mini-batch sampling

Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation ICLR 2025 Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement NeurIPS 2024 Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications ICML 2022 Revisiting the Effects of Stochasticity for Hamiltonian Samplers ICML 2022 SGD Can Converge to Local Maxima ICLR 2022 Stochastic Extragradient: General Analysis and Improved Rates AISTATS 2022 Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD NeurIPS 2021 Unbalanced minibatch Optimal Transport; applications to Domain Adaptation ICML 2021 Asymptotically Optimal Exact Minibatch Metropolis-Hastings NeurIPS 2020 On the Noisy Gradient Descent that Generalizes as SGD ICML 2020 Accelerated Coordinate Descent with Arbitrary Sampling and Best Rates for Minibatches AISTATS 2019 Active Mini-Batch Sampling Using Repulsive Point Processes AAAI 2019 An Efficient Minibatch Acceptance Test for Metropolis-Hastings IJCAI 2018 Minibatch Gibbs Sampling on Large Graphical Models ICML 2018 Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization IJCAI 2017 Approximate Slice Sampling for Bayesian Posterior Inference AISTATS 2014