Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect. - Neopane, Ojash; Ramdas, Aaditya; Singh, Aarti (CoRR, 2025)

Projection Optimization: A General Framework for Multi-Objective and Multi-Group RLHF. - Xiong, Nuoya; Singh, Aarti (CoRR, 2025)

Specifying and Solving Robust Empirical Risk Minimization Problems Using CVXPY. - Luxenberg, Eric; Malik, Dhruv; Li, Yuanzhi; Singh, Aarti; Boyd, Stephen P. (J. Optim. Theory Appl., 2024)

Online Learning for Dynamic Impending Collision Prediction using FMCW Radar. - Singh, Aarti; Patwari, Neal (ACM Trans. Internet Things, 2024)

Learning Decision-Making Functions Given Cardinal and Ordinal Consensus Data. - Pardeshi, Kanad; Shapira, Itai; Procaccia, Ariel D.; Singh, Aarti (2024)

Goodhart's Law Applies to NLP's Explanation Benchmarks. - Hsia, Jennifer; Pruthi, Danish; Singh, Aarti; Lipton, Zachary C. (2024)

Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs. - Lahoti, Aakash; Karp, Stefani; Winston, Ezra; Singh, Aarti; Li, Yuanzhi (2024)

Hybrid Reinforcement Learning from Offline Observation Alone. - Song, Yuda; Bagnell, Drew; Singh, Aarti (2024)

The Importance of Online Data: Understanding Preference Fine-tuning via Coverage. - Song, Yuda; Swamy, Gokul; Singh, Aarti; Bagnell, J. Andrew; Sun, Wen (2024)

Learning Social Welfare Functions. - Pardeshi, Kanad; Shapira, Itai; Procaccia, Ariel D.; Singh, Aarti (2024)

Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs. - Lahoti, Aakash; Karp, Stefani; Winston, Ezra; Singh, Aarti; Li, Yuanzhi (CoRR, 2024)

Learning Social Welfare Functions. - Pardeshi, Kanad Shrikar; Shapira, Itai; Procaccia, Ariel D.; Singh, Aarti (CoRR, 2024)

Understanding Preference Fine-Tuning Through the Lens of Coverage. - Song, Yuda; Swamy, Gokul; Singh, Aarti; Bagnell, J. Andrew; Sun, Wen (CoRR, 2024)

Hybrid Reinforcement Learning from Offline Observation Alone. - Song, Yuda; Bagnell, J. Andrew; Singh, Aarti (CoRR, 2024)

Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts. - Chung, Youngseog; Malik, Dhruv; Schneider, Jeff G.; Li, Yuanzhi; Singh, Aarti (CoRR, 2024)

Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects. - Cortes-Gomez, Santiago; Raman, Naveen; Singh, Aarti; Wilder, Bryan (CoRR, 2024)

Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect. - Neopane, Ojash; Ramdas, Aaditya; Singh, Aarti (CoRR, 2024)

A Novel Software Defined Radio for Practical, Mobile Crowdsourced Spectrum Sensing. - Smith, Phillip; Luong, Anh; Sarkar, Shamik; Singh, Harsimran; Singh, Aarti; Patwari, Neal; Kasera, Sneha Kumar; Derr, Kurt (IEEE Trans. Mob. Comput., 2023)

Adaptation to Misspecified Kernel Regularity in Kernelised Bandits. - Liu, Yusha; Singh, Aarti (2023)

Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality. - Malik, Dhruv; Igoe, Conor; Li, Yuanzhi; Singh, Aarti (2023)

The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms. - Vemula, Anirudh; Song, Yuda; Singh, Aarti; Bagnell, Drew; Choudhury, Sanjiban (2023)

The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms. - Vemula, Anirudh; Song, Yuda; Singh, Aarti; Bagnell, J. Andrew; Choudhury, Sanjiban (CoRR, 2023)

Predicting the Initial Conditions of the Universe using Deep Learning. - Jindal, Vaibhav; Jamieson, Drew; Liang, Albert; Singh, Aarti; Ho, Shirley (CoRR, 2023)

Adaptation to Misspecified Kernel Regularity in Kernelised Bandits. - Liu, Yusha; Singh, Aarti (CoRR, 2023)

Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality. - Malik, Dhruv; Igoe, Conor; Li, Yuanzhi; Singh, Aarti (CoRR, 2023)

