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Mathematics & Optimization

19,283 papers (0 classified directly here)

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Papers (including subtopics)

Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective IJCAI 2023 Understanding the impact of host networking elements on traffic bursts NSDI 2023 Understanding the Role of Feedback in Online Learning with Switching Costs ICML 2023 Unexpected Improvements to Expected Improvement for Bayesian Optimization NeurIPS 2023 Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints NeurIPS 2023 Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics AISTATS 2023 Uniform-in-time propagation of chaos for the mean-field gradient Langevin dynamics ICLR 2023 Unifying Core-Guided and Implicit Hitting Set Based Optimization IJCAI 2023 Unifying Nesterov’s Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions ICML 2023 Universal Bias Reduction in Estimation of Smooth Additive Function in High Dimensions ALT 2023 Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization NeurIPS 2023 Universality laws for Gaussian mixtures in generalized linear models NeurIPS 2023 Universality of Langevin Diffusion for Private Optimization, with Applications to Sampling from Rashomon Sets COLT 2023 Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach NeurIPS 2023 Unlocking unallocated cloud capacity for long, uninterruptible workloads NSDI 2023 Unsupervised Learning for Solving the Travelling Salesman Problem NeurIPS 2023 Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction CVPR 2023 Untangled: A Complete Dynamic Topological Logic AAAI 2023 User-Controllable Arbitrary Style Transfer via Entropy Regularization AAAI 2023 User-level Private Stochastic Convex Optimization with Optimal Rates ICML 2023 Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms COLT 2023 Utilitarian Algorithm Configuration NeurIPS 2023 Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising AAAI 2023 Validation of composite systems by discrepancy propagation UAI 2023 Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency COLT 2023