Technical Program for Friday October 5, 2018

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FrA1 Library
Intelligent Goal-Driven Networks Invited Session
Chair: Basar, TamerUniversity of Illinois
Organizer: Veeravalli, VenuUniv. of Illinois
Organizer: Abdelzaher, TarekUIUC
Organizer: Basar, TamerUniv. of Illinois
08:30-08:50, Paper FrA1.1 
Data-Efficient Learning of Robust Control Policies (I)
Jha, SusmitSRI International
Lincoln, PatrickSRI International
08:50-09:10, Paper FrA1.2 
Game Theoretic Modeling of Cyber Deception in the Internet of Battlefield Things (I)
Kamhoua, CharlesArmy Research Laboratory
09:10-09:30, Paper FrA1.3 
Data Encoding for Byzantine-Resilient Distributed Gradient Descent (I)
Data, DeepeshUniversity of California, Los Angeles (UCLA)
Song, LinqiCity Univ. of Hong Kong
Diggavi, SuhasUniversity of California, Los Angeles (UCLA)
09:30-09:50, Paper FrA1.4 
Scheduling and Estimation Strategies in a Sequential Networked Estimation Problem
Gagrani, MukulUniversity of Southern California
Vasconcelos, MarcosUniversity of Southern California
Nayyar, AshutoshUniversity of Southern California
09:50-10:10, Paper FrA1.5 
Network Archaeology Via Epidemic Processes: The Case of Growing Trees
Magner, AbramUniversity of Michigan
Padakandla, ArunCenter for the Science of Information, Purdue University
FrA2 Solarium
Distributed Systems and Optimization Regular Session
Chair: Tanaka, TakashiUniversity of Texas at Austin
08:30-08:50, Paper FrA2.1 
Masterless Coded Computing: A Fully-Distributed Coded FFT Algorithm
Jeong, HaewonCarnegie Mellon University
Low, Tze MengCarnegie Mellon University
Grover, PulkitCarnegie Mellon University
08:50-09:10, Paper FrA2.2 
On Optimal Proactive Caching with Improving Predictions Over Time
Tadrous, JohnGonzaga University
Eryilmaz, AtillaOhio State University
09:10-09:30, Paper FrA2.3 
Simulated Annealing for Optimal Resource Allocation in Wireless Networks with Imperfect Communications
Kwak, JaewookThe Ohio State University
Shroff, NessThe Ohio State University
09:30-09:50, Paper FrA2.4 
Entropy Maximization for Constrained Markov Decision Processes
Savas, YagizUniversity of Texas at Austin
Ornik, MelkiorUniversity of Texas at Austin
Cubuktepe, MuratUniversity of Texas at Austin
Topcu, UfukThe University of Texas at Austin
09:50-10:10, Paper FrA2.5 
Some Results on the Computation of Feedback Capacity of Gaussian Channels with Memory
Pedram, Ali RezaUniversity of Texas at Austin
Tanaka, TakashiUniversity of Texas at Austin
FrA3 Butternut
Optimization Regular Session
Chair: Atallah, ElieUniversity of Central Florida
08:30-08:50, Paper FrA3.1 
Accelerated Gossip Via Stochastic Heavy Ball Method
Loizou, NicolasUniveristy of Edinburgh
Richtarik, PeterUniversity of Edinburgh, KAUST, MIPT
08:50-09:10, Paper FrA3.2 
Learning Proximal Operators with Gaussian Processes
Nghiem, Truong X.Northern Arizona University
Stathopoulos, GeorgiosEPFL
Jones, ColinEPFL
09:10-09:30, Paper FrA3.3 
Decomposition Methods for Distributed Quadratic Programming with Application to Distributed Model Predictive Control
Costantini, GiulianoUniversity of Kaiserslautern
Rostami, RaminUniversity of Kaiserslautern
Görges, DanielUniversity of Kaiserslautern
09:30-09:50, Paper FrA3.4 
