Yao Xie

CoRR, 2024

Posterior sampling via Langevin dynamics based on generative priors.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Cellular Network Connection Quality with Conformal.

[BibT_eX]

[DOI]

CoRR, 2024

Transformer Conformal Prediction for Time Series.

[BibT_eX]

[DOI]

Junghwan Lee

CoRR, 2024

Kernel-based optimally weighted conformal prediction intervals.

[BibT_eX]

[DOI]

Jonghyeok Lee

CoRR, 2024

Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances.

[BibT_eX]

[DOI]

March Boedihardjo

CoRR, 2024

Non-Convex Robust Hypothesis Testing using Sinkhorn Uncertainty Sets.

[BibT_eX]

[DOI]

CoRR, 2024

Conformal prediction for multi-dimensional time series by ellipsoidal sets.

[BibT_eX]

[DOI]

Hanyang Jiang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Stage-Regularized Neural Stein Critics For Testing Goodness-Of-Fit Of Generative Models.

[BibT_eX]

[DOI]

Matthew Repasky

Proceedings of the IEEE International Conference on Acoustics, 2024

A Graph-Prediction-Based Approach for Debiasing Underreported Data.

[BibT_eX]

[DOI]

Hanyang Jiang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Neural Stein Critics With Staged L 2-Regularization.

[BibT_eX]

[DOI]

Matthew Repasky

IEEE Trans. Inf. Theory, November, 2023

Conformal Prediction for Time Series.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Distribution-free multivariate time-series monitoring with analytically determined control limits.

[BibT_eX]

[DOI]

Int. J. Prod. Res., October, 2023

Window-Limited CUSUM for Sequential Change Detection.

[BibT_eX]

[DOI]

George V. Moustakides

IEEE Trans. Inf. Theory, September, 2023

Novelty detection for election fraud: A case study with agent-based simulation data.

[BibT_eX]

[DOI]

AI Mag., September, 2023

Spectral CUSUM for Online Network Structure Change Detection.

[BibT_eX]

[DOI]

Minghe Zhang

IEEE Trans. Inf. Theory, July, 2023

PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis.

[BibT_eX]

[DOI]

Technometrics, April, 2023

Sequential Change-Point Detection for Mutually Exciting Point Processes.

[BibT_eX]

[DOI]

Technometrics, January, 2023

Spatio-Temporal Wildfire Prediction Using Multi-Modal Data.

[BibT_eX]

[DOI]

Daniel A. Zuniga Vazquez

Rui Yao

Feng Qiu

IEEE J. Sel. Areas Inf. Theory, 2023

Causal Graph Discovery From Self and Mutually Exciting Time Series.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2023

Detecting algorithmic bias in medical AI-models.

[BibT_eX]

[DOI]

Jeffrey Smith

Andre L. Holder

CoRR, 2023

Mobile Internet Quality Estimation using Self-Tuning Kernel Regression.

[BibT_eX]

[DOI]

CoRR, 2023

Detecting Electricity Service Equity Issues with Transfer Counterfactual Learning on Large-Scale Outage Datasets.

[BibT_eX]

[DOI]

Sarah A. Huestis-Mitchell

Xiangrui Kong

Álinson Santos Xavier

Feng Qiu

CoRR, 2023

Deep graph kernel point processes.

[BibT_eX]

[DOI]

CoRR, 2023

Optimal transport flow and infinitesimal density ratio estimation.

[BibT_eX]

[DOI]

CoRR, 2023

Transfer Causal Learning: Causal Effect Estimation with Knowledge Transfer.

[BibT_eX]

[DOI]

CoRR, 2023

Generalized generalized linear models: Convex estimation and online bounds.

[BibT_eX]

[DOI]

CoRR, 2023

Normalizing flow neural networks by JKO scheme.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Contextual Stochastic Bilevel Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Sequential Predictive Conformal Inference for Time Series.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Spatio-temporal point processes with deep non-stationary kernels.

[BibT_eX]

[DOI]

Zheng Dong

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Training Neural Networks for Sequential Change-Point Detection.

[BibT_eX]

[DOI]

Junghwan Lee

Proceedings of the IEEE International Conference on Acoustics, 2023

Streaming Low-Rank Matrix Data Assimilation and Change Identification.

[BibT_eX]

[DOI]

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Causal Structural Learning from Time Series: A Convex Optimization Approach.

[BibT_eX]

[DOI]

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Power Grid Faults Classification via Low-Rank Tensor Modeling.

[BibT_eX]

[DOI]

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Reliable Adaptive Recoding for Batched Network Coding with Burst-Noise Channels.

