Sum Smooth Optimization under the Polyak–Łojasiewicz Condition
ICML 2024
On The Complexity of First-Order Methods in Stochastic Bilevel Optimization
ICML 2024
On the Complexity of Identification in Linear Structural Causal Models
NeurIPS 2024
On the Computational and Statistical Complexity of Over-parameterized Matrix Sensing
JMLR 2024
On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling
JMLR 2024
On the Computational Complexity of Private High-dimensional Model Selection
NeurIPS 2024
On the Connection between Lp- and Risk Consistency and its Implications on Regularized Kernel Methods
JMLR 2024
On the connection between Noise-Contrastive Estimation and Contrastive Divergence
AISTATS 2024
On the Consistency of Kernel Methods with Dependent Observations
ICML 2024
On the convergence of adaptive first order methods: Proximal gradient and alternating minimization algorithms
L4DC 2024