728 results on '"Peter W. Glynn"'
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2. Overlapping Batch Confidence Intervals on Statistical Functionals Constructed from Time Series: Application to Quantiles, Optimization, and Estimation.
3. Optimal Sample Complexity for Average Reward Markov Decision Processes.
4. Cosimla with General Regeneration Set to Compute Markov Chain Stationary Expectations.
5. Online Linear Programming with Batching.
6. When are Unbiased Monte Carlo Estimators More Preferable than Biased Ones?
7. A Numerical Truncation Approximation with A Posteriori Error Bounds for the Solution of Poisson's Equation.
8. Deep Learning for Computing Convergence Rates of Markov Chains.
9. Lyapunov Conditions for Differentiability of Markov Chain Expectations.
10. Simulation-Based Prediction.
11. Gaussian limits for scheduled traffic with super-heavy tailed perturbations.
12. Combining Numerical Linear Algebra with Simulation to Compute Stationary Distributions.
13. A posteriori error bounds for truncated Markov chain linear systems arising from first transition analysis.
14. On a single server queue fed by scheduled traffic with Pareto perturbations.
15. Distributed Stochastic Optimization with Large Delays.
16. Optimal Sample Complexity of Reinforcement Learning for Uniformly Ergodic Discounted Markov Decision Processes.
17. Overlapping Batch Confidence Intervals on Statistical Functionals Constructed from Time Series: Application to Quantiles, Optimization, and Estimation.
18. On the Maximization of Long-Run Reward CVaR for Markov Decision Processes.
19. Optimal Sample Complexity for Average Reward Markov Decision Processes.
20. Modified Frank Wolfe in Probability Space.
21. Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning.
22. Efficient Computation for Stratified Splitting.
23. Queueing theory: past, present, and future.
24. Optimal $δ$-Correct Best-Arm Selection for Heavy-Tailed Distributions.
25. Joint Resource Allocation for Input Data Collection and Simulation.
26. A Class of Optimal Transport Regularized Formulations with Applications to Wasserstein GANs.
27. Comparing Regenerative-Simulation-Based Estimators of the Distribution of the Hitting Time to a Rarely Visited Set.
28. Technical Note - Approximating Systems Fed by Poisson Processes with Rapidly Changing Arrival Rates.
29. Robust Power Management via Learning and Game Design.
30. Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach.
31. Computing Sensitivities for Distortion Risk Measures.
32. Surgical Scheduling via Optimization and Machine Learning with Long-Tailed Data.
33. A New Truncation Algorithm for Markov Chain Equilibrium Distributions with Computable Error Bounds.
34. On Convergence of a Truncation Scheme for Approximating Stationary Distributions of Continuous State Space Markov Chains and Processes.
35. The Typical Behavior of Bandit Algorithms.
36. Minimax Optimal Estimation of Stability Under Distribution Shift.
37. The Design and Implementation of a Broadly Applicable Algorithm for Optimizing Intra-Day Surgical Scheduling.
38. Risk-Sensitive Markov Decision Processes with Long-Run CVaR Criterion.
39. On Convergence of General Truncation-Augmentation Schemes for Approximating Stationary Distributions of Markov Chains.
40. Multivariate Distributionally Robust Convex Regression under Absolute Error Loss.
41. Experimental Investigation of a Capacity-Based Demand Response Mechanism for District-Scale Applications.
42. The Asymptotic Validity of Sequential Stopping Rules for Confidence Interval Construction Using Standardized Time Series.
43. Estimation and Inference for Non-Stationary Arrival Models with a Linear Trend.
44. Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning.
45. On the Convergence of Mirror Descent beyond Stochastic Convex Programming.
46. Technical Note - Central Limit Theorems for Estimated Functions at Estimated Points.
47. Learning in Games with Lossy Feedback.
48. An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets.
49. Using Regenerative simulation to Calibrate exponential Approximations to Risk Measures of Hitting times to rarely Visited Sets.
50. Constructing simulation output Intervals under input uncertainty via Data sectioning.
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