Aarti Singh

According to our database, Aarti Singh authored at least 140 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Online Learning for Dynamic Impending Collision Prediction using FMCW Radar.

Aarti Singh, Neal Patwari

ACM Trans. Internet Things, February, 2024

Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs.

Aakash Lahoti, Stefani Karp, Ezra Winston, Aarti Singh, Yuanzhi Li

CoRR, 2024

Goodhart's Law Applies to NLP's Explanation Benchmarks.

Jennifer Hsia, Danish Pruthi, Aarti Singh, Zachary C. Lipton

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

A Novel Software Defined Radio for Practical, Mobile Crowdsourced Spectrum Sensing.

Phillip Smith, Anh Luong, Shamik Sarkar, Harsimran Singh, Aarti Singh, Neal Patwari, Sneha Kumar Kasera, Kurt Derr

IEEE Trans. Mob. Comput., March, 2023

Specifying and Solving Robust Empirical Risk Minimization Problems Using CVXPY.

Eric Luxenberg, Dhruv Malik, Yuanzhi Li, Aarti Singh, Stephen P. Boyd

CoRR, 2023

Deep learning powered real-time identification of insects using citizen science data.

Shivani Chiranjeevi, Mojdeh Saadati, Zi K. Deng, Jayanth Koushik, Talukder Z. Jubery, Daren Mueller, Matthew E. O. Neal, Nirav C. Merchant, Aarti Singh, Asheesh K. Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian

CoRR, 2023

Predicting the Initial Conditions of the Universe using Deep Learning.

Vaibhav Jindal, Drew Jamieson, Albert Liang, Aarti Singh, Shirley Ho

CoRR, 2023

The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms.

Anirudh Vemula, Yuda Song, Aarti Singh, Drew Bagnell, Sanjiban Choudhury

Proceedings of the International Conference on Machine Learning, 2023

Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality.

Dhruv Malik, Conor Igoe, Yuanzhi Li, Aarti Singh

Proceedings of the International Conference on Machine Learning, 2023

Adaptation to Misspecified Kernel Regularity in Kernelised Bandits.

Yusha Liu, Aarti Singh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Integrating Rankings into Quantized Scores in Peer Review.

Yusha Liu, Yichong Xu, Nihar B. Shah, Aarti Singh

Trans. Mach. Learn. Res., 2022

Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions.

Charvi Rastogi, Sivaraman Balakrishnan, Nihar B. Shah, Aarti Singh

J. Mach. Learn. Res., 2022

Complete Policy Regret Bounds for Tallying Bandits.

Dhruv Malik, Yuanzhi Li, Aarti Singh

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review.

Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III

Proc. ACM Hum. Comput. Interact., 2021

Near-optimal discrete optimization for experimental design: a regret minimization approach.

Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh, Yining Wang

Math. Program., 2021

PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review.

Ivan Stelmakh, Nihar B. Shah, Aarti Singh

J. Mach. Learn. Res., 2021

Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels.

Stefani Karp, Ezra Winston, Yuanzhi Li, Aarti Singh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Range-based Collision Prediction for Dynamic Motion.

Aarti Singh, Neal Patwari

Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

Smooth Bandit Optimization: Generalization to Holder Space.

Yusha Liu, Yining Wang, Aarti Singh

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

Best Arm Identification under Additive Transfer Bandits.

Ojash Neopane, Aaditya Ramdas, Aarti Singh

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences.

Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessment.

Ivan Stelmakh, Nihar B. Shah, Aarti Singh

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information.

Yichong Xu, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski

J. Mach. Learn. Res., 2020

A Large Scale Randomized Controlled Trial on Herding in Peer-Review Discussions.

Ivan Stelmakh, Charvi Rastogi, Nihar B. Shah, Aarti Singh, Hal Daumé III

CoRR, 2020

Zeroth Order Non-convex optimization with Dueling-Choice Bandits.

Yichong Xu, Aparna Joshi, Aarti Singh, Artur Dubrawski

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Preference-based Reinforcement Learning with Finite-Time Guarantees.

Yichong Xu, Ruosong Wang, Lin F. Yang, Aarti Singh, Artur Dubrawski

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

Two-Sample Testing on Pairwise Comparison Data and the Role of Modeling Assumptions.

Charvi Rastogi, Sivaraman Balakrishnan, Nihar B. Shah, Aarti Singh

Proceedings of the IEEE International Symposium on Information Theory, 2020

Thresholding Bandit Problem with Both Duels and Pulls.

