Stochastic Control (and Related Fields) Seminar: 2024-2025
Date Speaker Title
2024-09-09 Serdar Yüksel Stochastic Control with Partial Information
2024-09-16 Yunus Emre Demirci Refined bounds on near optimality of finite window policies in POMDPs
2024-09-23 Curtis McDonald (Yale Univ.)
Log Concave Coupling for Rapid Bayesian Neural Network Sampling
2024-10-01
Omar Mrani-Zentar
Decentralized Stochastic Control in Standard Borel Spaces: Centralized MDP Reductions and Near Optimality of Finite Window Local Agent Information
2024-10-07
Omar Mrani-Zentar Decentralized Stochastic Control in Standard Borel Spaces: Centralized MDP Reductions and Near Optimality of Finite Window Local Agent Information
2024-10-21
Connor Braun
Synthesis of Decentralized Stochastic Control Models for Neuronal Networks
2024-10-28
Yunus Emre Demirci Application of the Birkhoff-Hopf Contraction Theorem:  Stability of Nonlinear Filters
2024-11-05
Omar Mrani-Zentar
Data-Driven Non-Parametric Model Learning and Adaptive Control of MDPs with Borel spaces: Identifiability and Near Optimal Design
2024-11-11
Sinan Gezici (Bilkent Univ.)
Optimal Decision Rules for Hypothesis Testing Problems and Benefits of Detector Randomization
2024-11-18
Thomas Emo
Optimal Zero Delay Coding of Markov Sources and Reinforcement Learning for Near Optimality
2024-11-25 Sinan Gezici (Bilkent Univ.) Prospect Theory based Hypothesis Testing and Optimal Decision Rules under General Criteria Involving Error Probabilities
2025-01-17
Omar Mrani-Zentar Topologies on Kernels, their Approximations and Learning, and Optimal Adaptive Control
2025-01-31
Osman Biçer
Finite Model Approximations in Standard Borel MDPs via Non-Uniform Quantization: Continuity of Discounted Cost in Policy and Implications for Error Analysis
2025-02-06
Thomas Emo
Optimality of Stationary Policies for Zero Delay Coding under Infinite Horizon Average Cost Criteria
2025-02-13
Connor Braun
Introduction to Mean Field Games and their Graphon Generalizations
2025-02-27
Sina Sanjari
Introduction to Generative Learning
2025-03-07
Yunus Emre Demirci
Robustness to Incorrect Models in Partially Observable Markov Decision Processes via Wasserstein Regularity of Filter Dynamics
2025-03-14
Spencer Hill
Mathematical Introduction to Deep Learning
2025-03-21
Hilaire Epstein Nonhou Zogo
Event-Triggered Real Time Scheduling of Stabilizing Control Tasks
2025-04-04
Omar Mrani-Zentar On Near Optimality of Stationary and Finite Memory Policies in Decentralized Stochastic Control
2025-05-13
Yunus Emre Demirci
Wasserstein Perturbation Bounds on Filter Kernels in State Transition and Measurement Kernel Uncertainty
2025-05-15 Omar Mrani-Zentar Periodic Q-learning for POMDPs with compression of the history process
2025-05-20
Ilir Gujisa
Simultaneous Localization and Mapping (SLAM) as a Stochastic Control Problem
2025-05-22
Connor Braun

















Fall: Mondays at 10:30-11:30 (Room 319)
Winter: Fridays at 15:45-16:45 (Room 319)