Stochastic Methods

Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification NeurIPS 2024 Universal Exact Compression of Differentially Private Mechanisms NeurIPS 2024 Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction NeurIPS 2024 Wasserstein Differential Privacy AAAI 2024 Where is the signal in tokenization space? EMNLP 2024 Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion NeurIPS 2024 ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-Order Optimization AAAI 2024 z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning AAAI 2024 AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration AAAI 2023 Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time ICLR 2023 Achieving O(ε^-1.5) Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization NeurIPS 2023 Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting ACML 2023 Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction NeurIPS 2023 Adaptive Tuning for Metropolis Adjusted Langevin Trajectories AISTATS 2023 A Dynamical System View of Langevin-Based Non-Convex Sampling NeurIPS 2023 A Guide Through the Zoo of Biased SGD NeurIPS 2023 Algorithmic Gaussianization through Sketching: Converting Data into Sub-gaussian Random Designs COLT 2023 A Model-Based Method for Minimizing CVaR and Beyond ICML 2023 Approximate Stein Classes for Truncated Density Estimation ICML 2023 A Randomized Approach to Tight Privacy Accounting NeurIPS 2023 Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees JMLR 2023 Automatically marginalized MCMC in probabilistic programming ICML 2023 Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger NeurIPS 2023 A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization AISTATS 2023 Bandit Task Assignment with Unknown Processing Time NeurIPS 2023