Probability

Feasible Action Search for Bandit Linear Programs via Thompson Sampling ICML 2025 Formal Quality Measures for Predictors in Markov Decision Processes AAAI 2025 Generalized multi-view model: Adaptive density estimation under low-rank constraints JMLR 2025 Geodesic Slice Sampling on the Sphere JMLR 2025 High-accuracy sampling from constrained spaces with the Metropolis-adjusted Preconditioned Langevin Algorithm ALT 2025 High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions ICML 2025 Hypothesis Testing for Generalized Thurstone Models ICML 2025 Langevin Monte Carlo Beyond Lipschitz Gradient Continuity AAAI 2025 Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management AAAI 2025 Language Model Probabilities are Not Calibrated in Numeric Contexts ACL 2025 Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes IJCAI 2025 Leveraging Per-Instance Privacy for Machine Unlearning ICML 2025 Losing Momentum in Continuous-time Stochastic Optimisation JMLR 2025 Market Making without Regret COLT 2025 Multiple Mean-Payoff Optimization Under Local Stability Constraints AAAI 2025 New Bounds for Sparse Variational Gaussian Processes ICML 2025 Optimizing Noise Distributions for Differential Privacy ICML 2025 Pareto-Optimality, Smoothness, and Stochasticity in Learning-Augmented One-Max-Search ICML 2025 Probabilistic Factorial Experimental Design for Combinatorial Interventions ICML 2025 Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling ICLR 2025 Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics ICLR 2025 Quantifying the Effectiveness of Linear Preconditioning in Markov Chain Monte Carlo JMLR 2025 Quantile Multi-Armed Bandits with 1-bit Feedback ALT 2025 Regularized Langevin Dynamics for Combinatorial Optimization ICML 2025 Robustness of Quantum Algorithms for Nonconvex Optimization ICLR 2025