Yichong Xu, Xi Chen, Aarti Singh, Artur Dubrawski

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

2019

A Theoretical Analysis of Noisy Sparse Subspace Clustering on Dimensionality-Reduced Data.

Yining Wang, Yu-Xiang Wang, Aarti Singh

IEEE Trans. Inf. Theory, 2019

Optimization of Smooth Functions With Noisy Observations: Local Minimax Rates.

Yining Wang, Sivaraman Balakrishnan, Aarti Singh

IEEE Trans. Inf. Theory, 2019

Rate optimal estimation and confidence intervals for high-dimensional regression with missing covariates.

Yining Wang, Jialei Wang, Sivaraman Balakrishnan, Aarti Singh

J. Multivar. Anal., 2019

A clustered neighbourhood consensus algorithm for a generic agent interaction protocol.

Aarti Singh, Dimple Juneja, Rashmi Singh, Saurabh Mukherjee

Int. J. Adv. Intell. Paradigms, 2019

Active Learning for Graph Neural Networks via Node Feature Propagation.

Yuexin Wu, Yichong Xu, Aarti Singh, Yiming Yang, Artur Dubrawski

CoRR, 2019

On Testing for Biases in Peer Review.

Ivan Stelmakh, Nihar B. Shah, Aarti Singh

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Gradient Descent Provably Optimizes Over-parameterized Neural Networks.

Simon S. Du, Xiyu Zhai, Barnabás Póczos, Aarti Singh

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

Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent.

Yifan Wu, Barnabás Póczos, Aarti Singh

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Extreme Compressive Sampling for Covariance Estimation.

Martin Azizyan, Akshay Krishnamurthy, Aarti Singh

IEEE Trans. Inf. Theory, 2018

A clustering-based recommendation engine for restaurants.

Aarti Singh, Anu Sharma

Int. J. Adv. Intell. Paradigms, 2018

Efficient Load Sampling for Worst-Case Structural Analysis Under Force Location Uncertainty.

Yining Wang, Erva Ulu, Aarti Singh, Levent Burak Kara

CoRR, 2018

Robust Nonparametric Regression under Huber's ε-contamination Model.

Simon S. Du, Yining Wang, Sivaraman Balakrishnan, Pradeep Ravikumar, Aarti Singh

CoRR, 2018

How Many Samples are Needed to Learn a Convolutional Neural Network?

Simon S. Du, Yining Wang, Xiyu Zhai, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Aarti Singh

CoRR, 2018

Multiresolution Representations for Piecewise-Smooth Signals on Graphs.

Siheng Chen, Aarti Singh, Jelena Kovacevic

CoRR, 2018

Local White Matter Architecture Defines Functional Brain Dynamics.

Sivaraman Balakrishnan, Yo Joong Choe, Aarti Singh, Jean M. Vettel, Timothy D. Verstynen

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

How Many Samples are Needed to Estimate a Convolutional Neural Network?

Simon S. Du, Yining Wang, Xiyu Zhai, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Aarti Singh

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information.

Yichong Xu, Hariank Muthakana, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski

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

Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima.

Simon S. Du, Jason D. Lee, Yuandong Tian, Aarti Singh, Barnabás Póczos

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

Linear Quantization by Effective-Resistance Sampling.

Yining Wang, Aarti Singh

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Stochastic Zeroth-order Optimization in High Dimensions.

Yining Wang, Simon S. Du, Sivaraman Balakrishnan, Aarti Singh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Interactive Linear Regression with Pairwise Comparisons.

Yichong Xu, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski

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

2017

Detecting Localized Categorical Attributes on Graphs.

Siheng Chen, Yaoqing Yang, Shi Zong, Aarti Singh, Jelena Kovacevic

IEEE Trans. Signal Process., 2017

On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models.

Yining Wang, Adams Wei Yu, Aarti Singh

J. Mach. Learn. Res., 2017

Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data.

Yining Wang, Aarti Singh

J. Mach. Learn. Res., 2017

A novel agent based autonomous and service composition framework for cost optimization of resource provisioning in cloud computing.

Aarti Singh, Dimple Juneja, Manisha Malhotra

J. King Saud Univ. Comput. Inf. Sci., 2017

A Thorough Insight into Theoretical and Practical Developments in MultiAgent Systems.

Dimple Juneja, Aarti Singh, Rashmi Singh, Saurabh Mukherjee

Int. J. Ambient Comput. Intell., 2017

Computationally Efficient Robust Estimation of Sparse Functionals.

Simon S. Du, Sivaraman Balakrishnan, Aarti Singh

CoRR, 2017

Noise-Tolerant Interactive Learning Using Pairwise Comparisons.

