Faculty

Institution

Unit

Venue

Jingbo Liu

Assistant Professor

University of Illinois Urbana-Champaign

Affiliations

College of Liberal Arts & Sciences

Department of Statistics

Jingbo Liu is currently serving as a College Of Liberal Arts & Sciences Assistant Professor at University of Illinois Urbana-Champaign.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Jingbo Liu

University of Illinois Urbana-Champaign

Assistant Professor

You can click a keyword to filter the displayed items

applied mathematics mathematics information theory mathematical optimization computer science convex analysis entropy statistics probability theory applied probability statistical methodology asymptotic analysis communications systems computational statistics theoretical computer science communication complexity cryptography communication security lower bounds discrete algorithms channel capacity estimation transmission information theoretic security key generation functional analysis data security numerical algorithms algorithmic information theory multi-terminal information theory channel characterization mathematical sciences spectral theory secure communication compressive sensing gaussian optimality variational inequalities variational analysis cryptographic primitives secure multi-party computation sparse representations gaussian process mathematical statistics reverse hypercontractivity secret key generation randomness rate computational imaging kolmogorov complexity convex optimization joint source-channel coding algebraic coding theory data compression signal reconstruction markov semigroups limited interaction error exponents brascamp-lieb inequality common randomness total variation total variation distance relay channel dispersion bound medical image computing biomedical imaging general systems information management diffusion-based modeling image denoising iterative decoding statistical science global analysis approximate computing optimal transport distributed source coding microlocal analysis square root concave envelopes big data model statistical software big data analytics scientific data data analytics big data storage data science big data acquisition

Notable Scholarly Works

Notable Federal Grants

Collaborators

L 1 Estimation: On the Optimality of Linear Estimators. IEEE Transactions on Information Theory (2024)

Leighton P. BarnesAlex DytsoJingbo LiuH. Vincent Poor

statistical inferencestatisticsparameter estimationstatistical methodologyestimation theoryestimation statisticstatistical modelsapplied mathematicsconvex analysismathematical optimizationapplied statisticslinear estimators

Improving the Lower Bound for the Union-Closed Sets Conjecture via Conditionally Iid Coupling. (2024)

Jingbo Liu

entropycomputational complexityinformation theorytheory of computationtheoretical computer sciencebinary sequencesapplied mathematicsmathematicslower boundsmathematical optimizationunion-closed sets conjecture

Minimax Optimality of Score-Based Diffusion Models: Beyond the Density Lower Bound Assumptions. arXiv (Cornell University) (2024)

Zhang, KaihongYin, HeqiLiang, FengLiu, Jingbo

statistical inferencestatisticsdensity estimationhigh-dimensional statisticsstatistical methodologyminimax optimalityestimation theoryasymptotic analysissample sizeapplied mathematicsmathematical statisticsmathematical optimizationapplied statisticsdiffusion modelcomputational statistics

Multivariate Priors and the Linearity of Optimal Bayesian Estimators Under Gaussian Noise. 2022 IEEE International Symposium on Information Theory (ISIT) (2024)

Leighton P. BarnesAlex DytsoJingbo LiuH. Vincent Poor

statistical inferencestatisticsstatistical methodologyestimation theorybayesian analysisgaussian processmultivariate priorsstatistical modelsapplied mathematicsbayesian inferencegaussian noiseoptimal bayesian estimators

Sampling From the Random Linear Model via Stochastic Localization Up to the Amp Threshold. arXiv (Cornell University) (2024)

Cui, HanYu, ZhiyuanLiu, Jingbo

linear inverse problemstatistical inferencestatisticsstochastic optimizationsamplinghigh-dimensional statisticsamp thresholdestimation theorybayesian analysisstochastic processnumerical algorithmsapplied mathematicsamp algorithmmonte carlo samplingmathematical optimizationinverse problemscomputational statistics

Stability of a Generalized Debiased Lasso With Applications to Resampling-Based Variable Selection. arXiv (Cornell University) (2024)

Liu, Jingbo

statistical inferencematrix analysishigh-dimensional statisticsstatistical methodologyhigh-dimensional methodasymptotic analysislasso solutiondebiased lassomatrix theorylasso coefficientsapplied mathematicsrandom matrixmathematicsmathematical optimizationnumerical linear algebracomputational statistics

$L^1$ Estimation: On the Optimality of Linear Estimators. arXiv (Cornell University) (2023)

Barnes, Leighton P.Dytso, AlexLiu, JingboPoor, H. Vincent

statistical inferencestatisticsconditional mediangaussian analysisstatistical methodologyestimation theorybayesian analysisgaussian processgaussian distributionstatistical modelsapplied mathematicsapplied statisticslinear estimators

A Few Interactions Improve Distributed Nonparametric Estimation, Optimally. IEEE Transactions on Information Theory (2023)

Jingbo Liu

statistical inferencestatisticsfew roundsstatistical methodologyestimation theorynonparametric estimationapplied probabilityinteractive minimax rateapplied mathematicslower boundsmathematical optimizationdiscrete algorithmscomputational statistics

