Stochastic Methods

Beyond the Calibration Point: Mechanism Comparison in Differential Privacy ICML 2024 Big Learning Expectation Maximization AAAI 2024 Boosting Diffusion Models with an Adaptive Momentum Sampler IJCAI 2024 Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems AISTATS 2024 Bridging the Gap between General and Down-Closed Convex Sets in Submodular Maximization IJCAI 2024 Budget Feasible Mechanisms: A Survey IJCAI 2024 Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NeurIPS 2024 Catapults in SGD: spikes in the training loss and their impact on generalization through feature learning ICML 2024 Closing the Computational-Query Depth Gap in Parallel Stochastic Convex Optimization COLT 2024 Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints AISTATS 2024 Compressed and distributed least-squares regression: convergence rates with applications to federated learning JMLR 2024 Concentration of empirical barycenters in metric spaces ALT 2024 Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms IJCAI 2024 Constant or Logarithmic Regret in Asynchronous Multiplayer Bandits with Limited Communication AISTATS 2024 Constrained Sampling with Primal-Dual Langevin Monte Carlo NeurIPS 2024 Contextual Decision-Making with Knapsacks Beyond the Worst Case NeurIPS 2024 Contextual Pandora’s Box AAAI 2024 Continual Counting with Gradual Privacy Expiration NeurIPS 2024 Contraction of Markovian Operators in Orlicz Spaces and Error Bounds for Markov Chain Monte Carlo (Extended Abstract) COLT 2024 Convergence of Kinetic Langevin Monte Carlo on Lie groups COLT 2024 Convergence of Message-Passing Graph Neural Networks with Generic Aggregation on Large Random Graphs JMLR 2024 Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization AISTATS 2024 Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations AISTATS 2024 Data-driven robust covariance control for uncertain linear systems L4DC 2024 Data subsampling for Poisson regression with pth-root-link NeurIPS 2024