[BibT_eX]

[DOI]

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Invertible Neural Networks for Graph Prediction.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, September, 2022

Tensor Kernel Recovery for Discrete Spatio-Temporal Hawkes Processes.

[BibT_eX]

[DOI]

Heejune Sheen

Xiaonan Zhu

IEEE Trans. Signal Process., 2022

Imitation Learning of Neural Spatio-Temporal Point Processes.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Spatio-Temporal Point Processes With Attention for Traffic Congestion Event Modeling.

[BibT_eX]

[DOI]

Ruyi Ding

Minghe Zhang

Pascal Van Hentenryck

IEEE Trans. Intell. Transp. Syst., 2022

In Situ Transmission Electron Microscopy: Signal processing challenges and examples.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2022

Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2022

Data-Driven Optimization for Atlanta Police-Zone Design.

[BibT_eX]

[DOI]

He Wang

INFORMS J. Appl. Anal., 2022

Invertible normalizing flow neural networks by JKO scheme.

[BibT_eX]

[DOI]

CoRR, 2022

Online Detection Of Supply Chain Network Disruptions Using Sequential Change-Point Detection for Hawkes Processes.

[BibT_eX]

[DOI]

CoRR, 2022

Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge.

[BibT_eX]

[DOI]

CoRR, 2022

Conformal prediction set for time-series.

[BibT_eX]

[DOI]

CoRR, 2022

A Manifold Two-Sample Test Study: Integral Probability Metric with Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Training neural networks using monotone variational inequality.

[BibT_eX]

[DOI]

CoRR, 2022

Police Text Analysis: Topic Modeling and Spatial Relative Density Estimation.

[BibT_eX]

[DOI]

Sarah Huestis-Mitchell

CoRR, 2022

Distributionally robust weighted k-nearest neighbors.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Sepsis Prediction Model Generalization With Optimal Transport.

[BibT_eX]

[DOI]

Ronald Moore

Proceedings of the Machine Learning for Health, 2022

A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

Neural Spectral Marked Point Processes.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

An Unsupervised Density Based Clustering Algorithm to Detect Election Anomalies : Evidence from Georgia's Largest County.

[BibT_eX]

[DOI]

Proceedings of the COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022, 2022

Online Critical-State Detection of Sepsis Among ICU Patients using Jensen-Shannon Divergence.

[BibT_eX]

[DOI]

Jeffrey Smith

Proceedings of the AMIA 2022, 2022

Online Detection of Cascading Change-Points Using Diffusion Networks.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

Two-Sample Test with Kernel Projected Wasserstein Distance.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

High-Resolution Spatio-Temporal Model for County-Level COVID-19 Activity in the U.S.

[BibT_eX]

[DOI]

ACM Trans. Manag. Inf. Syst., 2021

Goodness-of-Fit Tests on Manifolds.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2021

On Characteristic Rank for Matrix and Tensor Completion [Lecture Notes].

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2021

Testing Rank of Incomplete Unimodal Matrices.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2021

Sequential (Quickest) Change Detection: Classical Results and New Directions.

[BibT_eX]

[DOI]

Shaofeng Zou

Venugopal V. Veeravalli

IEEE J. Sel. Areas Inf. Theory, 2021

Sequential Change Detection by Optimal Weighted ℓ₂ Divergence.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2021

Editorial.

[BibT_eX]

[DOI]

Vincent Y. F. Tan

IEEE J. Sel. Areas Inf. Theory, 2021

Sinkhorn Distributionally Robust Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

Class-conditioned Domain Generalization via Wasserstein Distributional Robust Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

Neural Spectral Marked Point Processes.

[BibT_eX]

[DOI]

CoRR, 2021

Inferring Granger Causality from Irregularly Sampled Time Series.

[BibT_eX]

[DOI]

CoRR, 2021

Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data.

[BibT_eX]

[DOI]

CoRR, 2021

Kernel MMD Two-Sample Tests for Manifold Data.

[BibT_eX]

[DOI]

CoRR, 2021

Harvesting data revolution for transmission electron microscopy (TEM) using signal processing.

[BibT_eX]

[DOI]

CoRR, 2021

Data-Driven Optimization for Police Zone Design.

[BibT_eX]

[DOI]

He Wang

CoRR, 2021

Sequential change-point detection for mutually exciting point processes over networks.

[BibT_eX]

[DOI]

CoRR, 2021

Balanced Districting on Grid Graphs with Provable Compactness and Contiguity.

[BibT_eX]

[DOI]

CoRR, 2021

Neural Tangent Kernel Maximum Mean Discrepancy.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Optimality of Graph Scanning Statistic for Online Community Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

Two-sample Test using Projected Wasserstein Distance.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

Conformal prediction interval for dynamic time-series.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Inferring serial correlation with dynamic backgrounds.

