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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)

Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem NIPS 2022
Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss NIPS 2022
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection NIPS 2022
Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models NIPS 2022
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning NIPS 2022
Online Frank-Wolfe with Arbitrary Delays NIPS 2022
Lipschitz Bandits with Batched Feedback NIPS 2022
Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets NIPS 2022
Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems NIPS 2022
A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization NIPS 2022
Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited NIPS 2022
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces NIPS 2022
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance NIPS 2022
Smooth Fictitious Play in Stochastic Games with Perturbed Payoffs and Unknown Transitions NIPS 2022
Algorithms with Prediction Portfolios NIPS 2022
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs NIPS 2022
Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret NIPS 2022
Optimal and Adaptive Monteiro-Svaiter Acceleration NIPS 2022
Constrained Langevin Algorithms with L-mixing External Random Variables NIPS 2022
Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget NIPS 2022
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness NIPS 2022
Dynamic Learning in Large Matching Markets NIPS 2022
A Fourier Approach to Mixture Learning NIPS 2022
Pessimism for Offline Linear Contextual Bandits using $\ell_p$ Confidence Sets NIPS 2022
Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions NIPS 2022