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ORCIDInformation Theory and Applications 2020: San Diego, CA, USA
- Information Theory and Applications Workshop, ITA 2020, San Diego, CA, USA, February 2-7, 2020. IEEE 2020, ISBN 978-1-7281-4190-9
- Avi Steiner, Shlomo Shamai Shitz:
Broadcast Approach under Information Bottleneck Capacity Uncertainty. 1-3 - Jamie Haddock, Lara Kassab, Alona Kryshchenko, Deanna Needell:
On Nonnegative CP Tensor Decomposition Robustness to Noise. 1-7 - Chao Gan, Ruida Zhou, Jing Yang, Cong Shen:
Cost-Aware Learning and Optimization for Opportunistic Spectrum Access. 1-12 - Sagnik Bhattacharya, Adrish Banerjee:
A method to find the volume of a sphere in the Lee metric, and its applications. 1-5 - Gregory H. Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell:
Active Embedding Search via Noisy Paired Comparisons. 1 - Ahmed Douik, Babak Hassibi:
Non-Negative Matrix Factorization via Low-Rank Stochastic Manifold Optimization. 1-5 - Steve Hanneke:
Learning Whenever Learning is Possible: Universal Learning under General Stochastic Processes. 1-95 - Gautam Kamath
, Or Sheffet, Vikrant Singhal, Jonathan R. Ullman:
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians. 1-62 - Kai Wan, Giuseppe Caire:
Coded Caching with Private Demands. 1-6 - Peter Grünwald, Rianne de Heide, Wouter M. Koolen:
Safe Testing. 1-54 - Mattia Lecci, Paolo Testolina, Marco Giordani, Michele Polese, Tanguy Ropitault, Camillo Gentile, Neeraj Varshney, Anuraag Bodi, Michele Zorzi:
Simplified Ray Tracing for the Millimeter Wave Channel: A Performance Evaluation. 1-6 - César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic:
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks. 1-37 - Ralf R. Müller, Bernhard Gäde, Ali Bereyhi:
Efficient Matrix Multiplication: The Sparse Power-of-2 Factorization. 1-6 - Songyang Zhang, Shuguang Cui, Zhi Ding:
Point Cloud Segmentation based on Hypergraph Spectral Clustering. 1 - Recep Can Yavas, Victoria Kostina, Michelle Effros:
Gaussian Multiple and Random Access in the Finite Blocklength Regime. 1-25 - Zehan Chao, Longxiu Huang, Deanna Needell:
Tensor Completion through Total Variation with Initialization from Weighted HOSVD. 1-8 - Abhinanda Dutta, Steven Weber:
Random access channel assignment on a collision erasure channel. 1-11 - Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis:
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks. 1-16 - Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin:
Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. 1-5 - Kasper Green Larsen, Michael Mitzenmacher, Charalampos E. Tsourakakis:
Optimal Learning of Joint Alignments with a Faulty Oracle. 1-10 - Shakiba Yaghoubi, Georgios Fainekos:
Worst-case Satisfaction of STL Specifications Using Feedforward Neural Network Controllers: A Lagrange Multipliers Approach. 1-20 - Jerry D. Gibson:
Agent Learning and Autoregressive Modeling. 1-5 - Xudong Chen:
Structure theory for ensemble controllability, observability, and duality. 1-40 - Namyoon Lee:
Massive MIMO is Very Useful for Pilot-Free Uplink Communications. 1-6 - Aditya Bhaskara, Silvio Lattanzi, Sergei Vassilvitskii, Morteza Zadimoghaddam:
Residual Based Sampling for Online Low Rank Approximation. 1-19 - Nader Beigiparast, Gokhan M. Guvensen, Ender Ayanoglu:
Spatial Correlation in Single-Carrier Massive MIMO Systems. 1-12 - Hadi Sarieddeen, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri:
Theory for Terahertz Communications. 1-28 - Yihan Zhang, Amitalok J. Budkuley, Sidharth Jaggi:
Generalized List Decoding. 51 - Chenwei Wang, Zekun Zhang, Haralabos C. Papadopoulos:
On-the-fly Uplink Training and Pilot Code Design for Massive MIMO Cellular Networks. 1-6 - Steve Hanneke, Aryeh Kontorovich, Sivan Sabato, Roi Weiss:
Universal Bayes Consistency in Metric Spaces. 1-33 - Michael Gastpar, Erixhen Sula:
Common Information Components Analysis. 1-5 - Achilleas Anastasopoulos, Sandeep Pradhan:
New perspectives on MAC feedback capacity using decentralized sequential active hypothesis testing paradigm. 1-22 - Shafi Goldwasser, Adam Tauman Kalai, Yael Tauman Kalai, Omar Montasser:
Identifying unpredictable test examples with worst-case guarantees. 1-14 - Chandra Nair:
On Marton's Achievable Region: Local Tensorization for Product Channels with a Binary Component. 1-7 - Kunping Huang, Netanel Raviv, Siddharth Jain, Pulakesh Upadhyaya, Jehoshua Bruck, Paul H. Siegel, Anxiao Andrew Jiang:
Improve Robustness of Deep Neural Networks by Coding. 1-7 - Alireza Javani, Marwen Zorgui, Zhiying Wang:
Age of Information in Multiple Sensing. 1-10 - Mohammad Nadji-Tehrani, Ali Eslami:
A Brain-Inspired Framework for Evolutionary Artificial General Intelligence. 1-18 - Rui Wang, Yi Jiang:
An Interference-Resilient Relay Beamforming Scheme Inspired by Back-Propagation Algorithm. 1-6 - Anirbit:
Research Statement. 1-7 - Hanbaek Lyu, Georg Menz, Deanna Needell, Christopher Strohmeier:
Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data. 1-9 - Seung-Shik Kang, Wonsup Jung:
Natural Language Analysis and Generation by Deep Learning and the Bias Problem. 1-31 - Elizabeth B. Torres, Simon Schafer, Fred Gage, Terry Sejnowski:
Dynamic Interrogation of Stochastic Transcriptome Trajectories (DIST2). 1 - Lav R. Varshney, Nitish Shirish Keskar, Richard Socher:
Limits of Detecting Text Generated by Large-Scale Language Models. 1-5 - Morteza Soltani, Zouheir Rezki:
New Results on The Rate-Equivocation Region of The Optical Wiretap Channel with Input-Dependent Gaussian Noise with an Average-Intensity Constraint. 1-6 - Xinmiao Zhang:
Efficient Nested Key Equation Solver Architectures for Generalized Integrated Interleaved Codes. 1-6 - Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran:
Communication-Efficient and Byzantine-Robust Distributed Learning. 1-28
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