Yichong Xu, Hongyang Zhang, Aarti Singh, Artur Dubrawski, Kyle Miller

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

On the Power of Truncated SVD for General High-rank Matrix Estimation Problems.

Simon S. Du, Yining Wang, Aarti Singh

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Hypothesis Transfer Learning via Transformation Functions.

Simon S. Du, Jayanth Koushik, Aarti Singh, Barnabás Póczos

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Gradient Descent Can Take Exponential Time to Escape Saddle Points.

Simon S. Du, Chi Jin, Jason D. Lee, Michael I. Jordan, Aarti Singh, Barnabás Póczos

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Uncorrelation and Evenness: a New Diversity-Promoting Regularizer.

Pengtao Xie, Aarti Singh, Eric P. Xing

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

Near-Optimal Design of Experiments via Regret Minimization.

Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh, Yining Wang

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

Computationally Efficient Robust Sparse Estimation in High Dimensions.

Sivaraman Balakrishnan, Simon S. Du, Jerry Li, Aarti Singh

Proceedings of the 30th Conference on Learning Theory, 2017

2016

Detecting Anomalous Activity on Networks With the Graph Fourier Scan Statistic.

James Sharpnack, Alessandro Rinaldo, Aarti Singh

IEEE Trans. Signal Process., 2016

Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies.

Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic

IEEE Trans. Signal Inf. Process. over Networks, 2016

Automatic builder of class diagram (ABCD): an application of UML generation from functional requirements.

Wahiba Ben Abdessalem Karaa, Zeineb Ben Azzouz, Aarti Singh, Nilanjan Dey, Amira S. Ashour, Henda Ben Ghézala

Softw. Pract. Exp., 2016

Quantifying Differences and Similarities in Whole-Brain White Matter Architecture Using Local Connectome Fingerprints.

Fang-Cheng Yeh, Jean M. Vettel, Aarti Singh, Barnabás Póczos, Scott T. Grafton, Kirk I. Erickson, Wen-Yih Isaac Tseng, Timothy D. Verstynen

PLoS Comput. Biol., 2016

Minimax Subsampling for Estimation and Prediction in Low-Dimensional Linear Regression.

Yining Wang, Aarti Singh

CoRR, 2016

Classification Accuracy as a Proxy for Two Sample Testing.

Aaditya Ramdas, Aarti Singh, Larry A. Wasserman

CoRR, 2016

Transformation Function Based Methods for Model Shift.

Simon Shaolei Du, Jayanth Koushik, Aarti Singh, Barnabás Póczos

CoRR, 2016

Detecting Structure-correlated Attributes on Graphs.

Siheng Chen, Yaoqing Yang, Shi Zong, Aarti Singh, Jelena Kovacevic

CoRR, 2016

Data Poisoning Attacks on Factorization-Based Collaborative Filtering.

Bo Li, Yining Wang, Aarti Singh, Yevgeniy Vorobeychik

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

Minimax lower bounds for linear independence testing.

Aaditya Ramdas, David Isenberg, Aarti Singh, Larry A. Wasserman

Proceedings of the IEEE International Symposium on Information Theory, 2016

A statistical perspective of sampling scores for linear regression.

Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic

Proceedings of the IEEE International Symposium on Information Theory, 2016

Optimal Cluster Head Election Algorithm for Mobile Wireless Sensor Networks.

Aarti Singh, Kavita Gupta

ICTCS, 2016

Representations of piecewise smooth signals on graphs.

Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Signal detection on graphs: Bernoulli noise model.

Siheng Chen, Yaoqing Yang, Aarti Singh, Jelena Kovacevic

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Graph Connectivity in Noisy Sparse Subspace Clustering.

Yining Wang, Yu-Xiang Wang, Aarti Singh

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

Active Learning Algorithms for Graphical Model Selection.

Gautam Dasarathy, Aarti Singh, Maria-Florina Balcan, Jong Hyuk Park

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

Noise-Adaptive Margin-Based Active Learning and Lower Bounds under Tsybakov Noise Condition.

Yining Wang, Aarti Singh

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Semantics and Agents Oriented Web Personalization: State of the Art.

Aarti Singh, Anu Sharma, Nilanjan Dey

Int. J. Serv. Sci. Manag. Eng. Technol., 2015

Agent based Resource Allocation Mechanism Focusing Cost Optimization in Cloud Computing.

Aarti Singh, Manisha Malhotra

Int. J. Cloud Appl. Comput., 2015

Clustering Consistent Sparse Subspace Clustering.

