Thanks to all who attended the 2022 stochastic networks conference. Below you can find the slides and videos of all the presentations, the posters as well as photos taken during the conference.
Slides and Videos
Onno Boxma (Eindhoven University of Technology): From the single server queue to reflected autoregressive processes [Slides][Video]
Daniele Cappelletti (Politecnico di Torino): Solving the chemical recurrence conjecture in 2D [Slides] [Video]
Carri Chan (Columbia University): Managing queues with different resource requirement [Slides] [Video]
Todd Coleman (Stanford University): Kuramoto von Mises Autoregressive Statistical Models [Talk Cancelled]
Sergey Foss (Heriot-Watt University): Migration-Contagion Processes [Slides] [Video]
Nicolas Gast (INRIA): Computing the bias of mean field approximation [Slides][Video]
Varun Gupta (University of Chicago): Menu design of a bipartite matching queueing system with strategic users [Slides]
Sophie Haupthenne (University of Melbourne): The probabilities of extinction in a branching random walk [Slides][Video]
Rouba Ibrahim (University College London): Size-based scheduling in service systems [Slides][Video]
Jon Kleinberg (Cornell University): The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization [Slides][Video]
Henry Lam (Columbia): Towards Model-Agnostic Rare-Event Simulation with Guarantees [Slides][Video]
Nelly Litvak (University of Twente): Red Light – Green Light solution for large Markov chains [Slides][Video]
Alexandre Proutiere (KTH): Regret in Online Recommendation Systems [Slides][Video]
Kavita Ramanan (Brown University): Beyond mean-field limits in the study of large-scale networks
R. Srikant (University of Illinois, Urbana-Champaign): A Policy Gradient Algorithm for the Risk-Sensitive Exponential Cost MDP [Slides][Video]
Neil Walton (University of Manchester): Regret Analysis of a Markov Policy Gradient Algorithm for Multi-arm Bandits [Slides][Video]
Mengdi Wang (Princeton University): Thompson Sampling-Guided Directed Evolution for Sequence Optimization [Slides][Video]
Weina Wang (Carnegie Mellon University): Sharp Waiting-Time Bounds for Multiserver Jobs [Slides][Video]
Kuang Xu (Stanford University): Information design for load balancing [Slides][Video]
Christina Yu (Cornell University): Graph Agnostic Randomized Experimental Design under Heterogeneous Linear Network Interference and Beyond [Slides][Video]
Posters
Ellen Cardinaels (Eindhoven University of Technology): Heavy-traffic Universality of Redundancy Systems with Assignment Constraints [Poster]
Antonio Castellanos (Technion – Israel Institute of Technology): The Co-Production of Service: Modeling Service Times in Contact Centers Using Hawkes Processes [Poster]
Eyal Castiel (Technion – Israel Institute of Technology): Parallel server system in extended heavy traffic [Poster]
Vasilis Charisopoulos (Cornell University): Communication-efficient distributed eigenspace estimation with arbitrary node failures [Poster]
Zaiwei Chen (California Institute of Technology): Target Network and Truncation Overcome the Deadly Triad In Q-Learning [Poster]
Michel Davydov (Ecole Normale Supérieure): Propagation of chaos for Replica-Mean-Field networks [Poster]
Vikas Deep (Northwestern University): Discriminative Learning via Adaptive questioning [Poster]
XY Han (Cornell University): Gateway Approach to Exactly Computing Functionals of Stochastic Processes [Poster]
Yige Hong (Carnegie Mellon University): Maximizing Utilization in Large Systems Serving Jobs with Time-Varying Resource Requirements [Poster]
Alyf Janmohamed (Cornell University): Charging Fleets of E-bikes and E-scooters [Poster]
Prakirt Jhunjhunwala (Georgia Institute of Technology): Heavy Traffic Queue Length Distribution without Resource Pooling in an Input-Queued Switch [Poster]
