approximation error

ApET: Approximation-Error Guided Token Compression for Efficient VLMs CVPR 2026 Approximations and Learning for Continuous State and Action MDPs under Average Cost Criteria JMLR 2026 The Median is Easier than it Looks: Approximation with a Constant-Depth, Linear-Width ReLU Network COLT 2026 The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms AAAI 2026 A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations IJCAI 2025 Deep Generative Models: Complexity, Dimensionality, and Approximation JMLR 2025 Do Influence Functions Work on Large Language Models? EMNLP 2025 Efficient Bisection Projection to Ensure Neural-Network Solution Feasibility for Optimization over General Set ICML 2025 Efficiently Access Diffusion Fisher: Within the Outer Product Span Space ICML 2025 Generalization error bound for denoising score matching under relaxed manifold assumption COLT 2025 Improved Algorithms for Effective Resistance Computation on Graphs COLT 2025 On the Price of Differential Privacy for Hierarchical Clustering ICLR 2025 Propagation of Chaos for Mean-Field Langevin Dynamics and its Application to Model Ensemble ICML 2025 Quantifying Overfitting along the Regularization Path for Two-Part-Code MDL in Supervised Classification COLT 2025 Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier ICLR 2025 Approximately Piecewise E(3) Equivariant Point Networks ICLR 2024 Characterizing ResNet’s Universal Approximation Capability ICML 2024 Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors NeurIPS 2024 FedBAT: Communication-Efficient Federated Learning via Learnable Binarization ICML 2024 In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization NeurIPS 2024 Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization NeurIPS 2024 On Sampling Strategies for Spectral Model Sharding NeurIPS 2024 Piecewise regression via mixed-integer programming for MPC L4DC 2024 Quantifying Local Model Validity using Active Learning UAI 2024 Sample-specific Masks for Visual Reprogramming-based Prompting ICML 2024