Deep learning powered real-time identification of insects using citizen science data. - Chiranjeevi, Shivani; Saadati, Mojdeh; Deng, Zi K.; Koushik, Jayanth; Jubery, Talukder Z.; Mueller, Daren; Neal, Matthew E. O.; Merchant, Nirav C.; Singh, Aarti; Singh, Asheesh K.; Sarkar, Soumik; Singh, Arti; et al. (CoRR, 2023)

Specifying and Solving Robust Empirical Risk Minimization Problems Using CVXPY. - Luxenberg, Eric; Malik, Dhruv; Li, Yuanzhi; Singh, Aarti; Boyd, Stephen P. (CoRR, 2023)

Goodhart's Law Applies to NLP's Explanation Benchmarks. - Hsia, Jennifer; Pruthi, Danish; Singh, Aarti; Lipton, Zachary C. (CoRR, 2023)

Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions. - Rastogi, Charvi; Balakrishnan, Sivaraman; Shah, Nihar B.; Singh, Aarti (J. Mach. Learn. Res., 2022)

Integrating Rankings into Quantized Scores in Peer Review. - Liu, Yusha; Xu, Yichong; Shah, Nihar B.; Singh, Aarti (Trans. Mach. Learn. Res., 2022)

Complete Policy Regret Bounds for Tallying Bandits. - Malik, Dhruv; Li, Yuanzhi; Singh, Aarti (2022)

Integrating Rankings into Quantized Scores in Peer Review. - Liu, Yusha; Xu, Yichong; Shah, Nihar B.; Singh, Aarti (CoRR, 2022)

Complete Policy Regret Bounds for Tallying Bandits. - Malik, Dhruv; Li, Yuanzhi; Singh, Aarti (CoRR, 2022)

PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review. - Stelmakh, Ivan; Shah, Nihar B.; Singh, Aarti (J. Mach. Learn. Res., 2021)

Near-optimal discrete optimization for experimental design: a regret minimization approach. - Allen-Zhu, Zeyuan; Li, Yuanzhi; Singh, Aarti; Wang, Yining (Math. Program., 2021)

Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review. - Stelmakh, Ivan; Shah, Nihar B.; Singh, Aarti; Daumé, Hal, III (Proc. ACM Hum. Comput. Interact., 2021)

A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences. - Stelmakh, Ivan; Shah, Nihar B.; Singh, Aarti; Daumé, Hal, III (2021)

Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessment. - Stelmakh, Ivan; Shah, Nihar B.; Singh, Aarti (2021)

Best Arm Identification under Additive Transfer Bandits. - Neopane, Ojash; Ramdas, Aaditya; Singh, Aarti (2021)

Smooth Bandit Optimization: Generalization to Holder Space. - Liu, Yusha; Wang, Yining; Singh, Aarti (2021)

Range-based Collision Prediction for Dynamic Motion. - Singh, Aarti; Patwari, Neal (2021)

Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels. - Karp, Stefani; Winston, Ezra; Li, Yuanzhi; Singh, Aarti (2021)

Best Arm Identification under Additive Transfer Bandits. - Neopane, Ojash; Ramdas, Aaditya; Singh, Aarti (CoRR, 2021)

Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. - Xu, Yichong; Balakrishnan, Sivaraman; Singh, Aarti; Dubrawski, Artur (J. Mach. Learn. Res., 2020)

Thresholding Bandit Problem with Both Duels and Pulls. - Xu, Yichong; Chen, Xi; Singh, Aarti; Dubrawski, Artur (2020)

Two-Sample Testing on Pairwise Comparison Data and the Role of Modeling Assumptions. - Rastogi, Charvi; Balakrishnan, Sivaraman; Shah, Nihar B.; Singh, Aarti (2020)

Preference-based Reinforcement Learning with Finite-Time Guarantees. - Xu, Yichong; Wang, Ruosong; Yang, Lin F.; Singh, Aarti; Dubrawski, Artur (2020)

Zeroth Order Non-convex optimization with Dueling-Choice Bandits. - Xu, Yichong; Joshi, Aparna; Singh, Aarti; Dubrawski, Artur (2020)

Preference-based Reinforcement Learning with Finite-Time Guarantees. - Xu, Yichong; Wang, Ruosong; Yang, Lin F.; Singh, Aarti; Dubrawski, Artur (CoRR, 2020)

Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions. - Rastogi, Charvi; Balakrishnan, Sivaraman; Shah, Nihar B.; Singh, Aarti (CoRR, 2020)

Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessment. - Stelmakh, Ivan; Shah, Nihar B.; Singh, Aarti (CoRR, 2020)

Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review. - Stelmakh, Ivan; Shah, Nihar B.; Singh, Aarti; Daumé, Hal, III (CoRR, 2020)

A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences. - Stelmakh, Ivan; Shah, Nihar B.; Singh, Aarti; Daumé, Hal, III (CoRR, 2020)

A Large Scale Randomized Controlled Trial on Herding in Peer-Review Discussions. - Stelmakh, Ivan; Rastogi, Charvi; Shah, Nihar B.; Singh, Aarti; Daumé, Hal, III (CoRR, 2020)

Smooth Bandit Optimization: Generalization to Hölder Space. - Liu, Yusha; Wang, Yining; Singh, Aarti (CoRR, 2020)

A clustered neighbourhood consensus algorithm for a generic agent interaction protocol. - Singh, Aarti; Juneja, Dimple; Singh, Rashmi; Mukherjee, Saurabh (Int. J. Adv. Intell. Paradigms, 2019)

Rate optimal estimation and confidence intervals for high-dimensional regression with missing covariates. - Wang, Yining; Wang, Jialei; Balakrishnan, Sivaraman; Singh, Aarti (J. Multivar. Anal., 2019)

A Theoretical Analysis of Noisy Sparse Subspace Clustering on Dimensionality-Reduced Data. - Wang, Yining; Wang, Yu-Xiang; Singh, Aarti (IEEE Trans. Inf. Theory, 2019)

Optimization of Smooth Functions With Noisy Observations: Local Minimax Rates. - Wang, Yining; Balakrishnan, Sivaraman; Singh, Aarti (IEEE Trans. Inf. Theory, 2019)

Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent. - Wu, Yifan; Póczos, Barnabás; Singh, Aarti (2019)

PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review. - Stelmakh, Ivan; Shah, Nihar B.; Singh, Aarti (2019)

Gradient Descent Provably Optimizes Over-parameterized Neural Networks. - Du, Simon S.; Zhai, Xiyu; Póczos, Barnabás; Singh, Aarti (2019)

On Testing for Biases in Peer Review. - Stelmakh, Ivan; Shah, Nihar B.; Singh, Aarti (2019)

Thresholding Bandit Problem with Both Duels and Pulls. - Xu, Yichong; Chen, Xi; Singh, Aarti; Dubrawski, Artur (CoRR, 2019)

Active Learning for Graph Neural Networks via Node Feature Propagation. - Wu, Yuexin; Xu, Yichong; Singh, Aarti; Yang, Yiming; Dubrawski, Artur (CoRR, 2019)

Zeroth Order Non-convex optimization with Dueling-Choice Bandits. - Xu, Yichong; Joshi, Aparna; Singh, Aarti; Dubrawski, Artur (CoRR, 2019)

A clustering-based recommendation engine for restaurants. - Singh, Aarti; Sharma, Anu (Int. J. Adv. Intell. Paradigms, 2018)

Extreme Compressive Sampling for Covariance Estimation. - Azizyan, Martin; Krishnamurthy, Akshay; Singh, Aarti (IEEE Trans. Inf. Theory, 2018)

Interactive Linear Regression with Pairwise Comparisons. - Xu, Yichong; Balakrishnan, Sivaraman; Singh, Aarti; Dubrawski, Artur (2018)

Stochastic Zeroth-order Optimization in High Dimensions. - Wang, Yining; Du, Simon S.; Balakrishnan, Sivaraman; Singh, Aarti (2018)

Linear Quantization by Effective-Resistance Sampling. - Wang, Yining; Singh, Aarti (2018)

Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima. - Du, Simon S.; Lee, Jason D.; Tian, Yuandong; Singh, Aarti; Póczos, Barnabás (2018)

Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. - Xu, Yichong; Muthakana, Hariank; Balakrishnan, Sivaraman; Singh, Aarti; Dubrawski, Artur (2018)

How Many Samples are Needed to Estimate a Convolutional Neural Network? - Du, Simon S.; Wang, Yining; Zhai, Xiyu; Balakrishnan, Sivaraman; Salakhutdinov, Ruslan; Singh, Aarti (2018)

Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates. - Wang, Yining; Balakrishnan, Sivaraman; Singh, Aarti (2018)

Local White Matter Architecture Defines Functional Brain Dynamics. - Balakrishnan, Sivaraman; Choe, Yo Joong; Singh, Aarti; Vettel, Jean M.; Verstynen, Timothy D. (2018)

Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent. - Wu, Yifan; Póczos, Barnabás; Singh, Aarti (CoRR, 2018)

Multiresolution Representations for Piecewise-Smooth Signals on Graphs. - Chen, Siheng; Singh, Aarti; Kovacevic, Jelena (CoRR, 2018)

Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates. - Wang, Yining; Balakrishnan, Sivaraman; Singh, Aarti (CoRR, 2018)

How Many Samples are Needed to Learn a Convolutional Neural Network? - Du, Simon S.; Wang, Yining; Zhai, Xiyu; Balakrishnan, Sivaraman; Salakhutdinov, Ruslan; Singh, Aarti (CoRR, 2018)

Robust Nonparametric Regression under Huber's ε-contamination Model. - Du, Simon S.; Wang, Yining; Balakrishnan, Sivaraman; Ravikumar, Pradeep; Singh, Aarti (CoRR, 2018)

Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. - Xu, Yichong; Muthakana, Hariank; Balakrishnan, Sivaraman; Singh, Aarti; Dubrawski, Artur (CoRR, 2018)

PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review. - Stelmakh, Ivan; Shah, Nihar B.; Singh, Aarti (CoRR, 2018)

Gradient Descent Provably Optimizes Over-parameterized Neural Networks. - Du, Simon S.; Zhai, Xiyu; Póczos, Barnabás; Singh, Aarti (CoRR, 2018)

Efficient Load Sampling for Worst-Case Structural Analysis Under Force Location Uncertainty. - Wang, Yining; Ulu, Erva; Singh, Aarti; Kara, Levent Burak (CoRR, 2018)

A Thorough Insight into Theoretical and Practical Developments in MultiAgent Systems. - Juneja, Dimple; Singh, Aarti; Singh, Rashmi; Mukherjee, Saurabh (Int. J. Ambient Comput. Intell., 2017)

A novel agent based autonomous and service composition framework for cost optimization of resource provisioning in cloud computing. - Singh, Aarti; Juneja, Dimple; Malhotra, Manisha (J. King Saud Univ. Comput. Inf. Sci., 2017)

On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models. - Wang, Yining; Yu, Adams Wei; Singh, Aarti (J. Mach. Learn. Res., 2017)

Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data. - Wang, Yining; Singh, Aarti (J. Mach. Learn. Res., 2017)

Detecting Localized Categorical Attributes on Graphs. - Chen, Siheng; Yang, Yaoqing; Zong, Shi; Singh, Aarti; Kovacevic, Jelena (IEEE Trans. Signal Process., 2017)

Computationally Efficient Robust Sparse Estimation in High Dimensions. - Balakrishnan, Sivaraman; Du, Simon S.; Li, Jerry; Singh, Aarti (2017)

Near-Optimal Design of Experiments via Regret Minimization. - Allen-Zhu, Zeyuan; Li, Yuanzhi; Singh, Aarti; Wang, Yining (2017)

Uncorrelation and Evenness: a New Diversity-Promoting Regularizer. - Xie, Pengtao; Singh, Aarti; Xing, Eric P. (2017)

On the Power of Truncated SVD for General High-rank Matrix Estimation Problems. - Du, Simon S.; Wang, Yining; Singh, Aarti (2017)

Hypothesis Transfer Learning via Transformation Functions. - Du, Simon S.; Koushik, Jayanth; Singh, Aarti; Póczos, Barnabás (2017)

Gradient Descent Can Take Exponential Time to Escape Saddle Points. - Du, Simon S.; Jin, Chi; Lee, Jason D.; Jordan, Michael I.; Singh, Aarti; Póczos, Barnabás (2017)

Noise-Tolerant Interactive Learning Using Pairwise Comparisons. - Xu, Yichong; Zhang, Hongyang; Singh, Aarti; Dubrawski, Artur; Miller, Kyle (2017)

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA (PMLR, 2017)

Rate Optimal Estimation and Confidence Intervals for High-dimensional Regression with Missing Covariates. - Wang, Yining; Wang, Jialei; Balakrishnan, Sivaraman; Singh, Aarti (CoRR, 2017)

On the Power of Truncated SVD for General High-rank Matrix Estimation Problems. - Du, Simon S.; Wang, Yining; Singh, Aarti (CoRR, 2017)

