Gautam Dasarathy

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 64

Top Topics

Active Learning

Sample Complexity

Model Selection

Top Venues

Publications

Pouria Saidi, Gautam Dasarathy, Visar Berisha
Unraveling overoptimism and publication bias in ML-driven science. CoRR (2024)
Abrar Zahin, Weizhi Li, Gautam Dasarathy
Rapid Change Localization in Dynamic Graphical Models. ICASSP (2024)
Weizhi Li, Prad Kadambi, Pouria Saidi, Karthikeyan Natesan Ramamurthy, Gautam Dasarathy, Visar Berisha
Active Sequential Two-Sample Testing. Trans. Mach. Learn. Res. 2024 (2024)
Parth Thaker, Vineet Gattani, Vignesh Tirukkonda, Pouria Saidi, Gautam Dasarathy
Non-Stationary Bandits with Periodic Behavior: Harnessing Ramanujan Periodicity Transforms to Conquer Time-Varying Challenges. ICASSP (2024)
Ankita Shukla, Rishi Dadhich, Rajhans Singh, Anirudh Rayas, Pouria Saidi, Gautam Dasarathy, Visar Berisha, Pavan K. Turaga
Orthogonality and graph divergence losses promote disentanglement in generative models. Frontiers Comput. Sci. 6 (2024)
Sina Arefizadeh, Angelia Nedich, Gautam Dasarathy
On Characterizations of Potential and Ordinal Potential Games. CoRR (2024)
Weizhi Li, Karthikeyan Natesan Ramamurthy, Prad Kadambi, Pouria Saidi, Gautam Dasarathy, Visar Berisha
Active Sequential Two-Sample Testing. CoRR (2023)
Anirudh Rayas, Rajasekhar Anguluri, Jiajun Cheng, Gautam Dasarathy
Differential Analysis for Networks Obeying Conservation Laws. ICASSP (2023)
Mohit Malu, Giulia Pedrielli, Gautam Dasarathy, Andreas Spanias
Class GP: Gaussian Process Modeling for Heterogeneous Functions. LION (2023)
Anirudh Rayas, Rajasekhar Anguluri, Jiajun Cheng, Gautam Dasarathy
Differential Analysis for Networks Obeying Conservation Laws. CoRR (2023)
Parth Thaker, Mohit Malu, Nikhil Rao, Gautam Dasarathy
Maximizing and Satisficing in Multi-armed Bandits with Graph Information. NeurIPS (2022)
Nafiseh Ghoroghchian, Anguluri Rajasekhar, Gautam Dasarathy, Stark C. Draper
Controllability of Coarsely Measured Networked Linear Dynamical Systems (Extended Version). CoRR (2022)
Abrar Zahin, Rajasekhar Anguluri, Oliver Kosut, Lalitha Sankar, Gautam Dasarathy
Robust Model Selection of Non Tree-Structured Gaussian Graphical Models. CoRR (2022)
Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha
A label efficient two-sample test. UAI (2022)
Nima T. Bazargani, Gautam Dasarathy, Lalitha Sankar, Oliver Kosut
A Machine Learning Framework for Event Identification via Modal Analysis of PMU Data. CoRR (2022)
Anirudh Rayas, Rajasekhar Anguluri, Gautam Dasarathy
Learning the Structure of Large Networked Systems Obeying Conservation Laws. NeurIPS (2022)
Tyler Sypherd, Mario Díaz, John Kevin Cava, Gautam Dasarathy, Peter Kairouz, Lalitha Sankar
A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization. IEEE Trans. Inf. Theory 68 (9) (2022)
Anirudh Rayas, Anguluri Rajasekhar, Gautam Dasarathy
Learning the Structure of Large Networked Systems Obeying Conservation Laws. CoRR (2022)
Anguluri Rajasekhar, Gautam Dasarathy, Oliver Kosut, Lalitha Sankar
Grid Topology Identification With Hidden Nodes via Structured Norm Minimization. IEEE Control. Syst. Lett. 6 (2022)
Sean O. Stalley, Dingyu Wang, Gautam Dasarathy, John Lipor
A Graph-Based Approach to Boundary Estimation With Mobile Sensors. IEEE Robotics Autom. Lett. 7 (2) (2022)
Behrouz Azimian, Reetam Sen Biswas, Shiva Moshtagh, Anamitra Pal, Lang Tong, Gautam Dasarathy
State and Topology Estimation for Unobservable Distribution Systems Using Deep Neural Networks. IEEE Trans. Instrum. Meas. 71 (2022)
Behrouz Azimian, Reetam Sen Biswas, Anamitra Pal, Lang Tong, Gautam Dasarathy
State and Topology Estimation for Unobservable Distribution Systems using Deep Neural Networks. CoRR (2021)
Visar Berisha, Chelsea Krantsevich, P. Richard Hahn, Shira Hahn, Gautam Dasarathy, Pavan K. Turaga, Julie Liss
Digital medicine and the curse of dimensionality. npj Digit. Medicine 4 (2021)
