Gautam Dasarathy

Orcid: 0000-0003-2252-2988

According to our database1, Gautam Dasarathy authored at least 52 papers between 2010 and 2023.

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Bibliography

2023
Active Sequential Two-Sample Testing.
CoRR, 2023

Class GP: Gaussian Process Modeling for Heterogeneous Functions.
Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023

Differential Analysis for Networks Obeying Conservation Laws.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization.
IEEE Trans. Inf. Theory, 2022

State and Topology Estimation for Unobservable Distribution Systems Using Deep Neural Networks.
IEEE Trans. Instrum. Meas., 2022

A Graph-Based Approach to Boundary Estimation With Mobile Sensors.
IEEE Robotics Autom. Lett., 2022

Grid Topology Identification With Hidden Nodes via Structured Norm Minimization.
IEEE Control. Syst. Lett., 2022

Robust Model Selection of Non Tree-Structured Gaussian Graphical Models.
CoRR, 2022

Controllability of Coarsely Measured Networked Linear Dynamical Systems (Extended Version).
CoRR, 2022

A Machine Learning Framework for Event Identification via Modal Analysis of PMU Data.
CoRR, 2022

A label efficient two-sample test.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Maximizing and Satisficing in Multi-armed Bandits with Graph Information.
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.
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.
IEEE Trans. Haptics, 2021

Digital medicine and the curse of dimensionality.
npj Digit. Medicine, 2021

Pure Exploration in Multi-armed Bandits with Graph Side Information.
CoRR, 2021

State and Topology Estimation for Unobservable Distribution Systems using Deep Neural Networks.
CoRR, 2021

Bayesian Optimization in High-Dimensional Spaces: A Brief Survey.
Proceedings of the 12th International Conference on Information, 2021

Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
On the alpha-loss Landscape in the Logistic Model.
CoRR, 2020

Finding the Homology of Decision Boundaries with Active Learning.
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.
Proceedings of the IEEE International Symposium on Information Theory, 2020

On the α-loss Landscape in the Logistic Model.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Differentiable Programming for Hyperspectral Unmixing Using a Physics-Based Dispersion Model.
Proceedings of the Computer Vision - ECCV 2020, 2020

Regularization via Structural Label Smoothing.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Thresholding Graph Bandits with GrAPL.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Multi-fidelity Gaussian Process Bandit Optimisation.
J. Artif. Intell. Res., 2019

A Tunable Loss Function for Classification.
CoRR, 2019

Gaussian Graphical Model Selection from Size Constrained Measurements.
Proceedings of the IEEE International Symposium on Information Theory, 2019

A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery.
Proceedings of the 7th International Conference on Learning Representations, 2019

Distance-Penalized Active Learning via Markov Decision Processes.
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.
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.
Proceedings of the 35th International Conference on Machine Learning, 2018

Conveying language through haptics: a multi-sensory approach.
Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018

Quantile Search with Time-Varying Search Parameter.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Coalescent-based species tree estimation: a stochastic Farris transform.
CoRR, 2017

Sketched covariance testing: A compression-statistics tradeoff.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Multi-fidelity Bayesian Optimisation with Continuous Approximations.
Proceedings of the 34th International Conference on Machine Learning, 2017

DeepCodec: Adaptive sensing and recovery via deep convolutional neural networks.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
The Multi-fidelity Multi-armed Bandit.
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.
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.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Sketching Sparse Matrices, Covariances, and Graphs via Tensor Products.
IEEE Trans. Inf. Theory, 2015

Data Requirement for Phylogenetic Inference from Multiple Loci: A New Distance Method.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification.
Proceedings of The 28th Conference on Learning Theory, 2015

2014
New sample complexity bounds for phylogenetic inference from multiple loci.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013
Sketching Sparse Matrices
CoRR, 2013

2012
Efficient Network Tomography for Internet Topology Discovery.
IEEE/ACM Trans. Netw., 2012

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

2011
Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

On reliability of content identification from databases based on noisy queries.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

2010
Toward the Practical Use of Network Tomography for Internet Topology Discovery.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010


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