2019 IEEE North American School of Information Theory
Poster Session Themes and Titles

Information Theory

Wael Alghamdi, Mutual Information as a Function of Moments

Yu Cao, Tensorization of the strong data processing inequality for quantum chi-square divergences

Aditya Deshmukh, Sequential Controlled Sensing for Composite Multihypothesis Testing

Lin Ling, Scalable Automated Proving of Information Theoretic Inequalities with Proximal Algorithms

James Melbourne, Entropy concavity deficits

Chathurangi Pathiravasan, Analysis of Variance Models through Information Theory

Jian-Jia Weng, Two Transmission Problems over Two-Way Channels

Semih Yagli, Bounding the Number of Mass Points of the Capacity-Achieving Input for the Amplitude and Power Constrained Additive Gaussian Channel

Hengjie Yang, On the Most Informative Boolean Functions of the Very Noisy Channel

Alex Young, Efficiency of k-Nearest Neighbor Entropy Estimation in Stationary Time Series

Applications of Information Theory

Lina Aboulmouna and Raja Rubesh, Application of Cybernetic Control Variables in the Modeling of Lipid Metabolism in Mammalian Systems

Hao Lou, Evolution of \(N\)-gram Frequencies under Duplication and Substitution Mutations

Lili Su, Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits

Praveen Venkatesh, How Should we Define Information Flow in Neuroscience?

Alan Yang, Effects of Semantic Diversity on Majority Judgement

Liren Yu, Correct the Output of Social Network De-anonymization Algorithm

Machine Learning and Statistics

Gautam Aishwarya, Some properties of Renyi Mutual Informations

Amir Asadi, Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Nets

Ghadir Ayache, Decentralized Learning on Graphs via Random Walk

Tavor Baharav, Accelerating Computation Problems using Multi-Armed Bandits

Tao Jin, Rank Aggregation via Heterogeneous Thurstone Models

Jingbo Liu, Recursive inference on tree with limited memory: a Wasserstein approach

Akshayaa Magesh, Decentralized Multi Player Multi-Armed Bandits for Uncoordinated Spectrum Access

Wireless and Networking

Xingran Chen, Benefits of Coding on Age of Information in Broadcast Networks

Dennis Ogbe, On the Optimal Delay Amplification Factor of Multi-Hop Relay Channels

Muddassar Hussain, Robust Beam-Alignment for Millimeter Wave Networks

Juan Vidal Alegría, Decentralized Equalizer Construction for Large Intelligent Surfaces

Xiang Zhang, Cache-aided interference management using hypercube combinatorial cache design

Privacy and Security

Nadia Kazemi, Single-Server Single-Message Online Private Information Retrieval with Side Information

Carolina Naim, On-Off Privacy with Correlated Requests

Nazanin Takbiri, Leveraging Prior Knowledge Asymmetries in the Design of IoT Privacy- Preserving Mechanisms

Coding Theory

Sourya Basu, Polar Codes for Simultaneous Information and Energy Transmission

Anna Chlopecki, Outer Bounds in Distributed Storage

Alejandro Cohen, Secure Distributed Cloud Storage

Andrew Cummins, Iterative Threshold Decoding of Braided Convolutional Codes

Mohammad Fereydounian, Channel Coding at Low Capacity

Md Shoriful Islam, Coding for Deletion and Insertion Channels

Esmaeil Karimi, User Localization in MmWave Cells: A Non-Adaptive Quantitative Group Testing Approach based on Sparse Graph Codes

Aubrey Laskowski, Outer Bounds in Distributed Storage

Xiao Li, Data collection on Johnson graphs

Carolyn Mayer, Service Rate Regions in Distributed Storage Systems

Joachim Neu, Ternary Quantized Polar Code Decoders: Analysis and Design

Alexandra Porter, Embedded Index Coding

Yuanyuan Tang, Single-Error Detection and Correction for Duplication and Substitution Channels

Weili Wu, Outer bounds in distributed storage

Coding Theory for Distributed Learning

Rawad Bitar, Stochastic Gradient Coding for Flexible Straggler Mitigation in Distributed Learning

Rafael D’Oliveira, GASP Codes for Secure Distributed Matrix Multiplication

Anindya Bijoy Das, Distributed Matrix-Vector Multiplication, A Convolutional Coding Approach

Adel Elmahdy, Optimizing Data Shuffling for Distributed Machine Learning

Mohammad Fahim, Numerically Stable Polynomially Coded Computing

Farzin Haddadpour, Cross-iteration coded computing

Konstantinos Konstantinidis, Leveraging Coding Techniques for Speeding up Distributed Computing

Ankur Mallick, Rateless Codes for Distributed Computations with Sparse Compressed Matrices

Amirhossein Reisizadeh, CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning

Statistics and Machine Learning

Aditya Gangrade, Testing Communities in Stochastic Block Models

Kuan-Yun Lee, A Family of Bayesian Cramer-Rao Bounds

Vaishakhi Mayya, The Geometry of Community Detection

Mohamed Mohamed, Context Aware Laplacian Mechanism for Local Information Privacy

Gabe Schamberg, On the Bias of Directed Information Estimators

Tyler Sypherd, A Tunable Loss Function for Binary Classification

Om Dipakbhai Thakkar, Model-Agnostic Private Learning

Hao Wang, Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions

Security

Malihe Aliasgari, Distributed and Secure Coded Matrix Computation with Flexible Communication Load

Bo Guan, Achievable Information-Theoretic Secrecy in the Presence of a Radar

Anoosheh Heidarzadeh, The Role of Side Information in Single-Server Private Information Retrieval

Ke Li, Covert Communications on Continuous-Time Channels

Morteza Shoushtari, Secure Coding for Caching Channels

Mahdi Soleymani, Distributed Multi-User Secret Sharing