Deep learning with Elastic Averaging SGD Dec 20, 2014 Deep Learning image-classification
Code Code Available 05 Learning From Scenarios for Stochastic Repairable Scheduling Dec 6, 2023 Scheduling Stochastic Optimization
Code Code Available 05 Continual Multi-task Gaussian Processes Oct 31, 2019 Bayesian Inference Continual Learning
Code Code Available 05 A deep generative model for gene expression profiles from single-cell RNA sequencing Sep 7, 2017 Stochastic Optimization Variational Inference
Code Code Available 05 Cauchy noise loss for stochastic optimization of random matrix models via free deterministic equivalents Apr 9, 2018 parameter estimation Stochastic Optimization
Code Code Available 05 Continuous-time Models for Stochastic Optimization Algorithms Oct 5, 2018 Stochastic Optimization
Code Code Available 05 DeepOBS: A Deep Learning Optimizer Benchmark Suite Mar 13, 2019 Benchmarking Deep Learning
Code Code Available 05 Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning Jul 21, 2022 reinforcement-learning Reinforcement Learning (RL)
Code Code Available 05 CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical Variables Apr 10, 2025 Bayesian Optimization Stochastic Optimization
Code Code Available 05 Stochastic regularized majorization-minimization with weakly convex and multi-convex surrogates Jan 5, 2022 Dictionary Learning Image Deep Networks
Code Code Available 05 Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization Feb 20, 2019 Stochastic Optimization
Code Code Available 05 Minimax AUC Fairness: Efficient Algorithm with Provable Convergence Aug 22, 2022 Decision Making Fairness
Code Code Available 05 CatCMA : Stochastic Optimization for Mixed-Category Problems May 16, 2024 Bayesian Optimization Stochastic Optimization
Code Code Available 05 A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness Dec 28, 2024 Bilevel Optimization Meta-Learning
Code Code Available 05 Deep Stochastic Optimization in Finance May 9, 2022 Stochastic Optimization
Code Code Available 05 Navigating Demand Uncertainty in Container Shipping: Deep Reinforcement Learning for Enabling Adaptive and Feasible Master Stowage Planning Feb 18, 2025 Combinatorial Optimization Deep Reinforcement Learning
Code Code Available 05 Towards Faster Decentralized Stochastic Optimization with Communication Compression May 30, 2024 Stochastic Optimization
Code Code Available 05 High Probability Complexity Bounds for Non-Smooth Stochastic Optimization with Heavy-Tailed Noise Jun 10, 2021 Stochastic Optimization
Code Code Available 05 Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication Feb 1, 2019 Stochastic Optimization
Code Code Available 05 Convolutional Sketch Inversion Jun 9, 2016 Stochastic Optimization
Code Code Available 05 CoolMomentum: A Method for Stochastic Optimization by Langevin Dynamics with Simulated Annealing May 29, 2020 global-optimization Physical Simulations
Code Code Available 05 An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization Dec 5, 2022 Stochastic Optimization
Code Code Available 05 Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics Mar 10, 2025 Recommendation Systems Stochastic Optimization
Code Code Available 05 Better SGD using Second-order Momentum Mar 4, 2021 Stochastic Optimization
Code Code Available 05 Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems Apr 19, 2018 Q-Learning Stochastic Optimization
Code Code Available 05 n-Step Temporal Difference Learning with Optimal n Mar 13, 2023 Stochastic Optimization
Code Code Available 05 DeepType: Multilingual Entity Linking by Neural Type System Evolution Feb 3, 2018 Entity Disambiguation Entity Embeddings
Code Code Available 05 Coupling Adaptive Batch Sizes with Learning Rates Dec 15, 2016 image-classification Image Classification
Code Code Available 05 CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity Dec 24, 2019 Scheduling Stochastic Optimization
Code Code Available 05 On-Demand Sampling: Learning Optimally from Multiple Distributions Oct 22, 2022 Fairness Federated Learning
Code Code Available 05 Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more Dec 17, 2019 Stochastic Optimization
Code Code Available 05 CYCLADES: Conflict-free Asynchronous Machine Learning May 31, 2016 BIG-bench Machine Learning Stochastic Optimization
Code Code Available 05 Effectively Leveraging Momentum Terms in Stochastic Line Search Frameworks for Fast Optimization of Finite-Sum Problems Nov 11, 2024 Stochastic Optimization
Code Code Available 05 Graph Pattern Mining and Learning through User-defined Relations (Extended Version) Sep 14, 2018 Graph Neural Network Stochastic Optimization
Code Code Available 05 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 05 DADAM: A Consensus-based Distributed Adaptive Gradient Method for Online Optimization Jan 25, 2019 Stochastic Optimization
Code Code Available 05 Sampling from a k-DPP without looking at all items Dec 1, 2020 All Experimental Design
Code Code Available 05 An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization Jul 10, 2023 LEMMA Stochastic Optimization
— Unverified 00 Buying Information for Stochastic Optimization Jun 6, 2023 Stochastic Optimization
— Unverified 00 Building Proteins in a Day: Efficient 3D Molecular Reconstruction Apr 14, 2015 3D Reconstruction Stochastic Optimization
— Unverified 00 An adaptive volatility method for probabilistic forecasting and its application to the M6 financial forecasting competition Mar 3, 2023 Decision Making Stochastic Optimization
— Unverified 00 Adaptive Single-Pass Stochastic Gradient Descent in Input Sparsity Time Jan 1, 2021 Second-order methods Stochastic Optimization
— Unverified 00 Adaptive Gradient Regularization: A Faster and Generalizable Optimization Technique for Deep Neural Networks Jul 24, 2024 image-classification Image Classification
— Unverified 00 Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise Feb 14, 2023 Stochastic Optimization
— Unverified 00 Adaptive Shells for Efficient Neural Radiance Field Rendering Nov 16, 2023 Novel View Synthesis Stochastic Optimization
— Unverified 00 A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret Jan 21, 2023 Federated Learning Stochastic Optimization
— Unverified 00 Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization Aug 18, 2023 Stochastic Optimization
— Unverified 00 Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging Apr 30, 2020 Deep Reinforcement Learning Machine Translation
— Unverified 00 A Multi-Stage Algorithm for Acoustic Physical Model Parameters Estimation Sep 14, 2018 Deep Learning parameter estimation
— Unverified 00 Branching model with state dependent offspring distribution for Chlamydia spread Jun 5, 2023 Form Stochastic Optimization
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