Optimization

A New Theoretical Perspective on Data Heterogeneity in Federated Optimization ICML 2024 An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations NeurIPS 2024 An improved analysis of per-sample and per-update clipping in federated learning ICLR 2024 An Inexact Projected Regularized Newton Method for Fused Zero-norms Regularization Problems JMLR 2024 An Information Theoretic Approach to Interaction-Grounded Learning ICML 2024 An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations AAAI 2024 An invariant information geometric method for high-dimensional online optimization L4DC 2024 An N-Point Linear Solver for Line and Motion Estimation with Event Cameras CVPR 2024 A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Any Translation ACL 2024 A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem AAAI 2024 Ansatz-Agnostic Exponential Resource Saving in Variational Quantum Algorithms Using Shallow Shadows IJCAI 2024 ANT: Adaptive Noise Schedule for Time Series Diffusion Models NeurIPS 2024 Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization NeurIPS 2024 AntLM: Bridging Causal and Masked Language Models CoNLL 2024 Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss NeurIPS 2024 AnyFeature-VSLAM: Automating the Usage of Any Feature into Visual SLAM RSS 2024 A PDE-based Explanation of Extreme Numerical Sensitivities and Edge of Stability in Training Neural Networks JMLR 2024 A PID Controller Approach for Adaptive Probability-dependent Gradient Decay in Model Calibration NeurIPS 2024 APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning COLING 2024 Application-Level Service Assurance with 5G RAN Slicing NSDI 2024 Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models NeurIPS 2024 Approximately Pareto-optimal Solutions for Bi-Objective k-Clustering NeurIPS 2024 Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization ICLR 2024 Approximation-Aware Bayesian Optimization NeurIPS 2024 A Precise Characterization of SGD Stability Using Loss Surface Geometry ICLR 2024