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Papers
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
ICML 2021
Conditional Poisson Stochastic Beams
EMNLP 2021
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
ICML 2021
Coupled Gradient Estimators for Discrete Latent Variables
NeurIPS 2021
Deep Bayesian Quadrature Policy Optimization
AAAI 2021
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD
NeurIPS 2021
Efficient debiased evidence estimation by multilevel Monte Carlo sampling
UAI 2021
Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems
NeurIPS 2021
Efficient Neural Network Training via Forward and Backward Propagation Sparsification
NeurIPS 2021
ErrorCompensatedX: error compensation for variance reduced algorithms
NeurIPS 2021
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs
NeurIPS 2021
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction
ICML 2021
Federated-EM with heterogeneity mitigation and variance reduction
NeurIPS 2021
Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity
ICLR 2021
Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment
IJCAI 2021
Improving Hashing Algorithms for Similarity Search via MLE and the Control Variates Trick
ACML 2021
Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression
AISTATS 2021
Independence-aware Advantage Estimation
IJCAI 2021
Langevin Monte Carlo: random coordinate descent and variance reduction
JMLR 2021
Language Resource Efficient Learning for Captioning
EMNLP 2021
L-SVRG and L-Katyusha with Arbitrary Sampling
JMLR 2021
Machine Learning for Variance Reduction in Online Experiments
NeurIPS 2021
MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents
NeurIPS 2021
Marginalized Stochastic Natural Gradients for Black-Box Variational Inference
ICML 2021
Maximal Couplings of the Metropolis-Hastings Algorithm
AISTATS 2021