Optimization

Uncertainty quantification of set-membership estimation in control and perception: Revisiting the minimum enclosing ellipsoid L4DC 2024 Uncertainty Regularized Evidential Regression AAAI 2024 Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise ICML 2024 Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective ACL 2024 Understanding and Improving Training-free Loss-based Diffusion Guidance NeurIPS 2024 Understanding Certified Training with Interval Bound Propagation ICLR 2024 Understanding Entropic Regularization in GANs JMLR 2024 Understanding In-Context Learning from Repetitions ICLR 2024 Understanding Progressive Training Through the Framework of Randomized Coordinate Descent AISTATS 2024 Understanding the Training Speedup from Sampling with Approximate Losses ICML 2024 UniADS: Universal Architecture-Distiller Search for Distillation Gap AAAI 2024 Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement NeurIPS 2024 Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding ACL 2024 Uniformly Stable Algorithms for Adversarial Training and Beyond ICML 2024 Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models ICML 2024 UniPTS: A Unified Framework for Proficient Post-Training Sparsity CVPR 2024 United We Stand: Accelerating Privacy-Preserving Neural Inference by Conjunctive Optimization with Interleaved Nexus AAAI 2024 Universal Gradient Methods for Stochastic Convex Optimization ICML 2024 Universality in Transfer Learning for Linear Models NeurIPS 2024 Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction NeurIPS 2024 Universal Online Convex Optimization with $1$ Projection per Round NeurIPS 2024 Universal Sample Coding NeurIPS 2024 Unknown Domain Inconsistency Minimization for Domain Generalization ICLR 2024 Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems NeurIPS 2024 Unleashing the Potential of Large Language Models through Spectral Modulation EMNLP 2024