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
'5
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'25
Papers (including subtopics)
Learning from a Sample in Online Algorithms
NeurIPS 2022
Learning from Distributed Users in Contextual Linear Bandits Without Sharing the Context
NeurIPS 2022
Learning Green's functions associated with time-dependent partial differential equations
JMLR 2022
Learning Hierarchy-Aware Quaternion Knowledge Graph Embeddings with Representing Relations as 3D Rotations
COLING 2022
Learning in Congestion Games with Bandit Feedback
NeurIPS 2022
Learning Influence Adoption in Heterogeneous Networks
AAAI 2022
Learning in Stochastic Monotone Games with Decision-Dependent Data
AISTATS 2022
Learning interacting dynamical systems with latent Gaussian process ODEs
NeurIPS 2022
Learning Interface Conditions in Domain Decomposition Solvers
NeurIPS 2022
Learning large Bayesian networks with expert constraints
UAI 2022
Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics
AAAI 2022
Learning Linear Models Using Distributed Iterative Hessian Sketching
L4DC 2022
Learning linear non-Gaussian directed acyclic graph with diverging number of nodes
JMLR 2022
Learning Low Degree Hypergraphs
COLT 2022
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits
ICML 2022
Learning Mixed Multinomial Logits with Provable Guarantees
NeurIPS 2022
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning
NeurIPS 2022
Learning on the Edge: Online Learning with Stochastic Feedback Graphs
NeurIPS 2022
Learning Predictions for Algorithms with Predictions
NeurIPS 2022
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training
JMLR 2022
Learning Riemannian Stable Dynamical Systems via Diffeomorphisms
CoRL 2022
Learning Synthetic Environments and Reward Networks for Reinforcement Learning
ICLR 2022
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences
AAAI 2022
Learning the Optimal Recommendation from Explorative Users
AAAI 2022
Learning the Structure of Large Networked Systems Obeying Conservation Laws
NeurIPS 2022