From Soft-Minoration to Information-Constrained Optimal Transport and Spiked Tensor Models. 2022 IEEE International Symposium on Information Theory (ISIT) (2023)

Jingbo Liu

physicsintegrable probabilityhigh-dimensional statisticsmathematical statistical physicminimum mutual informationstatistical mechanicsasymptotic analysisapplied probabilitystochastic processprobability theorystatistical physicsinformation-constrained optimal transportapplied mathematicsmathematicslower boundsmathematical optimization

Stability Analysis of the Gaussian Han-Kobayashi Region for Z-Interference Channels. 2022 IEEE International Symposium on Information Theory (ISIT) (2023)

Jingbo Liu

control systemscommunications systemsstabilitysignal processingz-interference channelsgaussian optimalitychannel capacity estimationapplied mathematicsstability analysismathematicsmulti-terminal information theory

1
2
3
4
5
6
10 / page

Jingbo Liu

Assistant Professor

University of Illinois Urbana-Champaign

Affiliations

College of Liberal Arts & Sciences

Department of Statistics

Jingbo Liu is currently serving as a College Of Liberal Arts & Sciences Assistant Professor at University of Illinois Urbana-Champaign.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Jingbo Liu

University of Illinois Urbana-Champaign

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

L 1 Estimation: On the Optimality of Linear Estimators. IEEE Transactions on Information Theory (2024)

Leighton P. BarnesAlex DytsoJingbo LiuH. Vincent Poor

Improving the Lower Bound for the Union-Closed Sets Conjecture via Conditionally Iid Coupling. (2024)

Jingbo Liu

Minimax Optimality of Score-Based Diffusion Models: Beyond the Density Lower Bound Assumptions. arXiv (Cornell University) (2024)

Zhang, KaihongYin, HeqiLiang, FengLiu, Jingbo

Multivariate Priors and the Linearity of Optimal Bayesian Estimators Under Gaussian Noise. 2022 IEEE International Symposium on Information Theory (ISIT) (2024)

Leighton P. BarnesAlex DytsoJingbo LiuH. Vincent Poor

Sampling From the Random Linear Model via Stochastic Localization Up to the Amp Threshold. arXiv (Cornell University) (2024)

Cui, HanYu, ZhiyuanLiu, Jingbo

Stability of a Generalized Debiased Lasso With Applications to Resampling-Based Variable Selection. arXiv (Cornell University) (2024)

Liu, Jingbo

$L^1$ Estimation: On the Optimality of Linear Estimators. arXiv (Cornell University) (2023)

Barnes, Leighton P.Dytso, AlexLiu, JingboPoor, H. Vincent

A Few Interactions Improve Distributed Nonparametric Estimation, Optimally. IEEE Transactions on Information Theory (2023)

Jingbo Liu

From Soft-Minoration to Information-Constrained Optimal Transport and Spiked Tensor Models. 2022 IEEE International Symposium on Information Theory (ISIT) (2023)

Jingbo Liu

Stability Analysis of the Gaussian Han-Kobayashi Region for Z-Interference Channels. 2022 IEEE International Symposium on Information Theory (ISIT) (2023)

Jingbo Liu

1
2
3
4
5
6
10 / page

Similar Faculty Members

Mr Michael Nussbaum

Institution

Cornell University

quantum engineering

quantum information science

Ahmed El Alaoui

Institution

Cornell University

stochastic process

probability theory

Stanislav Minsker

Institution

University of Southern California

statistical theory

mathematical statistic

Florentina Bunea

Institution

Cornell University

mixture modeling

latent space estimation

Kengo Kato

Institution

Cornell University

econometric model

econometrics

Jonathan Niles-Weed

Institution

New York University

information theory

high-dimensional statistics

Ziv Goldfeld

Institution

Cornell University

information theory

computational thinking

Aaditya Ramdas

Institution

Carnegie Mellon University

general systems

digital image processing

Chris Tsokos

Institution

University of South Florida

reliability analysis

ecological modelling

Cosma Shalizi

Institution

Carnegie Mellon University

general systems

mathematics education

Similar Faculty Members

Mr Michael Nussbaum

Institution

Cornell University

quantum engineering

quantum information science

Ahmed El Alaoui

Institution

Cornell University

stochastic process

probability theory

Stanislav Minsker

Institution

University of Southern California

statistical theory

mathematical statistic

Florentina Bunea

Institution

Cornell University

mixture modeling

latent space estimation

Kengo Kato

Institution

Cornell University

econometric model

econometrics

Jonathan Niles-Weed

Institution

New York University

information theory

high-dimensional statistics

Ziv Goldfeld

Institution

Cornell University

information theory

computational thinking

Aaditya Ramdas

Institution

Carnegie Mellon University

general systems

digital image processing

Chris Tsokos

Institution

University of South Florida

reliability analysis

ecological modelling

Cosma Shalizi

Institution

Carnegie Mellon University

general systems

mathematics education