A Local Convergence Theory for the Stochastic Gradient Descent Method in Non-Convex Optimization With Non-isolated Local Minima Mar 21, 2022 Stochastic Optimization
— Unverified Implicit Parameter-free Online Learning with Truncated Linear Models Mar 19, 2022 Stochastic Optimization
— Unverified Accelerating Stochastic Probabilistic Inference Mar 15, 2022 Second-order methods Stochastic Optimization
— Unverified Comparing Two Samples Through Stochastic Dominance: A Graphical Approach Mar 15, 2022 Stochastic Optimization Vocal Bursts Valence Prediction
Code Code Available The Role of Local Steps in Local SGD Mar 14, 2022 Stochastic Optimization
— Unverified A Machine Learning Approach for Prosumer Management in Intraday Electricity Markets Mar 11, 2022 BIG-bench Machine Learning Management
— Unverified Minimizing the AoI in Resource-Constrained Multi-Source Relaying Systems: Dynamic and Learning-based Scheduling Mar 10, 2022 Deep Reinforcement Learning Scheduling
— Unverified False Data Injection Attack on Electric Vehicle-Assisted Voltage Regulation Mar 9, 2022 Capacity Estimation Stochastic Optimization
— Unverified Unsupervised Alignment of Distributional Word Embeddings Mar 9, 2022 Bilingual Lexicon Induction Machine Translation
— Unverified Robust Modeling of Unknown Dynamical Systems via Ensemble Averaged Learning Mar 7, 2022 Stochastic Optimization
— Unverified Recursive Monte Carlo and Variational Inference with Auxiliary Variables Mar 5, 2022 Astronomy Stochastic Optimization
Code Code Available Goal-Oriented Communication for Edge Learning based on the Information Bottleneck Feb 25, 2022 image-classification Image Classification
— Unverified Learning to Schedule Heuristics for the Simultaneous Stochastic Optimization of Mining Complexes Feb 25, 2022 Combinatorial Optimization Scheduling
— Unverified Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance Feb 24, 2022 Contrastive Learning Self-Supervised Learning
Code Code Available Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications Feb 24, 2022 Meta-Learning Stochastic Optimization
— Unverified Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence Feb 24, 2022 Information Retrieval Retrieval
Code Code Available Temporal Difference Learning with Continuous Time and State in the Stochastic Setting Feb 16, 2022 reinforcement-learning Stochastic Optimization
— Unverified Surgical Scheduling via Optimization and Machine Learning with Long-Tailed Data Feb 13, 2022 BIG-bench Machine Learning Scheduling
— Unverified Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems Feb 10, 2022 Generative Adversarial Network Stochastic Optimization
Code Code Available Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning Feb 10, 2022 Federated Learning Personalized Federated Learning
Code Code Available Online Learning for Min Sum Set Cover and Pandora's Box Feb 10, 2022 Stochastic Optimization
— Unverified Adapting to Mixing Time in Stochastic Optimization with Markovian Data Feb 9, 2022 Stochastic Optimization
Code Code Available Energy Efficiency and Delay Tradeoff in an MEC-Enabled Mobile IoT Network Feb 8, 2022 CPU Edge-computing
— Unverified Variance reduced stochastic optimization over directed graphs with row and column stochastic weights Feb 7, 2022 Stochastic Optimization
— Unverified Stochastic Gradient Descent with Dependent Data for Offline Reinforcement Learning Feb 6, 2022 Q-Learning reinforcement-learning
— Unverified Variational Nearest Neighbor Gaussian Process Feb 3, 2022 Gaussian Processes Stochastic Optimization
— Unverified On the Convergence of mSGD and AdaGrad for Stochastic Optimization Jan 26, 2022 Stochastic Optimization
— Unverified Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization Jan 19, 2022 Federated Learning Privacy Preserving
— Unverified Stochastic Autograd Jan 17, 2022 Stochastic Optimization Variational Inference
— Unverified DISTRIBUTIONALLY ROBUST NEURAL NETWORKS FOR GROUP SHIFTS ON THE IMPORTANCE OF REGULARIZATION FOR WORST-CASE GENERALIZATION Jan 17, 2022 Natural Language Inference Stochastic Optimization
— Unverified Consistent Approximations in Composite Optimization Jan 13, 2022 Stochastic Optimization
— Unverified Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Control Jan 10, 2022 Decision Making Model-based Reinforcement Learning
— Unverified Coordinated Day-ahead Dispatch of Multiple Power Distribution Grids hosting Stochastic Resources: An ADMM-based Framework Jan 10, 2022 Distributed Optimization Stochastic Optimization
— Unverified Stochastic regularized majorization-minimization with weakly convex and multi-convex surrogates Jan 5, 2022 Dictionary Learning Image Deep Networks
Code Code Available Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback Dec 28, 2021 Federated Learning Stochastic Optimization
Code Code Available Reinforcement Learning with Dynamic Convex Risk Measures Dec 26, 2021 reinforcement-learning Reinforcement Learning
Code Code Available Decentralized Multi-Task Stochastic Optimization With Compressed Communications Dec 23, 2021 Stochastic Optimization
— Unverified Dynamic Edge Computing empowered by Reconfigurable Intelligent Surfaces Dec 21, 2021 CPU Edge-computing
— Unverified Distributed and Stochastic Optimization Methods with Gradient Compression and Local Steps Dec 20, 2021 Stochastic Optimization
— Unverified Correlated Product of Experts for Sparse Gaussian Process Regression Dec 17, 2021 Gaussian Processes regression
— Unverified Mathematical models of COVID-19 spread Dec 10, 2021 Classification Stochastic Optimization
— Unverified A Continuous-time Stochastic Gradient Descent Method for Continuous Data Dec 7, 2021 Stochastic Optimization Variational Inference
— Unverified MDPGT: Momentum-based Decentralized Policy Gradient Tracking Dec 6, 2021 Multi-agent Reinforcement Learning Policy Gradient Methods
Code Code Available BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery Dec 6, 2021 Causal Discovery Stochastic Optimization
Code Code Available Neural Stochastic Dual Dynamic Programming Dec 1, 2021 Stochastic Optimization
— Unverified On the Bias-Variance-Cost Tradeoff of Stochastic Optimization Dec 1, 2021 Bilevel Optimization Stochastic Optimization
— Unverified Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization Dec 1, 2021 Domain Generalization Stochastic Optimization
— Unverified Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning Dec 1, 2021 Multi-agent Reinforcement Learning Reinforcement Learning (RL)
— Unverified Convergence of adaptive algorithms for constrained weakly convex optimization Dec 1, 2021 Stochastic Optimization
— Unverified Adaptive First- and Second-Order Algorithms for Large-Scale Machine Learning Nov 29, 2021 BIG-bench Machine Learning Deep Learning
— Unverified 