Nafiseh Ghoroghchian, Gautam Dasarathy, Stark C. Draper
Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model. CoRR (2021)
Nathan Dunkelberger, Jennifer L. Sullivan, Joshua Bradley, Indu Manickam, Gautam Dasarathy, Richard G. Baraniuk, Marcia K. O'Malley
A Multisensory Approach to Present Phonemes as Language Through a Wearable Haptic Device. IEEE Trans. Haptics 14 (1) (2021)
Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha
A label efficient two-sample test. CoRR (2021)
Parth K. Thaker, Nikhil Rao, Mohit Malu, Gautam Dasarathy
Pure Exploration in Multi-armed Bandits with Graph Side Information. CoRR (2021)
Mohit Malu, Gautam Dasarathy, Andreas Spanias
Bayesian Optimization in High-Dimensional Spaces: A Brief Survey. IISA (2021)
Nafiseh Ghoroghchian, Gautam Dasarathy, Stark C. Draper
Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model. AISTATS (2021)
John Janiczek, Parth Thaker, Gautam Dasarathy, Christopher S. Edwards, Philip Christensen, Suren Jayasuriya
Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion Model. CoRR (2020)
Tyler Sypherd, Mario Díaz, Lalitha Sankar, Gautam Dasarathy
On the alpha-loss Landscape in the Logistic Model. CoRR (2020)
Parth Thaker, Gautam Dasarathy, Angelia Nedic
On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems. CoRR (2020)
Parth K. Thaker, Gautam Dasarathy, Angelia Nedic
On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems. ISIT (2020)
Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha
Finding the Homology of Decision Boundaries with Active Learning. NeurIPS (2020)
Daniel LeJeune, Gautam Dasarathy, Richard G. Baraniuk
Thresholding Graph Bandits with GrAPL. AISTATS (2020)
Weizhi Li, Gautam Dasarathy, Visar Berisha
Regularization via Structural Label Smoothing. AISTATS (2020)
Weizhi Li, Gautam Dasarathy, Visar Berisha
Regularization via Structural Label Smoothing. CoRR (2020)
Tyler Sypherd, Mario Díaz, Lalitha Sankar, Gautam Dasarathy
On the α-loss Landscape in the Logistic Model. ISIT (2020)
Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha
Finding the Homology of Decision Boundaries with Active Learning. CoRR (2020)
John Janiczek, Parth Thaker, Gautam Dasarathy, Christopher S. Edwards, Philip Christensen, Suren Jayasuriya
Differentiable Programming for Hyperspectral Unmixing Using a Physics-Based Dispersion Model. ECCV (27) (2020)
Dingyu Wang, John Lipor, Gautam Dasarathy
Distance-Penalized Active Learning via Markov Decision Processes. DSW (2019)
Indu Manickam, Andrew S. Lan, Gautam Dasarathy, Richard G. Baraniuk
IdeoTrace: A Framework for Ideology Tracing with a Case Study on the 2016 U.S. Presidential Election. CoRR (2019)
Daniel LeJeune, Gautam Dasarathy, Richard G. Baraniuk
Thresholding Graph Bandits with GrAPL. CoRR (2019)
Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk
A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery. ICLR (Poster) (2019)
Gautam Dasarathy
Gaussian Graphical Model Selection from Size Constrained Measurements. ISIT (2019)
Indu Manickam, Andrew S. Lan, Gautam Dasarathy, Richard G. Baraniuk
IdeoTrace: a framework for ideology tracing with a case study on the 2016 U.S. presidential election. ASONAM (2019)
Kirthevasan Kandasamy, Gautam Dasarathy, Junier B. Oliva, Jeff G. Schneider, Barnabás Póczos
Multi-fidelity Gaussian Process Bandit Optimisation. J. Artif. Intell. Res. 66 (2019)
Tyler Sypherd, Mario Díaz, Harshit Laddha, Lalitha Sankar, Peter Kairouz, Gautam Dasarathy
A Tunable Loss Function for Classification. CoRR (2019)
Amirali Aghazadeh, Ryan Spring, Daniel LeJeune, Gautam Dasarathy, Anshumali Shrivastava, Richard G. Baraniuk
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches. CoRR (2018)
Amirali Aghazadeh, Ryan Spring, Daniel LeJeune, Gautam Dasarathy, Anshumali Shrivastava, Richard G. Baraniuk
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches. ICML (2018)
