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Stochastic Methods

1077 directly classified papers

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Papers

Choosing the Sample with Lowest Loss makes SGD Robust AISTATS 2020
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory AISTATS 2020
Decentralised Learning with Random Features and Distributed Gradient Descent ICML 2020
Lookahead-Bounded Q-learning ICML 2020
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies AAAI 2020
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization ICML 2020
Stochastic Approximate Gradient Descent via the Langevin Algorithm AAAI 2020
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem AAAI 2020
Stochastic Online Learning with Probabilistic Graph Feedback AAAI 2020
D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems AAAI 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching ICML 2020
Error Estimation for Sketched SVD via the Bootstrap ICML 2020
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise ICML 2020
Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks ICML 2020
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent ICML 2020
An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise AISTATS 2020
Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction EMNLP 2020
Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models EMNLP 2020
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking CVPR 2020
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding EMNLP 2020
Training Keyword Spotting Models on Non-IID Data with Federated Learning INTERSPEECH 2020
Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract) AAAI 2020
Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning AAAI 2020
Real-Time Multi-Person Pose Tracking using Data Assimilation WACV 2020
Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead ICML 2020