A Code Based Distributed Gradient Descent Method
Atallah, ElieUniversity of Central Florida
Rahnavard, NazaninUniversity of Central Florida
09:50-10:10, Paper FrA3.5 
Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms
Zhang, XueruUniversity of Michigan - Ann Arbor
Khalili, Mohammad MahdiUniversity of Michigan - Ann Arbor
Liu, MingyanUniversity of Michigan
FrA4 Pine
Sensor Networks and Security Regular Session
Chair: Arafa, AhmedPrinceton University
08:30-08:50, Paper FrA4.1 
Online Timely Status Updates with Erasures for Energy Harvesting Sensors
Arafa, AhmedPrinceton University
Yang, JingPennsylvania State University
Ulukus, SennurUniversity of Maryland
Poor, H. VincentPrinceton University
08:50-09:10, Paper FrA4.2 
Analysis and Detection of Cyber-Physical Attacks in Distributed Sensor Networks
Mustafa, AquibMichigan State University
Modares, HamidrezaMichigan State University
09:10-09:30, Paper FrA4.3 
2D Linear Detector Based on Generalized Belief Propagation Algorithm
Matcha, Chaitanya KumarIndian Institute of Science
Garani, Shayan SrinivasaIndian Institute of Science
09:30-09:50, Paper FrA4.4 
The Caching Broadcast Channel with a Wire and Cache Tapping Adversary of Type II: Multiple Library Files
Nafea, MohamedThe Pennsylvania State University
Yener, AylinThe Pennsylvania State University
09:50-10:10, Paper FrA4.5 
Tensor-Based Spectral Analysis of Cascading Failures Over Multilayer Complex Systems
Zhang, SongyangUniversity of California, Davis
Zhang, HanUniversity of California, Davis
Li, HangShenzhen Research Institute of Big Data
Cui, ShuguangUniversity of California, Davis
FrA5 Lower Level
Learning and Inference Regular Session
Chair: Shah, DevavratMIT
08:30-08:50, Paper FrA5.1 
Monotone Matrix Estimation Via Robust Deconvolution
Shah, DevavratMIT
Song, DogyoonMIT
08:50-09:10, Paper FrA5.2 
A Geometric False Discovery Framework for Low Rank Estimation
Taeb, ArmeenCalifornia institute of technology
Shah, ParikshitMassachusetts Institute of Technology
Chandrasekaran, VenkatCalifornia Institute of Technology
09:10-09:30, Paper FrA5.3 
Statistically and Computationally Efficient Variance Estimator for Kernel Ridge Regression
Liu, MeimeiDuke University
Honorio, JeanPurdue University
Cheng, GuangPurdue University
09:30-09:50, Paper FrA5.4 
Active Distribution Learning from Indirect Samples
Gupta, SamarthCarnegie Mellon University
Joshi, GauriCarnegie Mellon University
Yagan, OsmanCarnegie Mellon University
09:50-10:10, Paper FrA5.5 
Probabilistic Clustering Using Maximal Matrix Norm Couplings
Qiu, DavidMIT
Makur, AnuranMassachusetts Institute of Technology
Zheng, LizhongMIT
FrB1 Library
Graphs: Inference and Mining Invited Session
Chair: Kiyavash, NegarUniversity of Illinois
Co-Chair: Cullina, DanielUniversity of Illinois Urbana Champaign
Organizer: Kiyavash, NegarGeorgia Institute of Technology
Organizer: Cullina, DanielUniversity of Illinois Urbana Champaign
10:30-10:50, Paper FrB1.1 
Matching Graphs with Community Structure: A Concentration of Measure Approach (I)
Shirani, FarhadTandon School of Engineering, New York University,
Garg, SiddharthNew York University
Erkip, ElzaNYU
10:50-11:10, Paper FrB1.2 
K-Core Alignment for Correlated Erdos-Renyi Graphs (I)
Cullina, DanielUniversity of Illinois Urbana Champaign