Computationally Efficient Robust Estimation of Sparse Functionals. - Du, Simon S.; Balakrishnan, Sivaraman; Singh, Aarti (CoRR, 2017)

Gradient Descent Can Take Exponential Time to Escape Saddle Points. - Du, Simon S.; Jin, Chi; Lee, Jason D.; Jordan, Michael I.; Póczos, Barnabás; Singh, Aarti (CoRR, 2017)

Stochastic Zeroth-order Optimization in High Dimensions. - Wang, Yining; Du, Simon S.; Balakrishnan, Sivaraman; Singh, Aarti (CoRR, 2017)

Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach. - Allen-Zhu, Zeyuan; Li, Yuanzhi; Singh, Aarti; Wang, Yining (CoRR, 2017)

Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima. - Du, Simon S.; Lee, Jason D.; Tian, Yuandong; Póczos, Barnabás; Singh, Aarti (CoRR, 2017)

Quantifying Differences and Similarities in Whole-Brain White Matter Architecture Using Local Connectome Fingerprints. - Yeh, Fang-Cheng; Vettel, Jean M.; Singh, Aarti; Póczos, Barnabás; Grafton, Scott T.; Erickson, Kirk I.; Tseng, Wen-Yih Isaac; Verstynen, Timothy D. (PLoS Comput. Biol., 2016)

Automatic builder of class diagram (ABCD): an application of UML generation from functional requirements. - Karaa, Wahiba Ben Abdessalem; Azzouz, Zeineb Ben; Singh, Aarti; Dey, Nilanjan; Ashour, Amira S.; Ghézala, Henda Ben (Softw. Pract. Exp., 2016)

Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies. - Chen, Siheng; Varma, Rohan; Singh, Aarti; Kovacevic, Jelena (IEEE Trans. Signal Inf. Process. over Networks, 2016)

Detecting Anomalous Activity on Networks With the Graph Fourier Scan Statistic. - Sharpnack, James; Rinaldo, Alessandro; Singh, Aarti (IEEE Trans. Signal Process., 2016)

Noise-Adaptive Margin-Based Active Learning and Lower Bounds under Tsybakov Noise Condition. - Wang, Yining; Singh, Aarti (2016)

Graph Connectivity in Noisy Sparse Subspace Clustering. - Wang, Yining; Wang, Yu-Xiang; Singh, Aarti (2016)

Active Learning Algorithms for Graphical Model Selection. - Dasarathy, Gautam; Singh, Aarti; Balcan, Maria-Florina; Park, Jong Hyuk (2016)

Signal detection on graphs: Bernoulli noise model. - Chen, Siheng; Yang, Yaoqing; Singh, Aarti; Kovacevic, Jelena (2016)

Representations of piecewise smooth signals on graphs. - Chen, Siheng; Varma, Rohan; Singh, Aarti; Kovacevic, Jelena (2016)

Optimal Cluster Head Election Algorithm for Mobile Wireless Sensor Networks. - Singh, Aarti; Gupta, Kavita (2016)

Minimax lower bounds for linear independence testing. - Ramdas, Aaditya; Isenberg, David; Singh, Aarti; Wasserman, Larry A. (2016)

A statistical perspective of sampling scores for linear regression. - Chen, Siheng; Varma, Rohan; Singh, Aarti; Kovacevic, Jelena (2016)

Data Poisoning Attacks on Factorization-Based Collaborative Filtering. - Li, Bo; Wang, Yining; Singh, Aarti; Vorobeychik, Yevgeniy (2016)

Minimax Subsampling for Estimation and Prediction in Low-Dimensional Linear Regression. - Wang, Yining; Singh, Aarti (CoRR, 2016)

Minimax Lower Bounds for Linear Independence Testing. - Ramdas, Aaditya; Isenberg, David; Singh, Aarti; Wasserman, Larry A. (CoRR, 2016)

Active Learning Algorithms for Graphical Model Selection. - Dasarathy, Gautam; Singh, Aarti; Balcan, Maria-Florina; Park, Jong Hyuk (CoRR, 2016)

Classification Accuracy as a Proxy for Two Sample Testing. - Ramdas, Aaditya; Singh, Aarti; Wasserman, Larry A. (CoRR, 2016)

Detecting Structure-correlated Attributes on Graphs. - Chen, Siheng; Yang, Yaoqing; Zong, Shi; Singh, Aarti; Kovacevic, Jelena (CoRR, 2016)

