Task-based End-to-end Model Learning in Stochastic Optimization Mar 13, 2017 BIG-bench Machine Learning Scheduling
Code Code Available MDPGT: Momentum-based Decentralized Policy Gradient Tracking Dec 6, 2021 Multi-agent Reinforcement Learning Policy Gradient Methods
Code Code Available ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization Jun 12, 2020 BIG-bench Machine Learning Stochastic Optimization
Code Code Available Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection Dec 17, 2019 Community Detection Graph Embedding
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 Convolutional Sketch Inversion Jun 9, 2016 Stochastic Optimization
Code Code Available A Stochastic Optimization Framework for Private and Fair Learning From Decentralized Data Nov 12, 2024 Fairness Federated Learning
Code Code Available Stochastic Differentially Private and Fair Learning Oct 17, 2022 Binary Classification Decision Making
Code Code Available Convex Optimization: Algorithms and Complexity May 20, 2014 Stochastic Optimization
Code Code Available f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization Dec 6, 2023 Fairness Stochastic Optimization
Code Code Available Stochastic First-Order Learning for Large-Scale Flexibly Tied Gaussian Mixture Model Dec 11, 2022 Stochastic Optimization
Code Code Available RFFNet: Large-Scale Interpretable Kernel Methods via Random Fourier Features Nov 11, 2022 Stochastic Optimization Variable Selection
Code Code Available Outlier-robust neural network training: variation regularization meets trimmed loss to prevent functional breakdown Aug 4, 2023 Numerical Integration Stochastic Optimization
Code Code Available SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value Approximation May 13, 2025 Computational Efficiency Explainable artificial intelligence
Code Code Available Minimax AUC Fairness: Efficient Algorithm with Provable Convergence Aug 22, 2022 Decision Making Fairness
Code Code Available MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients Jun 21, 2020 Image Classification Machine Translation
Code Code Available Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems Nov 7, 2023 Stochastic Optimization
Code Code Available 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 Training Deep Neural Networks via Branch-and-Bound Apr 5, 2021 Object Recognition Stochastic Optimization
Code Code Available Understanding the Role of Momentum in Stochastic Gradient Methods Oct 30, 2019 Stochastic Optimization
Code Code Available Overshoot: Taking advantage of future gradients in momentum-based stochastic optimization Jan 16, 2025 Stochastic Optimization
Code Code Available Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep Learning Dec 5, 2024 Computational Efficiency Deep Learning
Code Code Available Mixing ADAM and SGD: a Combined Optimization Method Nov 16, 2020 Document Classification Stochastic Optimization
Code Code Available Rieoptax: Riemannian Optimization in JAX Oct 10, 2022 CPU GPU
Code Code Available Boosting Adversarial Transferability through Augmentation in Hypothesis Space Jan 1, 2025 Stochastic Optimization
Code Code Available A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness Dec 28, 2024 Bilevel Optimization Meta-Learning
Code Code Available Supervised Robustness-preserving Data-free Neural Network Pruning Apr 2, 2022 Network Pruning Stochastic Optimization
Code Code Available SketchySGD: Reliable Stochastic Optimization via Randomized Curvature Estimates Nov 16, 2022 regression Stochastic Optimization
Code Code Available Learning from Label Proportions with Instance-wise Consistency Mar 24, 2022 Learning Theory Stochastic Optimization
Code Code Available An Adaptive and Momental Bound Method for Stochastic Learning Oct 27, 2019 Stochastic Optimization
Code Code Available Stochastic Variance-Reduced Iterative Hard Thresholding in Graph Sparsity Optimization Jul 24, 2024 Stochastic Optimization
Code Code Available From Predictive to Prescriptive Analytics Feb 22, 2014 Management Stochastic Optimization
Code Code Available Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box Apr 11, 2023 Probabilistic Programming Stochastic Optimization
Code Code Available From Text to Test: AI-Generated Control Software for Materials Science Instruments Jun 23, 2024 Stochastic Optimization
Code Code Available COCO Denoiser: Using Co-Coercivity for Variance Reduction in Stochastic Convex Optimization Sep 7, 2021 Stochastic Optimization
Code Code Available Cauchy noise loss for stochastic optimization of random matrix models via free deterministic equivalents Apr 9, 2018 parameter estimation Stochastic Optimization
Code Code Available Variance-based regularization with convex objectives Oct 8, 2016 General Classification Stochastic Optimization
Code Code Available A fast and simple modification of Newton's method helping to avoid saddle points Jun 2, 2020 Protein Folding Stochastic Optimization
Code Code Available Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation Feb 12, 2024 Generalization Bounds Stochastic Optimization
Code Code Available PASOA- PArticle baSed Bayesian Optimal Adaptive design Feb 11, 2024 Experimental Design Stochastic Optimization
Code Code Available Minimizing robust density power-based divergences for general parametric density models Jul 11, 2023 Numerical Integration Stochastic Optimization
Code Code Available Generalized Multi-Output Gaussian Process Censored Regression Sep 10, 2020 regression Stochastic Optimization
Code Code Available Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder Apr 8, 2020 Protein Structure Prediction Stochastic Optimization
Code Code Available Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization Jul 9, 2019 Stochastic Optimization
Code Code Available Generic Inference in Latent Gaussian Process Models Sep 2, 2016 General Classification Stochastic Optimization
Code Code Available Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods Jan 24, 2020 Data Augmentation Image Classification
Code Code Available Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization Mar 23, 2022 Fairness Misinformation
Code Code Available Personalized Treatment Selection using Causal Heterogeneity Jan 29, 2019 Stochastic Optimization
Code Code Available Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning Feb 10, 2022 Federated Learning Personalized Federated Learning
Code Code Available Black Box Variational Inference Dec 31, 2013 Stochastic Optimization Variational Inference
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