Probability

ByMI: Byzantine Machine Identification with False Discovery Rate Control ICML 2024 Can Gaussian Sketching Converge Faster on a Preconditioned Landscape? ICML 2024 Combining Machine Learning and Queueing Theory for Data-Driven Incarceration-Diversion Program Management AAAI 2024 Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise NeurIPS 2024 Concentration Inequalities for General Functions of Heavy-Tailed Random Variables ICML 2024 Constrained Sampling with Primal-Dual Langevin Monte Carlo NeurIPS 2024 Continuous-Time Graph Representation with Sequential Survival Process AAAI 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 Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations" JMLR 2024 Correlated Binomial Process COLT 2024 Decomposable Transformer Point Processes NeurIPS 2024 Deep Learning for Computing Convergence Rates of Markov Chains NeurIPS 2024 Detection of $L_∞$ Geometry in Random Geometric Graphs: Suboptimality of Triangles and Cluster Expansion COLT 2024 Differentially Private Decentralized Learning with Random Walks ICML 2024 Differentially Private Set Representations NeurIPS 2024 Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation NeurIPS 2024 Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NeurIPS 2024 Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels AISTATS 2024 Errors are Robustly Tamed in Cumulative Knowledge Processes COLT 2024 Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression NeurIPS 2024 Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families AAAI 2024 Faithful graphical representations of local independence AISTATS 2024 Formal Verification of Unknown Stochastic Systems via Non-parametric Estimation AISTATS 2024 From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach NeurIPS 2024