Gautam Dasarathy

Karthikeyan Natesan Ramamurthy

Prad Kadambi

Pouria Saidi

Trans. Mach. Learn. Res., 2024

Orthogonality and graph divergence losses promote disentanglement in generative models.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2024

Structure Learning in Gaussian Graphical Models from Glauber Dynamics.

[BibT_eX]

[DOI]

Vignesh Tirukkonda

Anirudh Rayas

CoRR, 2024

Learning Networks from Wide-Sense Stationary Stochastic Processes.

[BibT_eX]

[DOI]

CoRR, 2024

Communication-Efficient Federated Learning over Wireless Channels via Gradient Sketching.

[BibT_eX]

[DOI]

Vineet Sunil Gattani

Junshan Zhang

CoRR, 2024

Unraveling overoptimism and publication bias in ML-driven science.

[BibT_eX]

[DOI]

Pouria Saidi

CoRR, 2024

On Characterizations of Potential and Ordinal Potential Games.

[BibT_eX]

[DOI]

Sina Arefizadeh

Angelia Nedich

CoRR, 2024

ClassBO: Bayesian Optimization for Heterogeneous Functions.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization - 18th International Conference, 2024

Rapid Change Localization in Dynamic Graphical Models.

[BibT_eX]

[DOI]

Abrar Zahin

Proceedings of the IEEE International Conference on Acoustics, 2024

Non-Stationary Bandits with Periodic Behavior: Harnessing Ramanujan Periodicity Transforms to Conquer Time-Varying Challenges.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Class GP: Gaussian Process Modeling for Heterogeneous Functions.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023

Differential Analysis for Networks Obeying Conservation Laws.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2022

State and Topology Estimation for Unobservable Distribution Systems Using Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2022

A Graph-Based Approach to Boundary Estimation With Mobile Sensors.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Grid Topology Identification With Hidden Nodes via Structured Norm Minimization.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2022

Robust Model Selection of Non Tree-Structured Gaussian Graphical Models.

[BibT_eX]

[DOI]

CoRR, 2022

Controllability of Coarsely Measured Networked Linear Dynamical Systems (Extended Version).

[BibT_eX]

[DOI]

CoRR, 2022

A Machine Learning Framework for Event Identification via Modal Analysis of PMU Data.

[BibT_eX]

[DOI]

CoRR, 2022

A label efficient two-sample test.

[BibT_eX]

[DOI]

Karthikeyan Natesan Ramamurthy

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Maximizing and Satisficing in Multi-armed Bandits with Graph Information.

[BibT_eX]

[DOI]

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

Learning the Structure of Large Networked Systems Obeying Conservation Laws.

[BibT_eX]

[DOI]

Anirudh Rayas

Rajasekhar Anguluri

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

2021

A Multisensory Approach to Present Phonemes as Language Through a Wearable Haptic Device.

[BibT_eX]

[DOI]

IEEE Trans. Haptics, 2021

Digital medicine and the curse of dimensionality.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2021

Pure Exploration in Multi-armed Bandits with Graph Side Information.

[BibT_eX]

[DOI]

CoRR, 2021

State and Topology Estimation for Unobservable Distribution Systems using Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Bayesian Optimization in High-Dimensional Spaces: A Brief Survey.

[BibT_eX]

[DOI]

Mohit Malu

Andreas Spanias

Proceedings of the 12th International Conference on Information, 2021

Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model.

[BibT_eX]

[DOI]

Nafiseh Ghoroghchian

Stark C. Draper

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

2020

On the alpha-loss Landscape in the Logistic Model.

[BibT_eX]

[DOI]

CoRR, 2020

Finding the Homology of Decision Boundaries with Active Learning.

[BibT_eX]

[DOI]

Karthikeyan Natesan Ramamurthy

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

On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems.

[BibT_eX]

[DOI]

Parth K. Thaker

Angelia Nedic

Proceedings of the IEEE International Symposium on Information Theory, 2020

On the α-loss Landscape in the Logistic Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2020

Differentiable Programming for Hyperspectral Unmixing Using a Physics-Based Dispersion Model.

[BibT_eX]

[DOI]

John Janiczek

Parth Thaker

Christopher S. Edwards

Philip Christensen

Suren Jayasuriya

Proceedings of the Computer Vision - ECCV 2020, 2020

Regularization via Structural Label Smoothing.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Thresholding Graph Bandits with GrAPL.

[BibT_eX]

[DOI]

Daniel LeJeune

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Multi-fidelity Gaussian Process Bandit Optimisation.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2019

A Tunable Loss Function for Classification.

[BibT_eX]

[DOI]

CoRR, 2019

Gaussian Graphical Model Selection from Size Constrained Measurements.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery.

[BibT_eX]

[DOI]

Ali Mousavi

Proceedings of the 7th International Conference on Learning Representations, 2019

Distance-Penalized Active Learning via Markov Decision Processes.

[BibT_eX]

[DOI]

Dingyu Wang

John Lipor

Proceedings of the IEEE Data Science Workshop, 2019

IdeoTrace: a framework for ideology tracing with a case study on the 2016 U.S. presidential election.

[BibT_eX]

[DOI]

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

MISSION: Ultra Large-Scale Feature Selection using Count-Sketches.

[BibT_eX]

[DOI]

Anshumali Shrivastava

Proceedings of the 35th International Conference on Machine Learning, 2018

Conveying language through haptics: a multi-sensory approach.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018

Quantile Search with Time-Varying Search Parameter.

[BibT_eX]

[DOI]

John Lipor

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

2017

Coalescent-based species tree estimation: a stochastic Farris transform.

[BibT_eX]

[DOI]

CoRR, 2017

Sketched covariance testing: A compression-statistics tradeoff.

[BibT_eX]

[DOI]

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

Multi-fidelity Bayesian Optimisation with Continuous Approximations.

[BibT_eX]

[DOI]

Jeff G. Schneider

Barnabás Póczos

Proceedings of the 34th International Conference on Machine Learning, 2017

DeepCodec: Adaptive sensing and recovery via deep convolutional neural networks.

[BibT_eX]

[DOI]

Ali Mousavi

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

The Multi-fidelity Multi-armed Bandit.

[BibT_eX]

[DOI]

Barnabás Póczos

Jeff G. Schneider

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Active Learning Algorithms for Graphical Model Selection.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Sketching Sparse Matrices, Covariances, and Graphs via Tensor Products.

[BibT_eX]

[DOI]

Badri Narayan Bhaskar

IEEE Trans. Inf. Theory, 2015

Data Requirement for Phylogenetic Inference from Multiple Loci: A New Distance Method.

[BibT_eX]

[DOI]

Sébastien Roch

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification.

[BibT_eX]

[DOI]

Xiaojin Zhu

Proceedings of The 28th Conference on Learning Theory, 2015

2014

New sample complexity bounds for phylogenetic inference from multiple loci.

[BibT_eX]

[DOI]

Sébastien Roch

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013

Sketching Sparse Matrices

[BibT_eX]

[DOI]

Badri Narayan Bhaskar

CoRR, 2013

2012

Efficient Network Tomography for Internet Topology Discovery.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2012

Covariance sketching.

[BibT_eX]

[DOI]

Badri Narayan Bhaskar

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011

Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

On reliability of content identification from databases based on noisy queries.

[BibT_eX]

[DOI]