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)
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization
AAAI 2021
A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling
AISTATS 2021
A Complexity-theoretic Analysis of Green Pickup-and-Delivery Problems
AAAI 2021
A Comprehensively Tight Analysis of Gradient Descent for PCA
NeurIPS 2021
A Computationally Efficient Method for Learning Exponential Family Distributions
NeurIPS 2021
A Constant Approximation Algorithm for Sequential Random-Order No-Substitution k-Median Clustering
NeurIPS 2021
A constrained risk inequality for general losses
AISTATS 2021
A Continuous Mapping For Augmentation Design
NeurIPS 2021
A Corpus-based Syntactic Analysis of Two-termed Unlike Coordination
EMNLP 2021
A Cross-Dialectal Comparison of Apical Vowels in Beijing Mandarin, Northeastern Mandarin and Southwestern Mandarin: An EMA and Ultrasound Study
Interspeech 2021
ActiveEA: Active Learning for Neural Entity Alignment
EMNLP 2021
Active Learning for Distributionally Robust Level-Set Estimation
ICML 2021
Active Learning of Convex Halfspaces on Graphs
NeurIPS 2021
Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable
NeurIPS 2021
Active Slices for Sliced Stein Discrepancy
ICML 2021
Adapting to Delays and Data in Adversarial Multi-Armed Bandits
ICML 2021
Adapting to function difficulty and growth conditions in private optimization
NeurIPS 2021
Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback
AAAI 2021
Adaptive estimation of nonparametric functionals
JMLR 2021
Adaptive Experimental Design for Optimizing Combinatorial Structures
IJCAI 2021
Adaptive Extra-Gradient Methods for Min-Max Optimization and Games
ICLR 2021
Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements
NeurIPS 2021
Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities
AAAI 2021
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium
COLT 2021
Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality
ICML 2021