Stochastic Optimization under Distributional Drift Aug 16, 2021 Stochastic Optimization valid
Code Code Available Low-Complexity Algorithm for Restless Bandits with Imperfect Observations Aug 9, 2021 Stochastic Optimization
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— Unverified Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers Aug 2, 2021 Generalization Bounds Stochastic Optimization
— Unverified A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC Aug 1, 2021 reinforcement-learning Reinforcement Learning
— Unverified Performance assessment and tuning of PID control using TLBO: the single-loop case and PI/P cascade case Jul 31, 2021 Stochastic Optimization
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— Unverified High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data Jul 23, 2021 Sparse Learning Stochastic Optimization
— Unverified Differentiable Annealed Importance Sampling and the Perils of Gradient Noise Jul 21, 2021 Stochastic Optimization
— Unverified ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE Jul 20, 2021 Data Augmentation Density Estimation
Code Code Available Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning Jul 19, 2021 Federated Learning Stochastic Optimization
— Unverified Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function Jul 19, 2021 Stochastic Optimization Transfer Learning
Code Code Available Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints Jul 19, 2021 Learning Theory Stochastic Optimization
— Unverified Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings Jul 12, 2021 Stochastic Optimization
— Unverified KOALA: A Kalman Optimization Algorithm with Loss Adaptivity Jul 7, 2021 Language Modeling Language Modelling
— Unverified Distributed stochastic optimization with large delays Jul 6, 2021 Distributed Computing Stochastic Optimization
— Unverified Momentum Accelerates the Convergence of Stochastic AUPRC Maximization Jul 2, 2021 imbalanced classification Stochastic Optimization
— Unverified High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails Jun 28, 2021 Stochastic Optimization Vocal Bursts Intensity Prediction
— Unverified Robust Distributed Optimization With Randomly Corrupted Gradients Jun 28, 2021 Distributed Optimization Stochastic Optimization
— Unverified Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency Jun 23, 2021 Stochastic Optimization
— Unverified Solving Stochastic Optimization with Expectation Constraints Efficiently by a Stochastic Augmented Lagrangian-Type Algorithm Jun 22, 2021 Stochastic Optimization
— Unverified Asynchronous Stochastic Optimization Robust to Arbitrary Delays Jun 22, 2021 Distributed Optimization Stochastic Optimization
— Unverified Compositional federated learning: Applications in distributionally robust averaging and meta learning Jun 21, 2021 BIG-bench Machine Learning Federated Learning
— Unverified The Perils of Learning Before Optimizing Jun 18, 2021 Prediction Stochastic Optimization
— Unverified Stochastic Bias-Reduced Gradient Methods Jun 17, 2021 Stochastic Optimization
— Unverified Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses Jun 17, 2021 Federated Learning Stochastic Optimization
Code Code Available Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning Jun 12, 2021 Federated Learning Scheduling
— Unverified Stochastic Optimization-Aided Energy-Efficient Information Collection in Internet of Underwater Things Networks Jun 10, 2021 Stochastic Optimization
Code Code Available High Probability Complexity Bounds for Non-Smooth Stochastic Optimization with Heavy-Tailed Noise Jun 10, 2021 Stochastic Optimization
Code Code Available Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning Jun 9, 2021 Continual Learning Federated Learning
Code Code Available Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms Jun 9, 2021 Generalization Bounds Learning Theory
— Unverified A novel Deep Neural Network architecture for non-linear system identification Jun 6, 2021 Inductive Bias Stochastic Optimization
— Unverified Escaping Saddle Points Faster with Stochastic Momentum Jun 5, 2021 Open-Ended Question Answering Stochastic Optimization
— Unverified Bandwidth-based Step-Sizes for Non-Convex Stochastic Optimization Jun 5, 2021 Stochastic Optimization
— Unverified An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning Jun 4, 2021 Stochastic Optimization
— Unverified Stochastic Iterative Graph Matching Jun 4, 2021 Graph Matching Stochastic Optimization
Code Code Available Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network Jun 1, 2021 Imputation Missing Values
— Unverified Combining resampling and reweighting for faithful stochastic optimization May 31, 2021 Computational chemistry Stochastic Optimization
— Unverified Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks May 28, 2021 Deep Learning Stochastic Optimization
Code Code Available Last iterate convergence of SGD for Least-Squares in the Interpolation regime. May 21, 2021 Stochastic Optimization
— Unverified Stochastic optimization under time drift: iterate averaging, step-decay schedules, and high probability guarantees May 21, 2021 Stochastic Optimization valid
— Unverified Gradient Clipping Helps in Non-Smooth Stochastic Optimization with Heavy-Tailed Noise May 21, 2021 Stochastic Optimization
— Unverified Dynamic Trajectory and Offloading Control of UAV-enabled MEC under User Mobility May 19, 2021 Stochastic Optimization
— Unverified Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD May 17, 2021 Stochastic Optimization
— Unverified How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function May 14, 2021 BIG-bench Machine Learning Stochastic Optimization
— Unverified Scalable Projection-Free Optimization May 7, 2021 Stochastic Optimization
— Unverified Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic Bilevel Optimization May 5, 2021 Bilevel Optimization Stochastic Optimization
— Unverified Two-Stage Stochastic Optimization via Primal-Dual Decomposition and Deep Unrolling May 5, 2021 Rolling Shutter Correction Stochastic Optimization
— Unverified Learning swimming escape patterns for larval fish under energy constraints May 3, 2021 reinforcement-learning Reinforcement Learning
— Unverified Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks May 2, 2021 Graph Neural Network Meta-Learning
— Unverified 