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)
Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank Approximation
AISTATS 2023
Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs
ALT 2023
Improved Kernel Alignment Regret Bound for Online Kernel Learning
AAAI 2023
Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis
ICML 2023
Improved Online Conformal Prediction via Strongly Adaptive Online Learning
ICML 2023
Improved Online Learning Algorithms for CTR Prediction in Ad Auctions
ICML 2023
Improved Powered Stochastic Optimization Algorithms for Large-Scale Machine Learning
JMLR 2023
Improved Rate of First Order Algorithms for Entropic Optimal Transport
AISTATS 2023
Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network
NeurIPS 2023
Improving multiple-try Metropolis with local balancing
JMLR 2023
Improving Pareto Front Learning via Multi-Sample Hypernetworks
AAAI 2023
Improving the Knowledge Gradient Algorithm
NeurIPS 2023
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners
NeurIPS 2023
Improving word mover’s distance by leveraging self-attention matrix
EMNLP 2023
IMPsys: An Intelligent Mold Processing System for Smart Factory
IJCAI 2023
Incentive-aware Contextual Pricing with Non-parametric Market Noise
AISTATS 2023
Incentive-Boosted Federated Crowdsourcing
AAAI 2023
Incentivizing Exploration with Linear Contexts and Combinatorial Actions
ICML 2023
Increasing effect sizes of pairwise conditional independence tests between random vectors
UAI 2023
Incremental Aggregated Riemannian Gradient Method for Distributed PCA
AISTATS 2023
Individually Fair Learning with One-Sided Feedback
ICML 2023
Inference and sampling of point processes from diffusion excursions
UAI 2023
Inference for a Large Directed Acyclic Graph with Unspecified Interventions
JMLR 2023
Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds
JMLR 2023
Inference of a rumor’s source in the independent cascade model
UAI 2023