global optimum

Open Problem: How much overparametrization is needed for ALS in tensor decomposition? COLT 2026 Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning ICML 2025 Exploring The Loss Landscape Of Regularized Neural Networks Via Convex Duality ICLR 2025 Robust Multi-Agent Reinforcement Learning with Stochastic Adversary ICML 2025 A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization NeurIPS 2024 Expressivity of ReLU-Networks under Convex Relaxations ICLR 2024 Piecewise regression via mixed-integer programming for MPC L4DC 2024 Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model NeurIPS 2023 Does a sparse ReLU network training problem always admit an optimum ? NeurIPS 2023 Optimal Sets and Solution Paths of ReLU Networks ICML 2023 A Simple Decentralized Cross-Entropy Method NeurIPS 2022 For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria ICML 2022 Reward-Weighted Regression Converges to a Global Optimum AAAI 2022 The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program ICLR 2022 The Hidden Convex Optimization Landscape of Regularized Two-Layer ReLU Networks: an Exact Characterization of Optimal Solutions ICLR 2022 FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning ICML 2021 Searching for Search Errors in Neural Morphological Inflection EACL 2021 Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration NeurIPS 2021 Gradient Descent Provably Optimizes Over-parameterized Neural Networks ICLR 2019 Stability and Generalization of Learning Algorithms that Converge to Global Optima ICML 2018 An Abstraction-Refinement Methodology for Reasoning about Network Games IJCAI 2017 Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods NeurIPS 2016 On Graduated Optimization for Stochastic Non-Convex Problems ICML 2016 A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements NeurIPS 2015 Black-box optimization of noisy functions with unknown smoothness NeurIPS 2015