Nathan Dunkelberger, Jenny Sullivan, Joshua Bradley, Nickolas P. Walling, Indu Manickam, Gautam Dasarathy, Ali Israr, Frances W. Y. Lau, Keith Klumb, Brian Knott, Freddy Abnousi, Richard G. Baraniuk, Marcia K. O'Malley
Conveying language through haptics: a multi-sensory approach. UbiComp (2018)
John Lipor, Gautam Dasarathy
Quantile Search with Time-Varying Search Parameter. ACSSC (2018)
Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk
DeepCodec: Adaptive sensing and recovery via deep convolutional neural networks. Allerton (2017)
Gautam Dasarathy, Parikshit Shah, Richard G. Baraniuk
Sketched covariance testing: A compression-statistics tradeoff. ACSSC (2017)
Kirthevasan Kandasamy, Gautam Dasarathy, Jeff G. Schneider, Barnabás Póczos
Multi-fidelity Bayesian Optimisation with Continuous Approximations. ICML (2017)
Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk
DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networks. CoRR (2017)
Gautam Dasarathy, Parikshit Shah, Richard G. Baraniuk
Sketched covariance testing: A compression-statistics tradeoff. ISIT (2017)
Gautam Dasarathy, Elchanan Mossel, Robert D. Nowak, Sebastien Roch
Coalescent-based species tree estimation: a stochastic Farris transform. CoRR (2017)
Kirthevasan Kandasamy, Gautam Dasarathy, Junier B. Oliva, Jeff G. Schneider, Barnabás Póczos
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations. NIPS (2016)
Kirthevasan Kandasamy, Gautam Dasarathy, Jeff G. Schneider, Barnabás Póczos
The Multi-fidelity Multi-armed Bandit. CoRR (2016)
Gautam Dasarathy, Aarti Singh, Maria-Florina Balcan, Jong Hyuk Park
Active Learning Algorithms for Graphical Model Selection. CoRR (2016)
Kirthevasan Kandasamy, Gautam Dasarathy, Barnabás Póczos, Jeff G. Schneider
The Multi-fidelity Multi-armed Bandit. NIPS (2016)
Kirthevasan Kandasamy, Gautam Dasarathy, Junier B. Oliva, Jeff G. Schneider, Barnabás Póczos
Multi-fidelity Gaussian Process Bandit Optimisation. CoRR (2016)
Gautam Dasarathy, Aarti Singh, Maria-Florina Balcan, Jong Hyuk Park
Active Learning Algorithms for Graphical Model Selection. AISTATS (2016)
Gautam Dasarathy, Robert D. Nowak, Xiaojin Zhu
S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification. CoRR (2015)
Gautam Dasarathy, Robert D. Nowak, Xiaojin Zhu
S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification. COLT (2015)
Gautam Dasarathy, Robert D. Nowak, Sébastien Roch
Data Requirement for Phylogenetic Inference from Multiple Loci: A New Distance Method. IEEE ACM Trans. Comput. Biol. Bioinform. 12 (2) (2015)
Gautam Dasarathy, Parikshit Shah, Badri Narayan Bhaskar, Robert D. Nowak
Sketching Sparse Matrices, Covariances, and Graphs via Tensor Products. IEEE Trans. Inf. Theory 61 (3) (2015)
Gautam Dasarathy, Robert D. Nowak, Sébastien Roch
New sample complexity bounds for phylogenetic inference from multiple loci. ISIT (2014)
Gautam Dasarathy, Robert D. Nowak, Sebastien Roch
Data Requirement for Phylogenetic Inference from Multiple Loci: A New Distance Method. CoRR (2014)
Gautam Dasarathy, Parikshit Shah, Badri Narayan Bhaskar, Robert D. Nowak
Sketching Sparse Matrices CoRR (2013)
Gautam Dasarathy, Parikshit Shah, Badri Narayan Bhaskar, Robert D. Nowak
Covariance sketching. Allerton Conference (2012)
Brian Eriksson, Gautam Dasarathy, Paul Barford, Robert D. Nowak
Efficient Network Tomography for Internet Topology Discovery. IEEE/ACM Trans. Netw. 20 (3) (2012)
Gautam Dasarathy, Stark C. Draper
On reliability of content identification from databases based on noisy queries. ISIT (2011)
Brian Eriksson, Gautam Dasarathy, Aarti Singh, Robert D. Nowak
Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities CoRR (2011)
Brian Eriksson, Gautam Dasarathy, Aarti Singh, Robert D. Nowak
Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities. AISTATS (2011)
Brian Eriksson, Gautam Dasarathy, Paul Barford, Robert D. Nowak
Toward the Practical Use of Network Tomography for Internet Topology Discovery. INFOCOM (2010)