Allerton

Publications

2023

Jérôme Taupin, Yassir Jedra, Alexandre Proutière
Best Policy Identification in Linear MDPs. Allerton (2023)
Joonhyuk Yang, Hye Won Chung
Graph Matching in Correlated Stochastic Block Models for Improved Graph Clustering. Allerton (2023)
Sina Arefizadeh, Angelia Nedic
Characterization of Potential Games: Application in Aggregative Games. Allerton (2023)
Phuc Lu Le, Son Hoang Dau, Hy Dinh Ngo, Thuc D. Nguyen
New Results on Erasure Combinatorial Batch Codes. Allerton (2023)
Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, Shankar Sastry
Dynamic Tolling in Arc-based Traffic Assignment Models. Allerton (2023)
Charles A. Bouman, Gregery T. Buzzard
Generative Plug and Play: Posterior Sampling for Inverse Problems. Allerton (2023)
Ivan Perez Avellaneda, Luis A. Duffaut Espinosa
. Allerton (2023)
Sayantan Chakraborty, Rahul Jain, Pranab Sen
One-Shot Non-Catalytic Distributed Purity Distillation. Allerton (2023)
Caio Kalil Lauand, Ana Busic, Sean P. Meyn
Inverse Free Zap Stochastic Approximation Extended Abstract. Allerton (2023)
Kunal Garg, Chuchu Fan
Neural Network-based Fault Detection and Identification for Quadrotors using Dynamic Symmetry. Allerton (2023)
Arunabh Srivastava, Sennur Ulukus
Age of Gossip on a Grid. Allerton (2023)
Sina Eghbal, Badri N. Vellambi, Lawrence Ong, Parastoo Sadeghi
An Improved Greedy Cover Algorithm for Pliable Index Coding. Allerton (2023)
Xinyi Tong, Shao-Lun Huang
Optimal Error Exponent of Type-Based Distributed Hypothesis Testing over AWGN Channels. Allerton (2023)
Ulysses Lee, Laurence B. Milstein
Subspace Methods for Blind Fractionally-Spaced Equalization of Distributed Phase-Shift Beamforming Signals. Allerton (2023)
Fernando Paganini, Andrés Ferragut
Dynamic Load Balancing of Selfish Drivers between Spatially Distributed Electrical Vehicle Charging Stations. Allerton (2023)
Xiangxiang Xu, Lizhong Zheng
Sequential Dependence Decomposition and Feature Learning. Allerton (2023)
Lars Lindemann, Xin Qin, Jyotirmoy V. Deshmukh, George J. Pappas
Conformal Prediction for STL Runtime Verification. Allerton (2023)
Bernard C. Lesieutre, Bhumesh Kumar
Participation Factor Analysis of Nonlinear Systems: Beyond Equilibria. Allerton (2023)
Richard Combes, Raymond Zhang
Curse of Dimension of Thompson Sampling for Combinatorial Bandits : (Invited presentation). Allerton (2023)
Apostolos I. Rikos, Nicolaos E. Manitara, Gabriele Oliva, Christoforos N. Hadjicostis
Privacy-Preservation for Distributed Quantized k-means Clustering. Allerton (2023)
Ahmed Ali Abbasi, Shana Moothedath, Namrata Vaswani
Fast Federated Low Rank Matrix Completion. Allerton (2023)
Meiyu Zhong, Ravi Tandon
Learning Fair Classifiers via Min-Max F-divergence Regularization. Allerton (2023)
M. Hossein Abedinzadeh, Emrah Akyol
A Multidimensional Opinion Evolution Model with Confirmation Bias. Allerton (2023)
Steven H. Low
Three-phase Transformer Modeling. Allerton (2023)
Ruchira Ray, Marco Avella-Medina, Cynthia Rush
Asymptotics for power posterior mean estimation. Allerton (2023)
Anju Anand, Emrah Akyol
Strategic Quantization of a Noisy Source. Allerton (2023)
Shuai Huang, Deqiang Qiu
Rotation-Invariant Correlation Features for 2d Sparse Unknown View Tomography. Allerton (2023)
Pouya Samanipour, Hasan A. Poonawala
Automated Stability Analysis of Piecewise Affine Dynamics Using Vertices. Allerton (2023)
Silpa Babu, Namrata Vaswani
A Fast Algorithm for Low Rank + Sparse column-wise Compressive Sensing. Allerton (2023)
Xinghan Wang, Nasimeh Heydaribeni, Farinaz Koushanfar, Tara Javidi
Federated Certainty Equivalence Control for Linear Gaussian Systems with Unknown Decoupled Dynamics and Quadratic Common Cost. Allerton (2023)
Qi Zhu, Wenchao Li, Chao Huang, Xin Chen, Weichao Zhou, Yixuan Wang, Jiajun Li, Feisi Fu
Verification and Design of Robust and Safe Neural Network-enabled Autonomous Systems. Allerton (2023)
Jamie Haddock, Anna Ma, Elizaveta Rebrova
On Subsampled Quantile Randomized Kaczmarz. Allerton (2023)
Tharindu Adikari, Haider Al-Lawati, Jason Lam, Zhenhua Hu, Stark C. Draper
Straggler Exploitation in Distributed Computing Systems with Task Grouping. Allerton (2023)
Sravani Ramishetty, Abolfazl Hashemi
High Probability Guarantees For Federated Learning. Allerton (2023)
Giuseppe Cotardo, Gretchen L. Matthews, Julia Shapiro, Alberto Ravagnani
Multishot Adversarial Network Decoding. Allerton (2023)
Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng
Robust Transfer Learning Based on Minimax Principle. Allerton (2023)
Keith Paarporn
Non-myopic agents can stabilize cooperation in feedback-evolving games. Allerton (2023)
Mohammad Reza Deylam Salehi, Derya Malak
An Achievable Low Complexity Encoding Scheme for Coloring Cyclic Graphs. Allerton (2023)
Pawan Poojary, Randall Berry
Observational Learning in Mean-Field Games with Imperfect Observations. Allerton (2023)
Vinayak Ramkumar, Netanel Raviv, Itzhak Tamo
Coefficient Complexity in Low-Access Quantized Linear Computations. Allerton (2023)
Yunshen Huang, Wenbo He, Shen Zeng
A Differential Dynamic Programming-based Approach for Balancing Energy and Time Optimality in Motion Planning. Allerton (2023)
59th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2023, Monticello, IL, USA, September 26-29, 2023 Allerton (2023)
Amin Shojaeighadikolaei, Morteza Hashemi
An Efficient Distributed Multi-Agent Reinforcement Learning for EV Charging Network Control. Allerton (2023)
Jeremy Johnston, Xiao-Yang Liu, Shixun Wu, Xiaodong Wang
Downlink Beamforming Optimization via Deep Learning. Allerton (2023)
Yuming Han, Zixiang Xiong, Anders Høst-Madsen
On Energy-Delay Tradeoff in Uncoordinated MAC. Allerton (2023)
Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein, Lang Tong
Operating-Envelopes-Aware Decentralized Welfare Maximization for Energy Communities. Allerton (2023)
Syed Eqbal Alam, Dhirendra Shukla
Communication-efficient Preference-based Federated Multi-resource Allocation. Allerton (2023)
Ankit Pratap Singh, Namrata Vaswani
Byzantine-resilient Federated Low Rank Column-wise Compressive Sensing. Allerton (2023)
Hyunwook Kang, P. R. Kumar
Bounded (O(1)) Regret Recommendation Learning via Synthetic Controls Oracle. Allerton (2023)
Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations. Allerton (2023)