Probability

Sampling and Estimation on Manifolds using the Langevin Diffusion JMLR 2025 SConU: Selective Conformal Uncertainty in Large Language Models ACL 2025 Score matching for bridges without learning time-reversals AISTATS 2025 Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces AISTATS 2025 Testing Thresholds and Spectral Properties of High-Dimensional Random Toroidal Graphs via Edgeworth-Style Expansions COLT 2025 The Polynomial Stein Discrepancy for Assessing Moment Convergence ICML 2025 Thompson Sampling for Bandit Convex Optimisation COLT 2025 Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way AISTATS 2025 VeRecycle: Reclaiming Guarantees from Probabilistic Certificates for Stochastic Dynamical Systems after Change IJCAI 2025 3D Gaussian Splatting as Markov Chain Monte Carlo NeurIPS 2024 Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need ICML 2024 Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization AISTATS 2024 Adversarial Attacks on Combinatorial Multi-Armed Bandits ICML 2024 Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits NeurIPS 2024 Analysis of Differentially Private Synthetic Data: A Measurement Error Approach AAAI 2024 An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations NeurIPS 2024 A Novel Approach for Longitudinal Modeling of Aging Health and Predicting Mortality Rates AAAI 2024 Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo WACV 2024 A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers NeurIPS 2024 autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm AISTATS 2024 Backward Filtering Forward Deciding in Linear Non-Gaussian State Space Models AISTATS 2024 Bayesian Optimization of Function Networks with Partial Evaluations ICML 2024 BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence AAAI 2024 Bias Amplification in Language Model Evolution: An Iterated Learning Perspective NeurIPS 2024 Breaking the curse of dimensionality in structured density estimation NeurIPS 2024