Adel Javanmard

Orcid: 0000-0003-1934-8747

Affiliations:
  • University of Southern California, Department of Data Science and Operations Research, Los Angeles, CA USA
  • Stanford University, CA, USA (PhD 2014)


According to our database1, Adel Javanmard authored at least 55 papers between 2008 and 2024.

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Bibliography

2024
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses.
CoRR, 2024

Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions.
CoRR, 2024

2023
Measuring Re-identification Risk.
Proc. ACM Manag. Data, 2023

Causal Inference with Differentially Private (Clustered) Outcomes.
CoRR, 2023

Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model.
CoRR, 2023

Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Rate Schedules in the Presence of Distribution Shift.
Proceedings of the International Conference on Machine Learning, 2023

2022
GRASP: A Goodness-of-Fit Test for Classification Learning.
CoRR, 2022

The curse of overparametrization in adversarial training: Precise analysis of robust generalization for random features regression.
CoRR, 2022

2021
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions.
Oper. Res., 2021

Adversarial robustness for latent models: Revisiting the robust-standard accuracies tradeoff.
CoRR, 2021

Controlling the False Split Rate in Tree-Based Aggregation.
CoRR, 2021

Fundamental Tradeoffs in Distributionally Adversarial Training.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning.
J. Mach. Learn. Res., 2020

Precise Statistical Analysis of Classification Accuracies for Adversarial Training.
CoRR, 2020

Multi-Product Dynamic Pricing in High-Dimensions with Heterogeneous Price Sensitivity.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Precise Tradeoffs in Adversarial Training for Linear Regression.
Proceedings of the Conference on Learning Theory, 2020

2019
Theoretical Insights Into the Optimization Landscape of Over-Parameterized Shallow Neural Networks.
IEEE Trans. Inf. Theory, 2019

Dynamic Pricing in High-dimensions.
J. Mach. Learn. Res., 2019

Online Debiasing for Adaptively Collected High-dimensional Data.
CoRR, 2019

New Computational and Statistical Aspects of Regularized Regression with Application to Rare Feature Selection and Aggregation.
CoRR, 2019

Analysis of a Two-Layer Neural Network via Displacement Convexity.
CoRR, 2019

Multi-Product Dynamic Pricing in High-Dimensions with Heterogenous Price Sensitivity.
CoRR, 2019

onlineFDR: an R package to control the false discovery rate for growing data repositories.
Bioinform., 2019

2018
False Discovery Rate Control via Debiased Lasso.
CoRR, 2018

2017
Perishability of Data: Dynamic Pricing under Varying-Coefficient Models.
J. Mach. Learn. Res., 2017

A Flexible Framework for Hypothesis Testing in High-dimensions.
CoRR, 2017

Novel probabilistic models of spatial genetic ancestry with applications to stratification correction in genome-wide association studies.
Bioinform., 2017

2016
Performance of a community detection algorithm based on semidefinite programming.
CoRR, 2016

Online Rules for Control of False Discovery Rate and False Discovery Exceedance.
CoRR, 2016

2015
Phase Transitions in Semidefinite Relaxations.
CoRR, 2015

On Online Control of False Discovery Rate.
CoRR, 2015

Nowhere-zero Unoriented Flows in Hamiltonian Graphs.
Ars Comb., 2015

1-bit matrix completion under exact low-rank constraint.
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

2014
Hypothesis Testing in High-Dimensional Regression Under the Gaussian Random Design Model: Asymptotic Theory.
IEEE Trans. Inf. Theory, 2014

Confidence intervals and hypothesis testing for high-dimensional regression.
J. Mach. Learn. Res., 2014

2013
Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing.
IEEE Trans. Inf. Theory, 2013

Localization from Incomplete Noisy Distance Measurements.
Found. Comput. Math., 2013

Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Learning Linear Bayesian Networks with Latent Variables.
Proceedings of the 30th International Conference on Machine Learning, 2013

Nearly optimal sample size in hypothesis testing for high-dimensional regression.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
State Evolution for General Approximate Message Passing Algorithms, with Applications to Spatial Coupling
CoRR, 2012

Versatile refresh: low complexity refresh scheduling for high-throughput multi-banked eDRAM.
Proceedings of the ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2012

Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Poster: multi-track map matching.
Proceedings of the 10th International Conference on Mobile Systems, 2012

The minimax risk of truncated series estimators for symmetric convex polytopes.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Subsampling at information theoretically optimal rates.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Multi-track map matching.
Proceedings of the SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), 2012

2011
Analysis of DCTCP: stability, convergence, and fairness.
Proceedings of the SIGMETRICS 2011, 2011

Robust max-product belief propagation.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Zero-Sum Flows in Regular Graphs.
Graphs Comb., 2010

2009
Mobility Modeling, Spatial Traffic Distribution, and Probability of Connectivity for Sparse and Dense Vehicular Ad Hoc Networks.
IEEE Trans. Veh. Technol., 2009

Analytical evaluation of average delay and maximum stable throughput along a typical two-way street for vehicular ad hoc networks in sparse situations.
Comput. Commun., 2009

2008
Estimating the mixing matrix in underdetermined Sparse Component Analysis (SCA) using consecutive independent component analysis (ICA).
Proceedings of the 2008 16th European Signal Processing Conference, 2008


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