[BibT_eX]

[DOI]

Dobromir Rahnev

Proceedings of the 38th International Conference on Machine Learning, 2021

Sequential Adversarial Anomaly Detection with Deep Fourier Kernel.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Deep Fourier Kernel for Self-Attentive Point Processes.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Goodness-of-Fit Test for Mismatched Self-Exciting Processes.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Causal Graph and Social Network Analysis for the Spread of COVID-19 from Self-reported Indicator Data.

[BibT_eX]

[DOI]

Shaoou Chen

Shihao Yang

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Approximation Algorithms for Training One-Node ReLU Neural Networks.

[BibT_eX]

[DOI]

Santanu S. Dey

Guanyi Wang

IEEE Trans. Signal Process., 2020

Convex Parameter Recovery for Interacting Marked Processes.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2020

Two-sample Test using Projected Wasserstein Distance: Breaking the Curse of Dimensionality.

[BibT_eX]

[DOI]

CoRR, 2020

Goodness-of-Fit Test for Self-Exciting Processes.

[BibT_eX]

[DOI]

CoRR, 2020

Distributionally Robust $k$-Nearest Neighbors for Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Convex Recovery of Marked Spatio-Temporal Point Processes.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Attention Spatio-Temporal Point Processes.

[BibT_eX]

[DOI]

CoRR, 2020

Uncertainty Quantification for Inferring Hawkes Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Temporal Logic Point Processes.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Adversarial Anomaly Detection for Marked Spatio-Temporal Streaming Data.

[BibT_eX]

[DOI]

Henry Shaowu Yuchi

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Online Community Detection by Spectral Cusum.

[BibT_eX]

[DOI]

Minghe Zhang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Sequential Vessel Trajectory Identification Using Truncated Viterbi Algorithm.

[BibT_eX]

[DOI]

Zheng Dong

Yifei Yang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Matrix Completion With Deterministic Pattern: A Geometric Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Sketching for sequential change-point detection.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2019

Quickest detection of cascading failure.

[BibT_eX]

[DOI]

CoRR, 2019

Reinforcement Learning of Spatio-Temporal Point Processes.

[BibT_eX]

[DOI]

Shuang Li

CoRR, 2019

Crime Linkage Detection by Spatio-Temporal-Textual Point Processes.

[BibT_eX]

[DOI]

CoRR, 2019

Asynchronous Multi-Sensor Change-Point Detection for Seismic Tremors.

[BibT_eX]

[DOI]

George V. Moustakides

Proceedings of the IEEE International Symposium on Information Theory, 2019

Crime Event Embedding with Unsupervised Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Statistical Rank Selection for Incomplete Low-rank Matrices.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Learning Transformation Synchronization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Low-Rank Matrix Completion for Distributed Ambient Noise Imaging Systems.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Maximum Entropy Low-Rank Matrix Recovery.

[BibT_eX]

[DOI]

Simon Mak

IEEE J. Sel. Top. Signal Process., 2018

Sequential Change-Point Detection via Online Convex Optimization.

[BibT_eX]

[DOI]

Entropy, 2018

On the effect of model mismatch for sequential Info-Greedy Sensing.

[BibT_eX]

[DOI]

Ruiyang Song

EURASIP J. Adv. Signal Process., 2018

Nearly Optimal Adaptive Procedure for Piecewise-Stationary Bandit: a Change-Point Detection Approach.

[BibT_eX]

[DOI]

CoRR, 2018

Multi-sensor slope change detection.

[BibT_eX]

[DOI]

Nagi Gebraeel

Ann. Oper. Res., 2018

Robust Hypothesis Testing Using Wasserstein Uncertainty Sets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Temporal Point Processes via Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Crime Incidents Embedding Using Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Sequential Adaptive Detection for In-Situ Transmission Electron Microscopy (TEM).

[BibT_eX]

[DOI]

Christopher M. Rouleau

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

First-Order Optimal Sequential Subspace Change-Point Detection.

[BibT_eX]

[DOI]

George V. Moustakides

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Nearly second-order optimality of online joint detection and estimation via one-sample update schemes.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Communication Efficient Signal Detection for Distributed Ambient Noise Imaging.

[BibT_eX]

[DOI]

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Sequential Graph Scanning Statistic for Change-point Detection.

[BibT_eX]

[DOI]

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Detecting Changes in Dynamic Events Over Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2017

Near-optimality of sequential joint detection and estimation via online mirror descent.

[BibT_eX]

[DOI]

Huan Xu

CoRR, 2017

Real-Time Ambient Noise Subsurface Imaging in Distributed Sensor Networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Smart Computing, 2017

Robust sequential change-point detection by convex optimization.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

PMU-based online change-point detection of imbalance in three-phase power systems.

