conftrace_

global optimality

34 papers

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Co-occurring keywords

gradient descent (1144) convex optimization (1321) non-convex optimization (547) global optimization (151) policy optimization (657) neural network (6616) sample complexity (1169) nonconvex optimization (316) representation learning (6206) local minimum (61)

Papers

Semidefinite Relaxations of the Gromov-Wasserstein Distance NIPS 2024
SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency CVPR 2024
Sample-Efficient Constrained Reinforcement Learning with General Parameterization NIPS 2024
Global optimality for Euclidean CCCP under Riemannian convexity ICML 2023
Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing NIPS 2023
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning ICML 2023
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification JMLR 2023
Global optimality of Elman-type RNNs in the mean-field regime ICML 2023
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning NIPS 2022
An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming ICML 2022
Policy Gradient Method For Robust Reinforcement Learning ICML 2022
Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees NIPS 2022
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch JMLR 2022
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features ICML 2022
Understanding the Effect of Stochasticity in Policy Optimization NIPS 2021
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee ICML 2021
Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs ICML 2021
Global Optimality for Point Set Registration Using Semidefinite Programming CVPR 2020
Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate ICML 2020
A Certifiably Globally Optimal Solution to Generalized Essential Matrix Estimation CVPR 2020
On the Global Optimality of Model-Agnostic Meta-Learning ICML 2020
Closed-Form Optimal Two-View Triangulation Based on Angular Errors ICCV 2019
Globally Optimal Learning for Structured Elliptical Losses NIPS 2019
A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery ICML 2018
Generalizing Graph Matching beyond Quadratic Assignment Model NIPS 2018