Yining Wang, Yu-Xiang Wang, Aarti Singh

CoRR, 2015

Provably Correct Active Sampling Algorithms for Matrix Column Subset Selection with Missing Data.

Yining Wang, Aarti Singh

CoRR, 2015

Adaptivity and Computation-Statistics Tradeoffs for Kernel and Distance based High Dimensional Two Sample Testing.

Aaditya Ramdas, Sashank J. Reddi, Barnabás Póczos, Aarti Singh, Larry A. Wasserman

CoRR, 2015

Signal Representations on Graphs: Tools and Applications.

Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic

CoRR, 2015

Signal Recovery on Graphs: Random versus Experimentally Designed Sampling.

Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic

CoRR, 2015

Risk Bounds For Mode Clustering.

Martin Azizyan, Yen-Chi Chen, Aarti Singh, Larry A. Wasserman

CoRR, 2015

Differentially private subspace clustering.

Yining Wang, Yu-Xiang Wang, Aarti Singh

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data.

Yining Wang, Yu-Xiang Wang, Aarti Singh

Proceedings of the 32nd International Conference on Machine Learning, 2015

An empirical comparison of sampling techniques for matrix column subset selection.

Yining Wang, Aarti Singh

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Column Subset Selection with Missing Data via Active Sampling.

Yining Wang, Aarti Singh

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives.

Sashank J. Reddi, Aaditya Ramdas, Barnabás Póczos, Aarti Singh, Larry A. Wasserman

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures.

Martin Azizyan, Aarti Singh, Larry A. Wasserman

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

On the Decreasing Power of Kernel and Distance Based Nonparametric Hypothesis Tests in High Dimensions.

Aaditya Ramdas, Sashank Jakkam Reddi, Barnabás Póczos, Aarti Singh, Larry A. Wasserman

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Noise-adaptive Margin-based Active Learning for Multi-dimensional Data.

Yining Wang, Aarti Singh

CoRR, 2014

Kernel MMD, the Median Heuristic and Distance Correlation in High Dimensions.

Sashank J. Reddi, Aaditya Ramdas, Barnabás Póczos, Aarti Singh, Larry A. Wasserman

CoRR, 2014

On the High-dimensional Power of Linear-time Kernel Two-Sample Testing under Mean-difference Alternatives.

Aaditya Ramdas, Sashank J. Reddi, Barnabás Póczos, Aarti Singh, Larry A. Wasserman

CoRR, 2014

On the Power of Adaptivity in Matrix Completion and Approximation.

Akshay Krishnamurthy, Aarti Singh

CoRR, 2014

An Analysis of Active Learning with Uniform Feature Noise.

Aaditya Ramdas, Barnabás Póczos, Aarti Singh, Larry A. Wasserman

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

FuSSO: Functional Shrinkage and Selection Operator.

Junier B. Oliva, Barnabás Póczos, Timothy D. Verstynen, Aarti Singh, Jeff G. Schneider, Fang-Cheng Yeh, Wen-Yih Isaac Tseng

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Subspace learning from extremely compressed measurements.

Martin Azizyan, Akshay Krishnamurthy, Aarti Singh

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

Statistical Inference For Persistent Homology

Sivaraman Balakrishnan, Brittany Fasy, Fabrizio Lecci, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman

CoRR, 2013

On the Bootstrap for Persistence Diagrams and Landscapes.

Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman

CoRR, 2013

Tight Lower Bounds for Homology Inference.

Sivaraman Balakrishnan, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman

CoRR, 2013

Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic.

James Sharpnack, Akshay Krishnamurthy, Aarti Singh

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

Low-Rank Matrix and Tensor Completion via Adaptive Sampling.

Akshay Krishnamurthy, Aarti Singh

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

Cluster Trees on Manifolds.

Sivaraman Balakrishnan, Srivatsan Narayanan, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman

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

Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation.

Martin Azizyan, Aarti Singh, Larry A. Wasserman

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

Optimal rates for stochastic convex optimization under Tsybakov noise condition.

Aaditya Ramdas, Aarti Singh

Proceedings of the 30th International Conference on Machine Learning, 2013

Near-optimal and computationally efficient detectors for weak and sparse graph-structured patterns.

James Sharpnack, Aarti Singh

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Exploring the intersection of active learning and stochastic convex optimization.

Aaditya Ramdas, Aarti Singh

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Algorithmic Connections between Active Learning and Stochastic Convex Optimization.

