conftrace_

convergence guarantee

169 papers

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Co-occurring keywords

stochastic gradient descent (1091) stochastic optimization (1060) gradient descent (1144) non-convex optimization (547) convergence analysis (395) federated learning (1333) reinforcement learning (4352) neural network optimization (1293) off-policy learning (228) neural network (6616)

Papers

High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance ICML 2023
Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods ICML 2023
Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract) IJCAI 2023
On the Convergence of Black-Box Variational Inference NIPS 2023
Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions AISTATS 2023
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games NIPS 2023
Convergence of score-based generative modeling for general data distributions ALT 2023
Distributed Offline Policy Optimization Over Batch Data AISTATS 2023
Learning Sparse Graphon Mean Field Games AISTATS 2023
An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity JMLR 2023
Safeguarded Learned Convex Optimization AAAI 2023
Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees JMLR 2023
Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach AAAI 2023
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium NIPS 2023
A Guide Through the Zoo of Biased SGD NIPS 2023
Beyond the Golden Ratio for Variational Inequality Algorithms JMLR 2023
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees ICML 2023
Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes AAAI 2023
Beyond Uniform Lipschitz Condition in Differentially Private Optimization ICML 2023
Computational Guarantees for Doubly Entropic Wasserstein Barycenters NIPS 2023
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization NIPS 2023
The probability flow ODE is provably fast NIPS 2023
Blackbox optimization of unimodal functions UAI 2023
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence ICML 2022
Dynamic relocation in ridesharing via fixpoint construction UAI 2022