Optimization

Risk Measures and Upper Probabilities: Coherence and Stratification JMLR 2024 Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum AISTATS 2024 Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications NeurIPS 2024 Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models NeurIPS 2024 Sample Average Approximation for Black-Box Variational Inference UAI 2024 Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut NeurIPS 2024 Sample-Constrained Black Box Optimization for Audio Personalization AAAI 2024 Sample-efficient Bayesian Optimisation Using Known Invariances NeurIPS 2024 Sample-Efficient Constrained Reinforcement Learning with General Parameterization NeurIPS 2024 Scalable Optimization in the Modular Norm NeurIPS 2024 SDEs for Minimax Optimization AISTATS 2024 Second-order forward-mode optimization of recurrent neural networks for neuroscience NeurIPS 2024 Sharp error bounds for imbalanced classification: how many examples in the minority class? AISTATS 2024 SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations AAAI 2024 Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization NeurIPS 2024 skscope: Fast Sparsity-Constrained Optimization in Python JMLR 2024 SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks AAAI 2024 Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization AAAI 2024 SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning EMNLP 2024 SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization NeurIPS 2024 S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization NeurIPS 2024 Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm NeurIPS 2024 Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression JMLR 2024 Statistical Properties of Robust Satisficing ICML 2024 Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities AISTATS 2024