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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'25
Papers (including subtopics)
Online Pricing for Multi-User Multi-Item Markets
NeurIPS 2023
Online Random Feature Forests for Learning in Varying Feature Spaces
AAAI 2023
Online Reinforcement Learning in Stochastic Continuous-Time Systems
COLT 2023
Online robust non-stationary estimation
NeurIPS 2023
Online Saddle Point Tracking with Decision-Dependent Data
L4DC 2023
Online Self-Concordant and Relatively Smooth Minimization, With Applications to Online Portfolio Selection and Learning Quantum States
ALT 2023
Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval
JMLR 2023
Online Symbolic Regression with Informative Query
AAAI 2023
Online Task Assignment with Controllable Processing Time
IJCAI 2023
On Lower Bounds for Maximin Share Guarantees
IJCAI 2023
On Optimal Strategies for Wordle and General Guessing Games
IJCAI 2023
On Preemption and Learning in Stochastic Scheduling
ICML 2023
On Private and Robust Bandits
NeurIPS 2023
On Robust Streaming for Learning with Experts: Algorithms and Lower Bounds
NeurIPS 2023
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds
AAAI 2023
On the Accelerated Noise-Tolerant Power Method
AISTATS 2023
On the Compilability of Bounded Numeric Planning
IJCAI 2023
On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence
NeurIPS 2023
On the complexity of finding stationary points of smooth functions in one dimension
ALT 2023
On the Complexity of Representation Learning in Contextual Linear Bandits
AISTATS 2023
On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results
JMLR 2023
On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis
NeurIPS 2023
On the Convergence of AdaGrad(Norm) on R^d: Beyond Convexity, Non-Asymptotic Rate and Acceleration
ICLR 2023
On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network
AISTATS 2023
On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation
CVPR 2023