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
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)
Robust Multi-fidelity Bayesian Optimization with Deep Kernel and Partition
AISTATS 2025
Robust Multi-view Co-expression Network Inference
CLeaR 2025
Robustness of Quantum Algorithms for Nonconvex Optimization
ICLR 2025
Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
AAAI 2025
Robust Point Matching with Distance Profiles
JMLR 2025
Robust random graph matching in Gaussian models via vector approximate message passing
COLT 2025
Robust Sparsification via Sensitivity
ICML 2025
Robust System Identification: Finite-sample Guarantees and Connection to Regularization
ICLR 2025
Rolling in Classical Planning with Conditional Effects and Constraints
IJCAI 2025
Root Defense Strategies: Ensuring Safety of LLM at the Decoding Level
ACL 2025
Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces
AAAI 2025
Runtime Analysis of Evolutionary NAS for Multiclass Classification
ICML 2025
Safely Learning Optimal Auctions: A Testable Learning Framework for Mechanism Design
ICML 2025
Safe Online Convex Optimization with Heavy-Tailed Observation Noises
AAAI 2025
Safe PDE Boundary Control with Neural Operators
L4DC 2025
Safety in the Face of Adversity: Achieving Zero Constraint Violation in Online Learning with Slowly Changing Constraints
AISTATS 2025
Sample-aware Adaptive Structured Pruning for Large Language Models
AAAI 2025
Sample Complexity of Branch-length Estimation by Maximum Likelihood
ICML 2025
Sample Complexity of Correlation Detection in the Gaussian Wigner Model
ICML 2025
Sample Efficient Omniprediction and Downstream Swap Regret for Non-Linear Losses
COLT 2025
Sampling and Estimation on Manifolds using the Langevin Diffusion
JMLR 2025
Sampling from Binary Quadratic Distributions via Stochastic Localization
ICML 2025
Sampling in High-Dimensions using Stochastic Interpolants and Forward-Backward Stochastic Differential Equations
AISTATS 2025
SAVA: Scalable Learning-Agnostic Data Valuation
ICLR 2025
Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up
ICML 2025