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— Unverified 00 A Mean-Field Theory for Learning the Schönberg Measure of Radial Basis Functions Jun 23, 2020 Clustering Image Retrieval
— Unverified 00 Adaptive Sequential Machine Learning Apr 4, 2019 BIG-bench Machine Learning Model Selection
— Unverified 00 Accelerated Reinforcement Learning Oct 23, 2017 Policy Gradient Methods reinforcement-learning
— Unverified 00 A Machine Learning Approach for Prosumer Management in Intraday Electricity Markets Mar 11, 2022 BIG-bench Machine Learning Management
— Unverified 00 Adaptive Sampling Strategies for Stochastic Optimization Oct 30, 2017 regression Stochastic Optimization
— Unverified 00 ALS: Augmented Lagrangian Sketching Methods for Linear Systems Aug 12, 2022 Stochastic Optimization
— Unverified 00 Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning Feb 25, 2020 Causal Inference Meta-Learning
— Unverified 00 AlphaZero Based Post-Storm Repair Crew Dispatch for Distribution Grid Restoration Oct 14, 2020 Navigate Stochastic Optimization
— Unverified 00 Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic Optimization Sep 24, 2021 Reinforcement Learning (RL) Stochastic Optimization
— Unverified 00 A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications Sep 29, 2021 image-classification Image Classification
— Unverified 00 BFE and AdaBFE: A New Approach in Learning Rate Automation for Stochastic Optimization Jul 6, 2022 Stochastic Optimization
— Unverified 00 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 00 Beyond Volumetric Albedo -- A Surface Optimization Framework for Non-Line-Of-Sight Imaging Jun 1, 2019 Stochastic Optimization
— Unverified 00 Beyond variance reduction: Understanding the true impact of baselines on policy optimization Aug 31, 2020 Reinforcement Learning (RL) Stochastic Optimization
— Unverified 00 A Linearly Convergent Conditional Gradient Algorithm with Applications to Online and Stochastic Optimization Jan 20, 2013 Open-Ended Question Answering Stochastic Optimization
— Unverified 00 Adaptive Sampling Quasi-Newton Methods for Derivative-Free Stochastic Optimization Oct 29, 2019 reinforcement-learning Reinforcement Learning
— Unverified 00 Beyond Suspension: A Two-phase Methodology for Concluding Sports Leagues Mar 29, 2024 Scheduling Stochastic Optimization
— Unverified 00 Beyond Single-Model Views for Deep Learning: Optimization versus Generalizability of Stochastic Optimization Algorithms Mar 1, 2024 Benchmarking Stochastic Optimization
— Unverified 00 Algorithms for stochastic optimization with functional or expectation constraints Apr 13, 2016 Stochastic Optimization
— Unverified 00 Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio Apr 24, 2019 Decision Making feature selection
— Unverified 00 Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares Jun 2, 2022 Stochastic Optimization
— Unverified 00 Adaptive Online Estimation of Piecewise Polynomial Trends Sep 30, 2020 2k regression
— Unverified 00 Accurate Neural Network Pruning Requires Rethinking Sparse Optimization Aug 3, 2023 Model Compression Network Pruning
— Unverified 00 Accelerated Randomized Coordinate Descent Algorithms for Stochastic Optimization and Online Learning Jun 5, 2018 Stochastic Optimization
— Unverified 00 A Latent Variational Framework for Stochastic Optimization May 5, 2019 Bayesian Inference Stochastic Optimization
— Unverified 00 Better Parameter-free Stochastic Optimization with ODE Updates for Coin-Betting Jun 12, 2020 Stochastic Optimization
— Unverified 00 Benefits of Learning Rate Annealing for Tuning-Robustness in Stochastic Optimization Mar 12, 2025 Stochastic Optimization
— Unverified 00 A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization Dec 4, 2023 Learning-To-Rank Stochastic Optimization
— Unverified 00 A learning-based solution approach to the application placement problem in mobile edge computing under uncertainty Mar 17, 2024 Edge-computing Stochastic Optimization
— Unverified 00 Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems Aug 30, 2024 Bayesian Optimization Stochastic Optimization
— Unverified 00 Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI Feb 12, 2013 compressed sensing Denoising
— Unverified 00 Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency Jun 23, 2021 Stochastic Optimization
— Unverified 00 A Large Batch Optimizer Reality Check: Traditional, Generic Optimizers Suffice Across Batch Sizes Feb 12, 2021 Image Classification Open-Ended Question Answering
— Unverified 00 Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks May 31, 2016 Stochastic Optimization
— Unverified 00 Bandwidth-based Step-Sizes for Non-Convex Stochastic Optimization Jun 5, 2021 Stochastic Optimization
— Unverified 00 Bandit Learning in Concave N-Person Games Dec 1, 2018 Stochastic Optimization
— Unverified 00 Bandit learning in concave N-person games Oct 3, 2018 Stochastic Optimization
— Unverified 00 Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks Feb 16, 2023 Stochastic Optimization
— Unverified 00 Bandit Algorithms for Prophet Inequality and Pandora's Box Nov 16, 2022 Multi-Armed Bandits Stochastic Optimization
— Unverified 00 Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems Jul 2, 2020 Stochastic Optimization
— Unverified 00 AI-CARGO: A Data-Driven Air-Cargo Revenue Management System May 22, 2019 Decision Making Management
— Unverified 00 Backward error analysis and the qualitative behaviour of stochastic optimization algorithms: Application to stochastic coordinate descent Sep 5, 2023 Stochastic Optimization
— Unverified 00 A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization Feb 12, 2021 Stochastic Optimization
— Unverified 00 Adaptive Learning Rates for Faster Stochastic Gradient Methods Aug 10, 2022 Diversity Stochastic Optimization
— Unverified 00 Accelerating Stochastic Probabilistic Inference Mar 15, 2022 Second-order methods Stochastic Optimization
— Unverified 00 Accelerated Parameter-Free Stochastic Optimization Mar 31, 2024 Stochastic Optimization
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