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

Independent Natural Policy Gradient always converges in Markov Potential Games AISTATS 2022
The AIM and EM Algorithms for Learning from Coarse Data JMLR 2022
Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits JMLR 2022
From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent NIPS 2022
AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning AISTATS 2022
Complex Momentum for Optimization in Games AISTATS 2022
Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration JMLR 2022
A general sample complexity analysis of vanilla policy gradient AISTATS 2022
On the Convergence of Continuous Constrained Optimization for Structure Learning AISTATS 2022
Convergence of Uncertainty Sampling for Active Learning ICML 2022
Robust Training of Neural Networks Using Scale Invariant Architectures ICML 2022
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems NIPS 2022
Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization ICML 2022
Communication-Efficient Adaptive Federated Learning ICML 2022
Chaining Value Functions for Off-Policy Learning AAAI 2022
Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning NIPS 2022
Convergence for score-based generative modeling with polynomial complexity NIPS 2022
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias NIPS 2022
SGD with Coordinate Sampling: Theory and Practice JMLR 2022
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence ICML 2022
Mutation-driven follow the regularized leader for last-iterate convergence in zero-sum games UAI 2022
Dynamic relocation in ridesharing via fixpoint construction UAI 2022
A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences NIPS 2022
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee ICML 2022
A Simple Guard for Learned Optimizers ICML 2022