Poor, H. VincentPrinceton University
Mittal, PrateekPrinceton University
11:10-11:30, Paper FrB1.3 
Analysis of a Canonical Labeling for Matching Correlated Erdős-Rényi Graphs (I)
Dai, OsmanGeorgia Tech
Cullina, DanielUniversity of Illinois Urbana Champaign
Kiyavash, NegarGeorgia Institute of Technology
Grossglauser, MatthiasEPFL
11:30-11:50, Paper FrB1.4 
How Many Sensors to Localize the Source? the Double Metric Dimension of Random Networks (I)
Spinelli, BrunellaEPFL
Celis, L. ElisaEPFL
Thiran, PatrickEPFL
11:50-12:10, Paper FrB1.5 
Graph Matching and Graph Matchability in Edge-Independent Networks (I)
Lyzinski, VinceUniversity of Massachusetts Amherst
12:10-12:30, Paper FrB1.6 
Representation Learning-Based Graph Alignment (I)
Koutra, DanaiUniversity of Michigan, Ann Arbor
12:30-12:50, Paper FrB1.7 
Deanonymization in the Bitcoin P2P Network (I)
Fanti, GiuliaCarnegie Mellon University
FrB2 Solarium
Sequential Methods Invited Session
Chair: Veeravalli, VenuUniversity of Illinois
Co-Chair: Fellouris, GeorgiosUniversity of Illinois
Organizer: Fellouris, GeorgiosUniversity of Illinois
Organizer: Veeravalli, VenuUniversity of Illinois
10:30-10:50, Paper FrB2.1 
Minimax Optimal Sequential Tests for Multiple Hypotheses (I)
Fauss, MichaelTechnical University of Darmstadt
Zoubir, AbdlehakTechnical University of Darmstadt
Poor, H. VincentPrinceton University
10:50-11:10, Paper FrB2.2 
Quickest Search for a Change within a Window (I)
Heydari, JavadRensselaer Polytechnic Institute
Tajer, AliRensselaer Polytechnic Institute
11:10-11:30, Paper FrB2.3 
First-Order Optimal Sequential Subspace Change-Point Detection (I)
Xie, LiyanGeorgia Institute of Technology
Moustakides, GeorgeUniversity of Patras, Greece and Rutgers University, USA
Xie, YaoGeorgia Institute of Technology
11:30-11:50, Paper FrB2.4 
Sequential Design for Rank Aggregation (I)
Li, XiaoouUniversity of Minnesota
Chen, XiNew York University
Chen, YunxiaoEmory University
11:50-12:10, Paper FrB2.5 
Deep Reinforcement One-Shot Learning for Change Point Detection (I)
Puzanov, AntonBen-Gurion University of the Negev
Cohen, KobiBen-Gurion University of the Negev
12:10-12:30, Paper FrB2.6 
Scalable Robust Monitoring of High-Dimensional Profile Monitoring in the Presence of Outliers (I)
Mei, YajunGeorgia Institute of Technology
12:30-12:50, Paper FrB2.7 
Scenario Planning for Sea Level Rise Via Markov Decision Processes (I)
Shuvo, SalmanUniversity of South Florida
Yilmaz, YasinUniversity of South Florida
Bush, AlanUniversity of South Florida
Hafen, MarkUniversity of South Florida
FrB3 Butternut
Information Theory II Regular Session
Chair: Soltani, RaminUniversity of Massachusetts Amherst
10:30-10:50, Paper FrB3.1 
Rate Distortion Via Restricted Boltzmann Machines
Li, QingScaleFlux Inc
Chen, YangUniversity of Michigan
10:50-11:10, Paper FrB3.2 
Analyzing the Robustness of Deep Learning against Adversarial Examples
Zhao, JunNanyang Technological University
11:10-11:30, Paper FrB3.3 
Fundamental Limits of Covert Bit Insertion in Packets
Soltani, RaminUniversity of Massachusetts Amherst
Goeckel, DennisUniversity of Massachusetts Amherst
Towsley, DonUniversity of Massachusetts Amherst
Houmansadr, AmirUniversity of Massachusetts Amherst
11:30-11:50, Paper FrB3.4 
