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)
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers
ICML 2022
From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent
NeurIPS 2022
From Hyperbolic Geometry Back to Word Embeddings
ACL 2022
From Sampling to Optimization on Discrete Domains with Applications to Determinant Maximization
COLT 2022
FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting
JMLR 2022
Fully Automatic Balance between Directivity Factor and White Noise Gain for Large-scale Microphone Arrays in Diffuse Noise Fields
Interspeech 2022
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis
ICML 2022
Functional Linear Regression with Mixed Predictors
JMLR 2022
Functional Output Regression with Infimal Convolution: Exploring the Huber and $ε$-insensitive Losses
ICML 2022
Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity
AISTATS 2022
Fused Orthogonal Alternating Least Squares for Tensor Clustering
NeurIPS 2022
G$^2$CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters
ICML 2022
GAGA: Deciphering Age-path of Generalized Self-paced Regularizer
NeurIPS 2022
Game Balancing in Dominion: An Approach to Identifying Problematic Game Elements
AAAI 2022
Game Design for Better Security of Combination Locks
AAAI 2022
Game Redesign in No-regret Game Playing
IJCAI 2022
Gardner formula for Ising perceptron models at small densities
COLT 2022
GAR: Generalized Autoregression for Multi-Fidelity Fusion
NeurIPS 2022
Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits
JMLR 2022
General Cutting Planes for Bound-Propagation-Based Neural Network Verification
NeurIPS 2022
Generalised Implicit Neural Representations
NeurIPS 2022
Generalization Bounds for Data-Driven Numerical Linear Algebra
COLT 2022
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization
NeurIPS 2022
Generalized Bayesian quadrature with spectral kernels
UAI 2022
Generalized Kernel Thinning
ICLR 2022