Optimization

Nearly d-Linear Convergence Bounds for Diffusion Models via Stochastic Localization ICLR 2024 Nearly Optimal Approximation of Matrix Functions by the Lanczos Method NeurIPS 2024 Nearly Tight Black-Box Auditing of Differentially Private Machine Learning NeurIPS 2024 Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization JMLR 2024 Near-Optimal Convex Simple Bilevel Optimization with a Bisection Method AISTATS 2024 Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity NeurIPS 2024 Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs NeurIPS 2024 Near-Optimality of Contrastive Divergence Algorithms NeurIPS 2024 Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback ICML 2024 Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers AAAI 2024 Near-Optimal Solutions of Constrained Learning Problems ICLR 2024 Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD NeurIPS 2024 Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization EMNLP 2024 NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration ECCV 2024 Nesterov acceleration despite very noisy gradients NeurIPS 2024 Netcastle: Network Infrastructure Testing At Scale NSDI 2024 NetInfoF Framework: Measuring and Exploiting Network Usable Information ICLR 2024 Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms NeurIPS 2024 Neur2BiLO: Neural Bilevel Optimization NeurIPS 2024 Neur2RO: Neural Two-Stage Robust Optimization ICLR 2024 Neural Auto-designer for Enhanced Quantum Kernels ICLR 2024 Neural Collapse in Multi-label Learning with Pick-all-label Loss ICML 2024 Neural Combinatorial Optimization for Robust Routing Problem with Uncertain Travel Times NeurIPS 2024 Neural Cover Selection for Image Steganography NeurIPS 2024 Neural Krylov Iteration for Accelerating Linear System Solving NeurIPS 2024