Program for Friday, September 27th: Talk View

PROGRAM FOR FRIDAY, SEPTEMBER 27TH: TALK VIEW

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View: with abstracts session overview

8:30

9:00

9:30

10:00

10:30

11:00

11:30

12:00

12:30

08:30-08:50

Braess’ Paradoxes in Electrified Transportation

Junjie Qin

08:50-09:10

Information Structures in AC/DC Grids

Josh Taylor

09:10-09:30

Fair-Over-Time Distributed Energy Resource Coordination

Johanna Mathieu

09:30-09:50

Transferable Learning of GCN Sampling Graph Data Clusters from Different Power Systems

Tong Wu, Anna Scaglione, Daniel Arnold, Tianyi Chen

09:50-10:10

Acknowledgment Feedback in Directed Graphs via Deterministic and Probabilistic Strategies

Christoforos Hadjicostis

08:30-08:50

The Sample-Communication Complexity Trade-off in Federated Q-Learning

Sudeep Salgia, Yuejie Chi

08:50-09:10

Incentive Mechanism Design for Federated Learning with Unstateful Clients

Bing Luo

09:10-09:30

How Do System Dynamics Affect the Convergence of Federated Learning?

Shiqiang Wang

09:30-09:50

collaborative exploration of unknown environments

Laurent Massoulié

09:50-10:10

Personalized Federated Learning with Shared Linear Representation: Statistically Optimal Rates

Xiaochun Niu, Lili Su, Jiaming Xu, Pengkun Yang

08:30-08:50

A robust testing approach to measuring model varability

Sinjini Banerjee, Tim Marrinan, Reilly Cannon, Tony Chiang, Anand Sarwate

08:50-09:10

An Information Geometric Analysis of Noise Contrastive Estimation

Hasan Sabri Melihcan Erol, Jiejun Jin, Lizhong Zheng

09:10-09:30

Impossibility of latent inner product recovery via rate distortion

Cheng Mao, Shenduo Zhang

09:30-09:50

OpAMP: Linear Regressions with Erasures

Riccardo Rossetti, Galen Reeves, Bobak Nazer

09:50-10:10

Chernoff Information as a Privacy Constraint for Adversarial Classification

Ayse Unsal, Melek Önen

08:30-08:50

Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning

Elissa Mhanna, Mohamad Assaad

08:50-09:10

Mobility in Age-Based Gossip Networks

Arunabh Srivastava, Sennur Ulukus

09:10-09:30

Linear-time Scheduling for Time-varying Wireless Networks via Randomization

Quang Minh Nguyen, Eytan Modiano

09:30-09:50

Traffic-driven Spectrum and Power Allocation via Scalable Multi-agent Reinforcement Learning

Yiming Zhang, Dongning Guo

10:30-10:50

Value Mirror Descent For Reinforcement Learning

Guanghui George Lan

10:50-11:10

Robust Conditional Value-at-Risk Based Risk-Sensitive Reinforcement Learning

Xinyi Ni, Lifeng Lai

11:10-11:30

Characterization of Slow Convergence in Word-of-Mouth Social Learning

Vikram Krishnamurthy, Cristian Rojas

11:30-11:50

Adaptive Text Watermark for Large Language Models

Yuheng Bu, Yepeng Liu

11:50-12:10

Achieving the Asymptotically Optimal Sample Complexity of Offline Reinforcement Learning: A DRO-Based

Yue Wang, Jinjun Xiong, Shaofeng Zou

12:10-12:30

Distributionally Robust Optimal Transport for Improved Model Robustness

Akram Awad, Shuchin Aeron, George Atia

10:30-10:50

Balancing Fairness and Efficiency in Power Systems with Large and Small Users

Matt Motoki, Jiayi Li, Baosen Zhang

10:50-11:10

Decentralized Equitable Energy Access in Energy Communities

Siying Li, Timothy Mount, Lang Tong

11:10-11:30

Stability-Constrained Voltage Control in Distribution Grids

Zhenyi Yuan, Jie Feng, Yuanyuan Shi, Jorge Cortes

11:30-11:50

Exploring Feasible Transition from Local to Global Optima in Power Systems

Bernard Lesieutre, Yiwen Gu, Patrick Panciatici

11:50-12:10

Reverse Kron Reduction on Trees

Steven Low

10:30-10:50

Linearly Solvable General-Sum Markov Games

Braden Soper, Caleb Miller, Dan Merl

10:50-11:10

Constrained Correlated Equilibria

Omar Boufous, El-Azouzi Rachid, Mikael Touati, Eitan Altman, Mustapha Bouhtou

11:10-11:30

Fairness of Equilibrium in Proportional Sharing Mechanisms with Bid Costs

Li Zhang, Sanjiv Kapoor

11:30-11:50

Price of Anarchy of a Censorship Policy removing Misinformation in a Social Network

Jérémy Petithomme, Corinne Touati, Christophe Bravard

11:50-12:10

Suppressing Overestimation in Q-Learning through Adversarial Behaviors

Hyeann Lee, Donghwan Lee

12:10-12:30

Non-Monotone Variational Inequalities

Sina Arefizadeh, Angelia Nedich

10:30-10:50

From Large Language Models to Large Agent Models: Planning and Reasoning with Physical World

Manling Li

10:50-11:10

Mitigating Backdoor Threats to Large Language Models

Qin Liu, Wenjie Mo, Terry Tong, Jiashu Xu, Fei Wang, Chaowei Xiao, Muhao Chen

11:10-11:30

Foundation Models for Robotic Manipulation: Opportunities and Challenges

Yunzhu Li

11:30-11:50

Dependence Induced Representations

Xiangxiang Xu, Lizhong Zheng

11:50-12:10

Efficient LLM Serving via Lossy Computation

Xia Hu

10:30-10:50

On the role of network structure in learning to coordinate with bounded rationality

Marcos Muller Vasconcelos, Yifei Zhang

10:50-11:10

Regularity and Approximations for Partially Observed Stochastic Control and Applications to Learning

Ali Kara, Serdar Yuksel

11:10-11:30

Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic

Alex DeWeese, Guannan Qu

11:30-11:50

Do LLM Agents Have Regret? A Case Study in Online Learning and Games

Chanwoo Park, Xiangyu Liu, Asuman Ozdaglar, Kaiqing Zhang