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

Methods for Optimization Problems with Markovian Stochasticity and Non-Euclidean Geometry AAAI 2026
Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training (Abstract Reprint) AAAI 2026
Rapid Learning in Constrained Minimax Games with Negative Momentum AAAI 2025
Towards Infinite-Long Prefix in Transformer EMNLP 2025
Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution CVPR 2025
Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models JMLR 2025
Sharp Bounds for Sequential Federated Learning on Heterogeneous Data JMLR 2025
Geometry-Dependent Matching Pursuit: a Transition Phase for Convergence on Linear Regression and LASSO JMLR 2025
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data IJCAI 2025
Algorithms for ridge estimation with convergence guarantees JMLR 2025
Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees NIPS 2024
BOBA: Byzantine-Robust Federated Learning with Label Skewness AISTATS 2024
Communication-Efficient Federated Learning With Data and Client Heterogeneity AISTATS 2024
Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence AISTATS 2024
ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate NIPS 2024
On the convergence of adaptive first order methods: Proximal gradient and alternating minimization algorithms L4DC 2024
Heterogeneous-Agent Reinforcement Learning JMLR 2024
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes AAAI 2024
A General Algorithm for Solving Rank-one Matrix Sensing AISTATS 2024
Local and Adaptive Mirror Descents in Extensive-Form Games NIPS 2024
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees NIPS 2024
QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning AAAI 2024
Convergence of Message-Passing Graph Neural Networks with Generic Aggregation on Large Random Graphs JMLR 2024
Countering the Communication Bottleneck in Federated Learning: A Highly Efficient Zero-Order Optimization Technique JMLR 2024
Unraveling the Gradient Descent Dynamics of Transformers NIPS 2024