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ORCIDIEEE Journal on Selected Areas in Information Theory, Volume 1
Volume 1, Number 1, May 2020
- Andrea J. Goldsmith
:
Welcome to the IEEE Journal on Selected Areas in Information Theory (JSAIT). 3 - Richard G. Baraniuk, Alex Dimakis, Negar Kiyavash, Sewoong Oh, Rebecca Willett:
Guest Editorial. 4 - Hyeji Kim, Sewoong Oh, Pramod Viswanath:
Physical Layer Communication via Deep Learning. 5-18 - Ziv Goldfeld, Yury Polyanskiy:
The Information Bottleneck Problem and its Applications in Machine Learning. 19-38 - Gregory Ongie, Ajil Jalal, Christopher A. Metzler, Richard G. Baraniuk, Alexandros G. Dimakis, Rebecca Willett:
Deep Learning Techniques for Inverse Problems in Imaging. 39-56 - Nadav Dym, Barak Sober, Ingrid Daubechies:
Expression of Fractals Through Neural Network Functions. 57-66 - Vidya Muthukumar, Kailas Vodrahalli, Vignesh Subramanian, Anant Sahai:
Harmless Interpolation of Noisy Data in Regression. 67-83 - Samet Oymak, Mahdi Soltanolkotabi:
Toward Moderate Overparameterization: Global Convergence Guarantees for Training Shallow Neural Networks. 84-105 - Christopher Snyder, Sriram Vishwanath:
Sample Compression, Support Vectors, and Generalization in Deep Learning. 106-120 - Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli:
Tightening Mutual Information-Based Bounds on Generalization Error. 121-130 - Ankit Pensia, Varun S. Jog, Po-Ling Loh:
Extracting Robust and Accurate Features via a Robust Information Bottleneck. 131-144 - Farzan Farnia, Jesse M. Zhang, David N. C. Tse:
A Fourier-Based Approach to Generalization and Optimization in Deep Learning. 145-156 - Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng:
An Information-Theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data. 157-166 - Mina Karzand, Robert D. Nowak:
MaxiMin Active Learning in Overparameterized Model Classes. 167-177 - David Burth Kurka, Deniz Gündüz:
DeepJSCC-f: Deep Joint Source-Channel Coding of Images With Feedback. 178-193 - Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Deepcode: Feedback Codes via Deep Learning. 194-206 - Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks. 207-216 - Debraj Basu, Deepesh Data, Can Karakus, Suhas N. Diggavi:
Qsparse-Local-SGD: Distributed SGD With Quantization, Sparsification, and Local Computations. 217-226 - Jack Kosaian, K. V. Rashmi, Shivaram Venkataraman:
Learning-Based Coded Computation. 227-236 - Osama A. Hanna, Yahya H. Ezzeldin, Tara Sadjadpour, Christina Fragouli, Suhas N. Diggavi:
On Distributed Quantization for Classification. 237-249 - Avhishek Chatterjee, Lav R. Varshney:
Energy-Reliability Limits in Nanoscale Feedforward Neural Networks and Formulas. 250-266 - Kunping Huang, Paul H. Siegel, Anxiao Jiang:
Functional Error Correction for Robust Neural Networks. 267-276 - Rawad Bitar, Mary Wootters, Salim El Rouayheb:
Stochastic Gradient Coding for Straggler Mitigation in Distributed Learning. 277-291 - Zhaoqiang Liu, Jonathan Scarlett:
Information-Theoretic Lower Bounds for Compressive Sensing With Generative Models. 292-303 - Soheil Feizi, Farzan Farnia, Tony Ginart, David Tse:
Understanding GANs in the LQG Setting: Formulation, Generalization and Stability. 304-311 - Pei Peng, Shirin Jalali, Xin Yuan:
Solving Inverse Problems via Auto-Encoders. 312-323 - Zinan Lin, Ashish Khetan, Giulia Fanti, Sewoong Oh:
PacGAN: The Power of Two Samples in Generative Adversarial Networks. 324-335 - Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher:
Inference With Deep Generative Priors in High Dimensions. 336-347 - Deep Learning: Mathematical Foundations and Applications to Information Science. 348
Volume 1, Number 2, August 2020
- Emina Soljanin, Andreas J. Winter:
Introduction to the Special Issue on Quantum Information Science. 350 - Emina Soljanin:
Quantum Information Processing: An Essential Primer. 351-366 - Marcin Jarzyna, Jan Kolodynski:
Geometric Approach to Quantum Statistical Inference. 367-386 - Yuxiang Yang, Giulio Chiribella, Masahito Hayashi:
Communication Cost of Quantum Processes. 387-400 - Janis Noetzel:
Entanglement-Enabled Communication. 401-415 - Dina Abdelhadi, Joseph M. Renes:
On the Second-Order Asymptotics of the Partially Smoothed Conditional Min-Entropy & Application to Quantum Compression. 416-423 - Sander Gribling, Yinan Li:
The Haemers Bound of Noncommutative Graphs. 424-431 - Prabha Mandayam, Krishna P. Jagannathan, Avhishek Chatterjee:
The Classical Capacity of Additive Quantum Queue-Channels. 432-444 - Berry Groisman, Michael Mc Gettrick, Mehdi Mhalla, Marcin Pawlowski:
How Quantum Information Can Improve Social Welfare. 445-453 - Jayadev Acharya, Ibrahim Issa, Nirmal V. Shende, Aaron B. Wagner:
Estimating Quantum Entropy. 454-468 - Stefano Guerrini, Moe Z. Win, Marco Chiani, Andrea Conti:
Quantum Discrimination of Noisy Photon-Added Coherent States. 469-479 - Marco Chiani, Lorenzo Valentini:
Short Codes for Quantum Channels With One Prevalent Pauli Error Type. 480-486 - Kao-Yueh Kuo, Ching-Yi Lai:
Refined Belief Propagation Decoding of Sparse-Graph Quantum Codes. 487-498 - Narayanan Rengaswamy, A. Robert Calderbank, Michael Newman, Henry D. Pfister:
On Optimality of CSS Codes for Transversal T. 499-514 - Yaroslav Koshka, Mark A. Novotny:
Comparison of D-Wave Quantum Annealing and Classical Simulated Annealing for Local Minima Determination. 515-525 - Arkin Tikku, Mario Berta, Joseph M. Renes:
Non-Additivity in Classical-Quantum Wiretap Channels. 526-535 - Norbert Lütkenhaus, Ashutosh Marwah, Dave Touchette:
Erasable Bit Commitment From Temporary Quantum Trust. 536-554 - Christos N. Gagatsos, Michael S. Bullock, Boulat A. Bash:
Covert Capacity of Bosonic Channels. 555-567 - Max Kessler, Rotem Arnon Friedman:
Device-Independent Randomness Amplification and Privatization. 568-584 - Mehrdad Tahmasbi, Matthieu R. Bloch:
Toward Undetectable Quantum Key Distribution Over Bosonic Channels. 585-598 - Matteo Allaix, Lukas Holzbaur, Tefjol Pllaha, Camilla Hollanti:
Quantum Private Information Retrieval From Coded and Colluding Servers. 599-610
Volume 1, Number 3, November 2020
- Devavrat Shah, Guy Bresler, John C. Duchi, Po-Ling Loh, Yihong Wu, Christina Lee Yu:
Editorial. 612 - Jeonghwan Lee, Daesung Kim, Hye Won Chung:
Robust Hypergraph Clustering via Convex Relaxation of Truncated MLE. 613-631 - Morteza Ashraphijuo, Xiaodong Wang:
Structured Alternating Minimization for Union of Nested Low-Rank Subspaces Data Completion. 632-644 - Leighton Pate Barnes, Wei-Ning Chen, Ayfer Özgür:
Fisher Information Under Local Differential Privacy. 645-659 - Srivatsan Sridhar, Mert Pilanci, Ayfer Özgür:
Lower Bounds and a Near-Optimal Shrinkage Estimator for Least Squares Using Random Projections. 660-668 - Lan V. Truong, Matthew Aldridge, Jonathan Scarlett:
On the All-or-Nothing Behavior of Bernoulli Group Testing. 669-680 - Sadaf Salehkalaibar, Michèle A. Wigger:
Distributed Hypothesis Testing With Variable-Length Coding. 681-694 - Hong Hu, Yue M. Lu:
The Limiting Poisson Law of Massive MIMO Detection With Box Relaxation. 695-704 - Clément Luneau, Nicolas Macris:
Tensor Estimation With Structured Priors. 705-722 - Praneeth Narayanamurthy, Namrata Vaswani:
Fast Robust Subspace Tracking via PCA in Sparse Data-Dependent Noise. 723-744 - Antonious M. Girgis, Deepesh Data, Kamalika Chaudhuri, Christina Fragouli, Suhas N. Diggavi:
Successive Refinement of Privacy. 745-759 - Anshoo Tandon, Vincent Y. F. Tan, Shiyao Zhu:
Exact Asymptotics for Learning Tree-Structured Graphical Models With Side Information: Noiseless and Noisy Samples. 760-776 - Galen Reeves:
Information-Theoretic Limits for the Matrix Tensor Product. 777-798 - Anatoli B. Juditsky, Arkadi Nemirovski, Liyan Xie, Yao Xie:
Convex Parameter Recovery for Interacting Marked Processes. 799-813 - Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Minimax Estimation of Divergences Between Discrete Distributions. 814-823 - Fredrik Hellström, Giuseppe Durisi:
Generalization Bounds via Information Density and Conditional Information Density. 824-839 - Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee, Gauri Joshi, Osman Yagan:
A Unified Approach to Translate Classical Bandit Algorithms to the Structured Bandit Setting. 840-853 - Min-Oh Jeong, Alex Dytso, Martina Cardone, H. Vincent Poor:
Recovering Data Permutations From Noisy Observations: The Linear Regime. 854-869 - Surin Ahn, Ayfer Özgür, Mert Pilanci:
Global Multiclass Classification and Dataset Construction via Heterogeneous Local Experts. 870-883 - Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher:
Generalized Autoregressive Linear Models for Discrete High-Dimensional Data. 884-896 - Leighton Pate Barnes, Huseyin A. Inan, Berivan Isik, Ayfer Özgür:
rTop-k: A Statistical Estimation Approach to Distributed SGD. 897-907 - Qingyang Liu, Yuping Zhang:
Fast Variational Inference for Joint Mixed Sparse Graphical Models. 908-913 - Lama B. Niyazi, Abla Kammoun, Hayssam Dahrouj, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri:
Asymptotic Analysis of an Ensemble of Randomly Projected Linear Discriminants. 914-930
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