Aaditya Ramdas, Aarti Singh

Proceedings of the Algorithmic Learning Theory - 24th International Conference, 2013

Changepoint Detection over Graphs with the Spectral Scan Statistic.

James Sharpnack, Aarti Singh, Alessandro Rinaldo

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Detecting Activations over Graphs using Spanning Tree Wavelet Bases.

James Sharpnack, Aarti Singh, Akshay Krishnamurthy

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Distribution-Free Distribution Regression.

Barnabás Póczos, Aarti Singh, Alessandro Rinaldo, Larry A. Wasserman

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Recovering graph-structured activations using adaptive compressive measurements.

Akshay Krishnamurthy, James Sharpnack, Aarti Singh

Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012

Sparsistency of the Edge Lasso over Graphs.

James Sharpnack, Aarti Singh, Alessandro Rinaldo

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Stability of density-based clustering.

Alessandro Rinaldo, Aarti Singh, Rebecca Nugent, Larry A. Wasserman

J. Mach. Learn. Res., 2012

Minimax rates for homology inference.

Sivaraman Balakrishnan, Alessandro Rinaldo, Don Sheehy, Aarti Singh, Larry A. Wasserman

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Optimal Stochastic Convex Optimization Through The Lens Of Active Learning

Aaditya Ramdas, Aarti Singh

CoRR, 2012

Density-Sensitive Semisupervised Inference

Martin Azizyan, Aarti Singh, Larry A. Wasserman

CoRR, 2012

Subspace detection of high-dimensional vectors using compressive sampling.

Martin Azizyan, Aarti Singh

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Robust multi-source network tomography using selective probes.

Akshay Krishnamurthy, Aarti Singh

Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Efficient Active Algorithms for Hierarchical Clustering.

Akshay Krishnamurthy, Sivaraman Balakrishnan, Min Xu, Aarti Singh

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

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

Brian Eriksson, Gautam Dasarathy, Aarti Singh, Robert D. Nowak

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

Agent Development Toolkits

Aarti Singh, Dimple Juneja, A. K. Sharma

CoRR, 2011

Minimax Localization of Structural Information in Large Noisy Matrices.

Mladen Kolar, Sivaraman Balakrishnan, Alessandro Rinaldo, Aarti Singh

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Noise Thresholds for Spectral Clustering.

Sivaraman Balakrishnan, Min Xu, Akshay Krishnamurthy, Aarti Singh

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Design of an Intelligent and Adaptive Mapping Mechanism for Multiagent Interface.

Aarti Singh, Dimple Juneja, A. K. Sharma

Proceedings of the High Performance Architecture and Grid Computing, 2011

2010

Detecting Weak but Hierarchically-Structured Patterns in Networks.

Aarti Singh, Robert D. Nowak, A. Robert Calderbank

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Identifying graph-structured activation patterns in networks.

James Sharpnack, Aarti Singh

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

Multi-Manifold Semi-Supervised Learning.

Andrew B. Goldberg, Xiaojin Zhu, Aarti Singh, Zhiting Xu, Robert D. Nowak

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

2008

A Hybrid Computational Grid Architecture for Comparative Genomics.

Aarti Singh, Chen Chen, Weiguo Liu, Wayne P. Mitchell, Bertil Schmidt

IEEE Trans. Inf. Technol. Biomed., 2008

Unlabeled data: Now it helps, now it doesn't.

Aarti Singh, Robert D. Nowak, Xiaojin Zhu

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Controlling the error in FMRI: Hypothesis testing or set estimation?

Zachary T. Harmany, Rebecca Willett, Aarti Singh, Robert D. Nowak

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Delay-Differentiated Gossiping in Delay Tolerant Networks.

Parameswaran Ramanathan, Aarti Singh

Proceedings of IEEE International Conference on Communications, 2008

Adaptive Hausdorff Estimation of Density Level Sets.

Aarti Singh, Robert D. Nowak, Clayton D. Scott

Proceedings of the 21st Annual Conference on Learning Theory, 2008

2006

Active learning for adaptive mobile sensing networks.

Aarti Singh, Robert D. Nowak, Parameswaran Ramanathan

Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

Decentralized compression and predistribution via randomized gossiping.

Michael G. Rabbat, Jarvis D. Haupt, Aarti Singh, Robert D. Nowak

Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

2005

Spatial reuse through adaptive interference cancellation in multi-antenna wireless networks.

Aarti Singh, Parmesh Ramanathan, Barry D. Van Veen

Proceedings of the Global Telecommunications Conference, 2005. GLOBECOM '05, St. Louis, Missouri, USA, 28 November, 2005