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)
Non-parametric Conditional Independence Testing for Mixed Continuous-Categorical Variables: A Novel Method and Numerical Evaluation
CLeaR 2025
Nonparametric Distributional Regression via Quantile Regression
AISTATS 2025
Nonparametric estimation of Hawkes processes with RKHSs
AISTATS 2025
Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds
JMLR 2025
Nonparametric Teaching for Graph Property Learners
ICML 2025
Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability
ICML 2025
Non-stochastic Bandits With Evolving Observations
ALT 2025
Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback
AAAI 2025
No-Regret Bayesian Optimization with Stochastic Observation Failures
AISTATS 2025
No-Regret is not enough! Bandits with General Constraints through Adaptive Regret Minimization
ICML 2025
Not in My Backyard! Temporal Voting Over Public Chores
IJCAI 2025
Number Theoretic Accelerated Learning of Physics-Informed Neural Networks
AAAI 2025
NuMDS: An Efficient Local Search Algorithm for Minimum Dominating Set Problem
IJCAI 2025
Of Dice and Games: A Theory of Generalized Boosting
COLT 2025
Off-Policy Evaluation under Nonignorable Missing Data
ICML 2025
Okapi: Decoupling Data Striping and Redundancy Grouping in Cluster File Systems
OSDI 2025
On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations
JMLR 2025
On Differential Privacy for Adaptively Solving Search Problems via Sketching
ICML 2025
On Distributional Discrepancy for Experimental Design with General Assignment Probabilities
AISTATS 2025
OneBatchPAM: A Fast and Frugal K-Medoids Algorithm
AAAI 2025
One for all and all for one: Efficient computation of partial Wasserstein distances on the line
ICLR 2025
One-Pass Feature Evolvable Learning with Theoretical Guarantees
ICML 2025
One-Step Generalization Ratio Guided Optimization for Domain Generalization
ICML 2025
On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control
JMLR 2025
On Information-Theoretic Measures of Predictive Uncertainty
UAI 2025