Program for Thursday, September 29th: Talk View

PROGRAM FOR THURSDAY, SEPTEMBER 29TH: 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

13:00

13:30

14:00

14:30

15:00

15:30

16:00

16:30

17:00

17:30

08:30-10:10

On the connection between reinforcement learning and gradient descent

Alex Olshevsky

08:30-10:10

GRAND: A Gradient-Related Ascent and Descent Algorithmic Framework for Minimax Problems

Xiaochun Niu, Ermin Wei

08:30-10:10

Random Adaptation Perspective to Distributed Computation

Behrouz Touri, Rohit Parasnis, Massimo Franceschetti, Ashwin Verma

08:30-10:10

On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory

Yang Hu, Adam Wierman, Guannan Qu

08:30-10:10

Convex Optimization of Bioprocesses

Josh Taylor

08:30-10:10

A safe pricing algorithm for distributed demand management

Mahnoosh Alizadeh

08:30-10:10

Storage Participation with State-of-Charge Dependent Offers and Bids: Market Clearing, Pricing, and Incentive

Cong Chen, Lang Tong

08:30-10:10

Inverse Power Flow Problem

Ye Yuan, Steven Low, Omid Ardakanian, Claire Tomlin

08:30-10:10

Synchronized Stop and Re-start Distributed Average Consensus for Control and Coordination

Nicolas Manitaras, Christoforos Hadjicostis, Themistoklis Charalambous

08:30-10:10

Unbounded Gradients in Federated Leaning with Buffered Asynchronous Aggregation

Mohammad Taha Toghani, Cesar A. Uribe

08:30-10:10

Escaping saddle points in zeroth-order optimization: two function evaluations suffice

Zhaolin Ren, Na Li

08:30-10:10

Symmetric Natural Policy Gradient for Regularized Multi-Agent Learning with Parameter Convergence

Sarath Pattathil, Kaiqing Zhang, Asu Ozdaglar

08:30-10:10

Black-box Control for Linear Dynamical Systems

Xinyi Chen, Elad Hazan

08:30-10:10

On the sample complexity of entropic optimal transport

Philippe Rigollet, Austin Stromme

08:30-10:10

Detection-Recovery Gap for Planted Dense Cycles

Cheng Mao, Alexander Wein

08:30-10:10

Recursive Causal Structure Learning

Negar Kiyavash, Sina Akbari, Ehsan Mokhtarian, Amiremad Ghassami

08:30-10:10

The TAP free energy for high-dimensional linear regression with uniform spherical prior

Jiaze Qiu, Subhabrata Sen

08:30-10:10

Local convexity of the TAP free energy and AMP convergence for Z2-synchronization

Song Mei, Michael Celentano, Zhou Fan

10:10-10:30 Break

10:30-11:40 Todd Coleman Plenary Lecture

11:40-13:30 Lunch

13:30-15:10

Phase transitions in the Gaussian database alignment and planted Gaussian matching problems

Daniel Cullina

13:30-15:10

Low-rank matrix estimation with groupwise heteroskedasticity

Galen Reeves

13:30-15:10

Understanding the generalization power of overfitted NTK models: 3-layer vs. 2-layer

Peizhong Ju, Xiaojun Lin, Ness Shroff

13:30-15:10

Universality of High-Dimensional Estimation with Nearly Deterministic Sensing Matrices

Rishabh Dudeja, Subhabrata Sen, Yue Lu

13:30-15:10

Stable and Decentralized Learning for Voltage Regulation

Wenqi Cui, Weiwei Yang, Baosen Zhang

13:30-15:10

Model-Enhanced Localization of Forced Oscillation Using PMU Data

Bernard Lesieutre, Yasmine Abdennadher, Sandip Roy

13:30-15:10

Graph Convolutional Neural Networks for Control of Smart Inverters in Power Grids

Anna Scaglione, Tong Wu, Daniel Arnold

13:30-15:10

Bringing Data Science and Machine Learning into Electricity Markets

Yury Dvorkin

13:30-15:10

Data-driven estimation of probabilistic constraints for network-safe distributed energy resource

