Stochastic Methods
1,283 papers
Papers per year
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Papers
Choosing the Sample with Lowest Loss makes SGD Robust
AISTATS 2020
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks
IJCAI 2020
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding
EMNLP 2020
Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections
JMLR 2020
Debiasing Averaged Stochastic Gradient Descent to handle missing values
NeurIPS 2020
Decentralised Learning with Random Features and Distributed Gradient Descent
ICML 2020
Delay-Adaptive Distributed Stochastic Optimization
AAAI 2020
Derivative-Free & Order-Robust Optimisation
AISTATS 2020
D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems
AAAI 2020
Dynamic Regret of Convex and Smooth Functions
NeurIPS 2020
Dynamic Sampling Strategies for Multi-Task Reading Comprehension
ACL 2020
Efficiently Solving MDPs with Stochastic Mirror Descent
ICML 2020
Error Estimation for Sketched SVD via the Bootstrap
ICML 2020
Escaping Saddle-Point Faster under Interpolation-like Conditions
NeurIPS 2020
Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation
AISTATS 2020
Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects
CoRL 2020
Extreme Tensoring for Low-Memory Preconditioning
ICLR 2020
Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation
AISTATS 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching
ICML 2020
Finite-Time Analysis of Asynchronous Stochastic Approximation and Q-Learning
COLT 2020
Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation
AISTATS 2020
Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise
COLT 2020
Finite-Time Error Bounds for Biased Stochastic Approximation with Applications to Q-Learning
AISTATS 2020
Finite-Time Performance of Distributed Two-Time-Scale Stochastic Approximation
L4DC 2020
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise
ICML 2020