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)
On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport
JMLR 2024
On the Convergence of Projected Bures-Wasserstein Gradient Descent under Euclidean Strong Convexity
ICML 2024
On the Error-Propagation of Inexact Hotelling’s Deflation for Principal Component Analysis
ICML 2024
On the estimation of persistence intensity functions and linear representations of persistence diagrams
AISTATS 2024
On the Expected Size of Conformal Prediction Sets
AISTATS 2024
On the Expressive Power of Tree-Structured Probabilistic Circuits
NeurIPS 2024
On the Expressivity of Recurrent Neural Cascades
AAAI 2024
On the Hardness of Online Nonconvex Optimization with Single Oracle Feedback
ICLR 2024
On the Hyperparameters in Stochastic Gradient Descent with Momentum
JMLR 2024
On the Implicit Bias of Adam
ICML 2024
On the Lasso for Graphical Continuous Lyapunov Models
CLeaR 2024
On the Last-Iterate Convergence of Shuffling Gradient Methods
ICML 2024
On the Limitations of Fractal Dimension as a Measure of Generalization
NeurIPS 2024
On the Maximal Local Disparity of Fairness-Aware Classifiers
ICML 2024
On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice
NeurIPS 2024
On the Necessity of Collaboration for Online Model Selection with Decentralized Data
NeurIPS 2024
On the Nyström Approximation for Preconditioning in Kernel Machines
AISTATS 2024
On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games
NeurIPS 2024
On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives
JMLR 2024
On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization
NeurIPS 2024
On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria
AAAI 2024
On the Parameter Identifiability of Partially Observed Linear Causal Models
NeurIPS 2024
On the Power of Small-size Graph Neural Networks for Linear Programming
NeurIPS 2024
On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: a regret lower bound for WSU-UX
AISTATS 2024
On the Privacy of Selection Mechanisms with Gaussian Noise
AISTATS 2024