[BibT_eX]

[DOI]

Tirza Routtenberg

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

Sequential detection of low-rank changes using extreme eigenvalues.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Poisson Matrix Recovery and Completion.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Data-Driven Threshold Machine: Scan Statistics, Change-Point Detection, and Extreme Bandits.

[BibT_eX]

[DOI]

Shuang Li

Le Song

CoRR, 2016

Detecting weak changes in dynamic events over networks.

[BibT_eX]

[DOI]

CoRR, 2016

Robust adaptive beamforming based on DOA support using decomposed coprime subarrays.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Sequential low-rank change detection.

[BibT_eX]

[DOI]

Lee M. Seversky

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Online seismic event picking via sequential change-point detection.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Dynamic change-point detection using similarity networks.

[BibT_eX]

[DOI]

Shanshan Cao

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Sequential Changepoint Approach for Online Community Detection.

[BibT_eX]

[DOI]

David Marangoni-Simonsen

IEEE Signal Process. Lett., 2015

Info-Greedy Sequential Adaptive Compressed Sensing.

[BibT_eX]

[DOI]

Gábor Braun

IEEE J. Sel. Top. Signal Process., 2015

System Informatics: From Methodology to Applications.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2015

Online Supervised Subspace Tracking.

[BibT_eX]

[DOI]

CoRR, 2015

Sequential Information Guided Sensing.

[BibT_eX]

[DOI]

Ruiyang Song

CoRR, 2015

M-Statistic for Kernel Change-Point Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Sequential sensing with model mismatch.

[BibT_eX]

[DOI]

Ruiyang Song

Proceedings of the IEEE International Symposium on Information Theory, 2015

Poisson matrix completion.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2015

Sketching for sequential change-point detection.

[BibT_eX]

[DOI]

Meng Wang

Andrew Thompson

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Categorical matrix completion.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Multi-sensor gradual change detection.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014

Low-rank matrix recovery in poisson noise.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013

Reduced-Dimension Multiuser Detection.

[BibT_eX]

[DOI]

Yonina C. Eldar

Andrea Goldsmith

IEEE Trans. Inf. Theory, 2013

Change-Point Detection for High-Dimensional Time Series With Missing Data.

[BibT_eX]

[DOI]

Jiaji Huang

IEEE J. Sel. Top. Signal Process., 2013

Compressive Demodulation of Mutually Interfering Signals

[BibT_eX]

[DOI]

Yuejie Chi

A. Robert Calderbank

CoRR, 2013

Finding Zeros: Greedy Detection of Holes

[BibT_eX]

[DOI]

CoRR, 2013

On group coherence of frames.

[BibT_eX]

[DOI]

Andrew Thompson

A. Robert Calderbank

CoRR, 2013

Online logistic regression on manifolds.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Low-rank matrix recovery with poison noise.

[BibT_eX]

[DOI]

Yuejie Chi

A. Robert Calderbank

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012

Changepoint detection for high-dimensional time series with missing data

[BibT_eX]

[DOI]

Jiaji Huang

CoRR, 2012

Multiscale online tracking of manifolds.

[BibT_eX]

[DOI]

Jiaji Huang

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Compressive demodulation of mutually interfering signals.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

2011

Reduced-dimension multiuser detection: detectors and performance guarantees

[BibT_eX]

[DOI]

Yonina C. Eldar

Andrea J. Goldsmith

CoRR, 2011

The Diversity-Multiplexing-Delay Tradeoff in MIMO Multihop Networks with ARQ

[BibT_eX]

[DOI]

Deniz Gündüz

Andrea J. Goldsmith

CoRR, 2011

2010

Dynamic spectrum management with the competitive market model.

[BibT_eX]

[DOI]

Benjamin Armbruster

Yinyu Ye

IEEE Trans. Signal Process., 2010

Diversity-multiplexing-delay tradeoffs in MIMO multihop networks with ARQ.

[BibT_eX]

[DOI]

Andrea Goldsmith

Proceedings of the IEEE International Symposium on Information Theory, 2010

2009

Multihop MIMO Relay Networks with ARQ.

[BibT_eX]

[DOI]

Deniz Gündüz

Andrea J. Goldsmith

Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

2008

Adaptive and Robust Methods of Reconstruction (ARMOR) for Thermoacoustic Tomography.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2008

2007

MIMO Transmit Beamforming Under Uniform Elemental Power Constraint.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2007

On Probing Signal Design For MIMO Radar.

[BibT_eX]

[DOI]

Petre Stoica

Jian Li