Continuous Optimization

Towards Multi-Mode Outlier Robust Tensor Ring Decomposition AAAI 2024 Towards Scene Graph Anticipation ECCV 2024 Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features ICML 2024 Towards Understanding Inductive Bias in Transformers: A View From Infinity ICML 2024 Training a Tucker Model With Shared Factors: a Riemannian Optimization Approach AISTATS 2024 Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components JMLR 2024 Tuning-Free Stochastic Optimization ICML 2024 Turnstile ℓ_p leverage score sampling with applications ICML 2024 UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs ICML 2024 Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise ICML 2024 Understanding Stochastic Natural Gradient Variational Inference ICML 2024 Universal Gradient Methods for Stochastic Convex Optimization ICML 2024 Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators NeurIPS 2024 Unscrambling disease progression at scale: fast inference of event permutations with optimal transport NeurIPS 2024 Unveiling Privacy, Memorization, and Input Curvature Links ICML 2024 Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression ICML 2024 Variance estimation in graphs with the fused lasso JMLR 2024 Vector Quantile Regression on Manifolds AISTATS 2024 Wasserstein distributionally robust regret-optimal control over infinite-horizon L4DC 2024 Wasserstein Proximal Coordinate Gradient Algorithms JMLR 2024 What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding ICML 2024 Why Do You Grok? A Theoretical Analysis on Grokking Modular Addition ICML 2024 WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives IJCAI 2024 Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization ICML 2024 2Direction: Theoretically Faster Distributed Training with Bidirectional Communication Compression NeurIPS 2023