Data Poisoning Attacks on Factorization-Based Collaborative Filtering. - Li, Bo; Wang, Yining; Singh, Aarti; Vorobeychik, Yevgeniy (CoRR, 2016)

A Theoretical Analysis of Noisy Sparse Subspace Clustering on Dimensionality-Reduced Data. - Wang, Yining; Wang, Yu-Xiang; Singh, Aarti (CoRR, 2016)

Transformation Function Based Methods for Model Shift. - Du, Simon Shaolei; Koushik, Jayanth; Singh, Aarti; Póczos, Barnabás (CoRR, 2016)

Agent based Resource Allocation Mechanism Focusing Cost Optimization in Cloud Computing. - Singh, Aarti; Malhotra, Manisha (Int. J. Cloud Appl. Comput., 2015)

Semantics and Agents Oriented Web Personalization: State of the Art. - Singh, Aarti; Sharma, Anu; Dey, Nilanjan (Int. J. Serv. Sci. Manag. Eng. Technol., 2015)

On the Decreasing Power of Kernel and Distance Based Nonparametric Hypothesis Tests in High Dimensions. - Ramdas, Aaditya; Reddi, Sashank Jakkam; Póczos, Barnabás; Singh, Aarti; Wasserman, Larry A. (2015)

Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures. - Azizyan, Martin; Singh, Aarti; Wasserman, Larry A. (2015)

On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives. - Reddi, Sashank J.; Ramdas, Aaditya; Póczos, Barnabás; Singh, Aarti; Wasserman, Larry A. (2015)

Column Subset Selection with Missing Data via Active Sampling. - Wang, Yining; Singh, Aarti (2015)

An empirical comparison of sampling techniques for matrix column subset selection. - Wang, Yining; Singh, Aarti (2015)

A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data. - Wang, Yining; Wang, Yu-Xiang; Singh, Aarti (2015)

Differentially private subspace clustering. - Wang, Yining; Wang, Yu-Xiang; Singh, Aarti (2015)

Clustering Consistent Sparse Subspace Clustering. - Wang, Yining; Wang, Yu-Xiang; Singh, Aarti (CoRR, 2015)

Signal Recovery on Graphs: Random versus Experimentally Designed Sampling. - Chen, Siheng; Varma, Rohan; Singh, Aarti; Kovacevic, Jelena (CoRR, 2015)

Risk Bounds For Mode Clustering. - Azizyan, Martin; Chen, Yen-Chi; Singh, Aarti; Wasserman, Larry A. (CoRR, 2015)

Algorithmic Connections Between Active Learning and Stochastic Convex Optimization. - Ramdas, Aaditya; Singh, Aarti (CoRR, 2015)

An Analysis of Active Learning With Uniform Feature Noise. - Ramdas, Aaditya; Póczos, Barnabás; Singh, Aarti; Wasserman, Larry A. (CoRR, 2015)

Provably Correct Active Sampling Algorithms for Matrix Column Subset Selection with Missing Data. - Wang, Yining; Singh, Aarti (CoRR, 2015)

Extreme Compressive Sampling for Covariance Estimation. - Azizyan, Martin; Krishnamurthy, Akshay; Singh, Aarti (CoRR, 2015)

Adaptivity and Computation-Statistics Tradeoffs for Kernel and Distance based High Dimensional Two Sample Testing. - Ramdas, Aaditya; Reddi, Sashank J.; Póczos, Barnabás; Singh, Aarti; Wasserman, Larry A. (CoRR, 2015)

Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies. - Chen, Siheng; Varma, Rohan; Singh, Aarti; Kovacevic, Jelena (CoRR, 2015)

Signal Representations on Graphs: Tools and Applications. - Chen, Siheng; Varma, Rohan; Singh, Aarti; Kovacevic, Jelena (CoRR, 2015)

Subspace learning from extremely compressed measurements. - Azizyan, Martin; Krishnamurthy, Akshay; Singh, Aarti (2014)

FuSSO: Functional Shrinkage and Selection Operator. - Oliva, Junier B.; Póczos, Barnabás; Verstynen, Timothy D.; Singh, Aarti; Schneider, Jeff G.; Yeh, Fang-Cheng; Tseng, Wen-Yih Isaac (2014)

An Analysis of Active Learning with Uniform Feature Noise. - Ramdas, Aaditya; Póczos, Barnabás; Singh, Aarti; Wasserman, Larry A. (2014)