Sunho Jang, Necmiye Ozay, Johanna Mathieu

13:30-15:10

Individual Altruism Cannot Overcome Congestion Effects in a Global Pandemic Game

Philip Brown, Brandon Collins, Colton Hill, Gia Barboza, Lisa Hines

13:30-15:10

An Interactive Search Game with Two Agents

Xing Gao, Lev Reyzin

13:30-15:10

Identifying Influential Agents Via Faux Adversarial Games

Carmel Fiscko, Soummya Kar, Bruno Sinopoli

13:30-15:10

Equilibrium characterizations of multi-resource Lotto games

Adel Aghajan, Keith Paarporn, Jason Marden

13:30-15:10

Equilibrium analysis of game on heterogeneous networks with coupled activities

Jean-Baptiste Seby, Charles Harvey, Saurabh Amin

13:30-15:10

Second order methods for min-max optimization with stability guarantees

Raphael Chincilla, Guosong Yang, Joao Hespanha

13:30-15:10

Rubik Tables, Stack Rearrangement, and Multi-Robot Routing

Jingjin Yu

13:30-15:10

Guaranteeing safety for systems with missing measurements

Necmiye Ozay, Liren Yang

13:30-15:10

Asymptotically Optimal Worst-Case State Estimation over Noisy Channels

Ghassen Zafzouf, Farhad Farokhi, Girish Nair

13:30-15:10

Proximal methods for self-healing and exact distributed convex optimization

Randy Freeman

15:10-15:30 Break

15:30-17:10

Optimal Primary- and Secondary-control Design for Grids with Generators and Inverters

Manish Kumar Singh, D Venkatramanan, Sairaj Dhople

15:30-17:10

Compensating Network Dynamics in Grid-Forming Control

Dominic Groß

15:30-17:10

From Automatic Generation Control to Fast Frequency Control using Inverter-Based Resources

John Simpson-Porco

15:30-17:10

Dynamic Performance of Unified Grid-Forming/Following Inverter Control

Ian Hiskens, Sijia Geng

15:30-17:10

Approaches to Analysis of Power System Dynamics with High Penetration of Inverter Interfaced Devices

Kevin Tomsovic, Fatima Taousser, Seddik Djouadi

15:30-17:30

Information provision to manage strategic agents over star networks - static and dynamic designs

Sohil Shah, Saurabh Amin, Patrick Jaillet

15:30-17:30

Gradient play in stochastic games: stationary points, convergence, and sample complexity

Runyu Zhang, Zhaolin Ren, Na Li

15:30-17:30

Persuasion in Networks: Public Signals and Cores

Ozan Candogan

15:30-17:30

The Art of Concession in General Lotto Games

Jason Marden, Rahul Chandan, Keith Paarporn, Mahnoosh Alizadeh, Dan Kovenock

15:30-17:10

Minimum-Length Trace Reconstruction via Integer Programming

Huanran Li, Daniel Pimentel-Alarcón

15:30-17:10

Controlled Sensing with Corrupted Commands

Meng-Che Chang, Shi-Yuan Wang, Matthieu Bloch

15:30-17:10

An Information-Theoretic Analysis of Bayesian Reinforcement Learning

A. Gouverneur, B. Rodríguez-Gálvez, T.J. Oechtering, M. Skoglund

15:30-17:10

Finite-State Mutual Dimension

Adam Case, Jack Lutz

15:30-17:10

On Learning a Hidden Directed Graph with Path Queries

Mano Vikash Janardhanan, Lev Reyzin

15:30-16:30

Overparameterization improves robustness to covariate shift in high dimensions

Nilesh Tripuraneni, Ben Adlam, Jeffrey Pennington

15:30-16:30

A Kernel Analysis of Feature Learning in Deep Neural Networks

Abdulkadir Canatar, Cengiz Pehlevan

16:40-17:20

Opening the black box: deep-learned error-correcting codes

N. Devroye, A. Mulgund, R. Shekhar, G. Turan, Y. Wei, M. Zefran

16:40-17:20

On the Conley's decomposition for well-posed hybrid inclusions

Rafal Goebel