conftrace_

convergence guarantee

169 papers

Explore in graph

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

Data Augmentation for Text Generation Without Any Augmented Data ACL 2021
Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies ICML 2021
Towards Flexible Device Participation in Federated Learning AISTATS 2021
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond NIPS 2021
Evaluating model performance under worst-case subpopulations NIPS 2021
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee ICML 2021
Provable Hierarchical Imitation Learning via EM AISTATS 2021
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence AISTATS 2021
Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling AAAI 2021
PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients ACML 2021
Advice-Guided Reinforcement Learning in a non-Markovian Environment AAAI 2021
Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees AAAI 2021
It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems NIPS 2021
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning NIPS 2021
AC-GC: Lossy Activation Compression with Guaranteed Convergence NIPS 2021
Stochastically Dominant Distributional Reinforcement Learning ICML 2020
Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes NIPS 2020
On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems NIPS 2020
Asynchronous Coagent Networks ICML 2020
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation ICML 2020
Provable Smoothness Guarantees for Black-Box Variational Inference ICML 2020
Gradient descent algorithms for Bures-Wasserstein barycenters COLT 2020
Stochastic Approximate Gradient Descent via the Langevin Algorithm AAAI 2020
Universal Average-Case Optimality of Polyak Momentum ICML 2020
Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality NIPS 2020