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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8
13
8
24
100
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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)
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization
NeurIPS 2023
Neural Markov Jump Processes
ICML 2023
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement
NeurIPS 2023
Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods
ICML 2023
Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective
ICML 2023
Neural Q-learning for solving PDEs
JMLR 2023
Neural Simulated Annealing
AISTATS 2023
Neural Stochastic Differential Games for Time-series Analysis
ICML 2023
NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries
NeurIPS 2023
New Bounds and Constraint Programming Models for the Weighted Vertex Coloring Problem
IJCAI 2023
NLPositionality: Characterizing Design Biases of Datasets and Models
ACL 2023
Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence Rate
AISTATS 2023
Non-Asymptotic Analysis of a UCB-based Top Two Algorithm
NeurIPS 2023
Non-asymptotic convergence bounds for Sinkhorn iterates and their gradients: a coupling approach.
COLT 2023
Non-Convex Bilevel Optimization with Time-Varying Objective Functions
NeurIPS 2023
Non-Euclidean Motion Planning with Graphs of Geodesically-Convex Sets
RSS 2023
Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations
L4DC 2023
Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities
ICLR 2023
Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery
AISTATS 2023
Nonparametric Density Estimation under Distribution Drift
ICML 2023
Nonparametric Extensions of Randomized Response for Private Confidence Sets
ICML 2023
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization
NeurIPS 2023
Nonstationary Bandit Learning via Predictive Sampling
AISTATS 2023
Non-stationary Experimental Design under Linear Trends
NeurIPS 2023
Non-stationary Online Learning with Memory and Non-stochastic Control
JMLR 2023