Continuous Optimization

High-order Joint Constituency and Dependency Parsing COLING 2024 High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method JMLR 2024 High-Probability Bound for Non-Smooth Non-Convex Stochastic Optimization with Heavy Tails ICML 2024 High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise ICML 2024 How Smooth Is Attention? ICML 2024 How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization ICML 2024 How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers ICML 2024 HPOD: Hyperparameter Optimization for Unsupervised Outlier Detection AutoML 2024 Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations JMLR 2024 Implicit Bias of Mirror Flow on Separable Data NeurIPS 2024 Implicit Graph Search for Planning on Graphs of Convex Sets RSS 2024 Improved Communication-Privacy Trade-offs in L_2 Mean Estimation under Streaming Differential Privacy ICML 2024 Improved Dimensionality Dependence for Zeroth-Order Optimisation over Cross-Polytopes ICML 2024 Improved Parallel Algorithm for Non-Monotone Submodular Maximization under Knapsack Constraint IJCAI 2024 Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm ICML 2024 Improving Computational Complexity in Statistical Models with Local Curvature Information ICML 2024 Improving Gradient-Guided Nested Sampling for Posterior Inference ICML 2024 Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization ICML 2024 Improving SAM Requires Rethinking its Optimization Formulation ICML 2024 Improving Sharpness-Aware Minimization by Lookahead ICML 2024 Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques NeurIPS 2024 Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates AAAI 2024 Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence NeurIPS 2024 Inexact Newton-type Methods for Optimisation with Nonnegativity Constraints ICML 2024 Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints JMLR 2024