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Mathematics & Optimization

16,944 papers (0 classified directly here)

Subtopics

Optimization (12,959) Mathematics (5,735) Probability (519) Statistics (265) Discrete Mathematics (15)

Papers per year

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Papers (including subtopics)

Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond NIPS 2021
Private Non-smooth ERM and SCO in Subquadratic Steps NIPS 2021
Dynamic Analysis of Higher-Order Coordination in Neuronal Assemblies via De-Sparsified Orthogonal Matching Pursuit NIPS 2021
Learning to Learn Graph Topologies NIPS 2021
Efficient Bayesian network structure learning via local Markov boundary search NIPS 2021
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks NIPS 2021
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback NIPS 2021
$\texttt{LeadCache}$: Regret-Optimal Caching in Networks NIPS 2021
Regime Switching Bandits NIPS 2021
Localization, Convexity, and Star Aggregation NIPS 2021
Robust Online Correlation Clustering NIPS 2021
Diverse Message Passing for Attribute with Heterophily NIPS 2021
Greedy Approximation Algorithms for Active Sequential Hypothesis Testing NIPS 2021
Matrix encoding networks for neural combinatorial optimization NIPS 2021
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems NIPS 2021
Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions NIPS 2021
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures NIPS 2021
Parameter Inference with Bifurcation Diagrams NIPS 2021
Machine learning structure preserving brackets for forecasting irreversible processes NIPS 2021
Fast Pure Exploration via Frank-Wolfe NIPS 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data NIPS 2021
The Lazy Online Subgradient Algorithm is Universal on Strongly Convex Domains NIPS 2021
Hyperbolic Procrustes Analysis Using Riemannian Geometry NIPS 2021
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization NIPS 2021
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning NIPS 2021