Anand Kalvit (Columbia University): Dynamic learning in large matching markets [Poster]
Xiaohan Kang (University of Illinois at Urbana-Champaign): Maximum Likelihood Estimation of Optimal Receiver Operating Characteristic Curves From Likelihood Ratio Observations [Poster]
Zi Ling (University of Chicago): Real-Time Omnichannel Fulfillment Optimization [Poster]
Yashaswini Murthy (University of Illinois at Urbana-Champaign): Modified Policy Iteration for Exponential Cost Risk Sensitive MDPs [Poster]
Mirabel Reid (Georgia Institute of Technology): The k-cap Function on Geometric Random Graphs [Poster]
Tyler Sam (Cornell University): Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure [Poster]
Suryanarayana Sankagiri (University of Illinois at Urbana-Champaign): The Longest-Chain Protocol Under Random Delays [Poster]
Rohan Sarkar (Cornell University): A new notion of self-similarity on a lattice and classification schemes of Markov Processes [Poster]
Philipp Schneider (EPFL): Estimating Self-Exciting Point Processes from Censored Data [Poster]
Dennis Schol (Eindhoven University of Technology): Extreme Values of Large Fork-Join Queues [Poster]
Ziv Scully (Carnegie Mellon University): WINE: A New Queueing Identity with Multiserver Scheduling Applications [Poster]
Yonatan Shadmi (Technion- Israel Institute of Technology): Scheduling in the high uncertainty heavy traffic regime [Poster]
Ani Sridhar (Princeton University): Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities [Poster]
Jaap Storm (Eindhoven University of Technology): On the solutions of the throughput equations for ring-topology queueing networks in the unstable regime [Poster]
Andrew M Thomas (Cornell University): Limit theory for geometric U-statistics on diverging halfspaces [Poster]
Sushil Varma (Georgia Institute of Technology): Transportation Polytope and Its Applications in Parallel Server Systems [Poster]
![[Poster]](https://sites.northwestern.edu/snc2022/files/2022/07/Sushil-Varma.png){kind=link}
Xingyu Wang (Northwestern University): Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise [Poster]
![[Poster]](https://sites.northwestern.edu/snc2022/files/2022/07/Xingyu-Wang.png){kind=link}
Zicheng Wang (University of Minnesota): Autonomous Vehicles for Ride-Hailing [Poster]
Itsuki Watanabe (Waseda University): Continuum Limit of the Stochastic Model of Nonlocal Diffusion on Inhomogeneous Networks [Poster]
Wentao Weng (MIT): Efficient decentralized multi-agent learning in asymmetric queuing systems [Poster]
Jalani Williams (Carnegie Mellon University): A Tight Analysis Of Server Farms With Setup Times
Anna Winnicki (University of Illinois at Urbana-Champaign ): Reinforcement Learning with Unbiased Policy Evaluation and Linear Function Approximation [Poster]
Xiaotang Yang (University of Minnesota): Human in The Loop Autonomation: Rede-Hailing with Remote (Tele-) Drivers [Poster]
Sophie Yu (Duke University): Random graph matching: fundamental limits and efficient algorithms [Poster]
Zhiqiang Zhang (University of Chicago) When Machine Learning Classifications Impact Incarceration-Diversion Decisions in Criminal Justice Systems: Admission Control in a Multi-Class Loss Model [Poster]
Feiyang Zhao (University of Texas at Austin): A New Approach to Robust Stability of Multiclass Queueing Networks [Poster]
Zhisheng Zhao (Georgia Institute of Technology): Many-server asymptotics for JSQ in Super-Halfin-Whitt Regime [Poster]
Martin Zubeldia (Georgia Institute of Technology): Transient And Stability In Three-way Matching Systems With Abandonments [Poster]
Jinhang Zuo (Carnegie Mellon University): Multi-armed Bandits with Uncertain Constraints [Poster]
Photos
You can find the detailed program and schedule here
Find additional photos from the presentations, lightning round and poster session by following this link: Stochastic Networks 2022 photos folder