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)
Estimating the Arc Length of the Optimal ROC Curve and Lower Bounding the Maximal AUC
NeurIPS 2022
Estimating the Entropy of Linguistic Distributions
ACL 2022
Estimating transfer entropy under long ranged dependencies
UAI 2022
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing
ICML 2022
Estimation of Entropy in Constant Space with Improved Sample Complexity
NeurIPS 2022
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness
NeurIPS 2022
Evaluating Extreme Hierarchical Multi-label Classification
ACL 2022
Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning
ICLR 2022
Exact Community Recovery in Correlated Stochastic Block Models
COLT 2022
Exact Community Recovery over Signed Graphs
AISTATS 2022
Exact Learning of Preference Structure: Single-peaked Preferences and Beyond
ICML 2022
Exact Optimal Accelerated Complexity for Fixed-Point Iterations
ICML 2022
Exact Paired-Permutation Testing for Structured Test Statistics
NAACL 2022
Exact Partitioning of High-order Models with a Novel Convex Tensor Cone Relaxation
JMLR 2022
Exact simulation of diffusion first exit times: algorithm acceleration
JMLR 2022
Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learning
NeurIPS 2022
Expected Regret and Pseudo-Regret are Equivalent When the Optimal Arm is Unique
JMLR 2022
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces
NeurIPS 2022
Explainable Shapley-Based Allocation (Student Abstract)
AAAI 2022
Explaining Preferences by Multiple Patterns in Voters’ Behavior
IJCAI 2022
Explaining Soft-Goal Conflicts through Constraint Relaxations
IJCAI 2022
Explain My Surprise: Learning Efficient Long-Term Memory by predicting uncertain outcomes
NeurIPS 2022
Explicit Convergence Rates of Greedy and Random Quasi-Newton Methods
JMLR 2022
Exploitability Minimization in Games and Beyond
NeurIPS 2022
Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank Preference Bandits
AISTATS 2022