Improving Computational Efficiency of Communication for Omniscience and Successive Omniscience
Sadeghi, ParastooThe Australian National University
Rakotoarivelo, ThierryData61
11:50-12:10, Paper FrB3.5 
Finite-State Channel with Feedback and Causal State Information Available at the Encoder
Shemuel, EliBen Gurion University
Sabag, OronBen Gurion University
Permuter, HaimBen Gurion University
12:10-12:30, Paper FrB3.6 
Compression of Dynamic Graphs Generated by a Duplication Model
Turowski, KrzysztofCenter for the Science of Information, Purdue University
Magner, AbramCenter for the Science of Information, Purdue University
Szpankowski, WojciechPurdue University
FrB4 Pine
Channel Capacity Regular Session
Chair: Devroye, NatashaUniversity of Illinois at Chicago
10:30-10:50, Paper FrB4.1 
The Arbitrarily Varying Gaussian Relay Channel with Sender Frequency Division
Pereg, UziTechnion
Steinberg, YossefTechnion
10:50-11:10, Paper FrB4.2 
Sharp Analytical Capacity Upper Bounds for Sticky and Related Channels
Cheraghchi, MahdiImperial College London
Ribeiro, JoãoImperial College London
11:10-11:30, Paper FrB4.3 
Information Capacity of BSC and BEC Permutation Channels
Makur, AnuranMassachusetts Institute of Technology
11:30-11:50, Paper FrB4.4 
Secure Communication Over Interference Channel: To Jam or Not to Jam?
Chen, JinyuanLouisiana Tech University
11:50-12:10, Paper FrB4.5 
Computation of Feedback Capacity of Single User Multi-Antenna Stationary Gaussian Channel
Rawat, AbhishekUniversity of Minnesota, Twin Cities
Elia, NicolaUniversity of Minnesota, Twin Cities
Li, ChongNakamoto & Turing Labs, Inc
12:10-12:30, Paper FrB4.6 
The Computational Wiretap Channel
G.L. D'Oliveira, RafaelRutgers University
El Rouayheb, SalimRutgers Uiversity
Médard, MurielMIT
12:30-12:50, Paper FrB4.7 
On the Zero-Error Capacity of Channels with Rate Limited Noiseless Feedback
Asadi, MeysamUniversity of Illinoice at Chicago
Devroye, NatashaUniversity of Illinois at Chicago
FrB5 Lower Level
New Directions in Clustering Invited Session
Chair: Mazumdar, AryaUniversity of Massachusetts Amherst
Organizer: Mazumdar, AryaUniversity of Massachusetts Amherst
Organizer: Saha, BarnaUniversity of Massachusetts Amherst
Organizer: Milenkovic, OlgicaUniversity of Illinois
10:30-10:50, Paper FrB5.1 
The Geometric Block Model and Applications (I)
Galhotra, SainyamUniversity of Massachusetts Amherst
Mazumdar, AryaUniversity of Massachusetts Amherst
Pal, SoumyabrataUniversity of Massachusetts Amherst
Saha, BarnaUniversity of Massachusetts Amherst
10:50-11:10, Paper FrB5.2 
Binary Rating Estimation with Graph Side Information (I)
Ahn, KwangjunKAIST
Lee, KangwookKAIST
Cha, HyunseungKakao Brain
Suh, ChanghoKAIST
11:10-11:30, Paper FrB5.3 
Clustering - What Both Theoreticians and Practitioners Are Doing Wrong (I)
11:30-11:50, Paper FrB5.4 
Active Querying for Crowdsourced Clustering (I)
Korlakai Vinayak, RamyaUniversity of Washington
Hassibi, BabakCalifornia Institute of Technology
11:50-12:10, Paper FrB5.5 
Clustering Semi-Random Mixtures of Gaussians (I)
Awasthi, PranjalRutgers University
Vijayaraghavan, AravindanNorthwestern University
12:10-12:30, Paper FrB5.6 
Learning Mixtures of Separated Gaussians (I)
Vijayaraghavan, AravindanNorthwestern University