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
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Papers (including subtopics)
Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update
NeurIPS 2021
Newton Method over Networks is Fast up to the Statistical Precision
ICML 2021
Newton Optimization on Helmholtz Decomposition for Continuous Games
AAAI 2021
NN-Baker: A Neural-network Infused Algorithmic Framework for Optimization Problems on Geometric Intersection Graphs
NeurIPS 2021
Noise Robust Pitch Stylization Using Minimum Mean Absolute Error Criterion
Interspeech 2021
Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization
AISTATS 2021
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm
NeurIPS 2021
Non-asymptotic convergence bounds for Wasserstein approximation using point clouds
NeurIPS 2021
Non-asymptotic Performance Guarantees for Neural Estimation of f-Divergences
AISTATS 2021
Non-conservative Design of Robust Tracking Controllers Based on Input-output Data
L4DC 2021
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
NeurIPS 2021
Non-Euclidean Differentially Private Stochastic Convex Optimization
COLT 2021
Non-Exponentially Weighted Aggregation: Regret Bounds for Unbounded Loss Functions
ICML 2021
Nonlinear Data-Enabled Prediction and Control
L4DC 2021
Nonlinear Functional Output Regression: A Dictionary Approach
AISTATS 2021
Nonparametric Continuous Sensor Registration
JMLR 2021
Nonparametric estimation of continuous DPPs with kernel methods
NeurIPS 2021
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons
JMLR 2021
Non-parametric Quantile Regression via the K-NN Fused Lasso
JMLR 2021
Non-Parametric Stochastic Sequential Assignment With Random Arrival Times
IJCAI 2021
Non-PSD matrix sketching with applications to regression and optimization
UAI 2021
Non-uniform Consistency of Online Learning with Random Sampling
ALT 2021
No-regret Algorithms for Capturing Events in Poisson Point Processes
ICML 2021
No-regret approximate inference via Bayesian optimisation
UAI 2021
No-regret Online Learning over Riemannian Manifolds
NeurIPS 2021