Subspace Learning from Extremely Compressed Measurements. - Krishnamurthy, Akshay; Azizyan, Martin; Singh, Aarti (CoRR, 2014)

Kernel MMD, the Median Heuristic and Distance Correlation in High Dimensions. - Reddi, Sashank J.; Ramdas, Aaditya; Póczos, Barnabás; Singh, Aarti; Wasserman, Larry A. (CoRR, 2014)

Noise-adaptive Margin-based Active Learning for Multi-dimensional Data. - Wang, Yining; Singh, Aarti (CoRR, 2014)

On the Power of Adaptivity in Matrix Completion and Approximation. - Krishnamurthy, Akshay; Singh, Aarti (CoRR, 2014)

On the High-dimensional Power of Linear-time Kernel Two-Sample Testing under Mean-difference Alternatives. - Ramdas, Aaditya; Reddi, Sashank J.; Póczos, Barnabás; Singh, Aarti; Wasserman, Larry A. (CoRR, 2014)

Recovering graph-structured activations using adaptive compressive measurements. - Krishnamurthy, Akshay; Sharpnack, James; Singh, Aarti (2013)

Distribution-Free Distribution Regression. - Póczos, Barnabás; Singh, Aarti; Rinaldo, Alessandro; Wasserman, Larry A. (2013)

Detecting Activations over Graphs using Spanning Tree Wavelet Bases. - Sharpnack, James; Singh, Aarti; Krishnamurthy, Akshay (2013)

Changepoint Detection over Graphs with the Spectral Scan Statistic. - Sharpnack, James; Singh, Aarti; Rinaldo, Alessandro (2013)

Algorithmic Connections between Active Learning and Stochastic Convex Optimization. - Ramdas, Aaditya; Singh, Aarti (2013)

Near-optimal and computationally efficient detectors for weak and sparse graph-structured patterns. - Sharpnack, James; Singh, Aarti (2013)

Exploring the intersection of active learning and stochastic convex optimization. - Ramdas, Aaditya; Singh, Aarti (2013)

Optimal rates for stochastic convex optimization under Tsybakov noise condition. - Ramdas, Aaditya; Singh, Aarti (2013)

Low-Rank Matrix and Tensor Completion via Adaptive Sampling. - Krishnamurthy, Akshay; Singh, Aarti (2013)

Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic. - Sharpnack, James; Krishnamurthy, Akshay; Singh, Aarti (2013)

Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation. - Azizyan, Martin; Singh, Aarti; Wasserman, Larry A. (2013)

Cluster Trees on Manifolds. - Balakrishnan, Sivaraman; Narayanan, Srivatsan; Rinaldo, Alessandro; Singh, Aarti; Wasserman, Larry A. (2013)

Distribution-Free Distribution Regression - Póczos, Barnabás; Rinaldo, Alessandro; Singh, Aarti; Wasserman, Larry A. (CoRR, 2013)

Statistical Inference For Persistent Homology - Balakrishnan, Sivaraman; Fasy, Brittany; Lecci, Fabrizio; Rinaldo, Alessandro; Singh, Aarti; Wasserman, Larry A. (CoRR, 2013)

Recovering Graph-Structured Activations using Adaptive Compressive Measurements - Krishnamurthy, Akshay; Sharpnack, James; Singh, Aarti (CoRR, 2013)

Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation. - Azizyan, Martin; Singh, Aarti; Wasserman, Larry A. (CoRR, 2013)

Cluster Trees on Manifolds. - Balakrishnan, Sivaraman; Narayanan, Srivatsan; Rinaldo, Alessandro; Singh, Aarti; Wasserman, Larry A. (CoRR, 2013)

Tight Lower Bounds for Homology Inference. - Balakrishnan, Sivaraman; Rinaldo, Alessandro; Singh, Aarti; Wasserman, Larry A. (CoRR, 2013)

On the Bootstrap for Persistence Diagrams and Landscapes. - Chazal, Frédéric; Fasy, Brittany Terese; Lecci, Fabrizio; Rinaldo, Alessandro; Singh, Aarti; Wasserman, Larry A. (CoRR, 2013)

FuSSO: Functional Shrinkage and Selection Operator. - Oliva, Junier B.; Póczos, Barnabás; Verstynen, Timothy D.; Singh, Aarti; Schneider, Jeff G.; Yeh, Fang-Cheng; Tseng, Wen-Yih Isaac (CoRR, 2013)

Stability of density-based clustering. - Rinaldo, Alessandro; Singh, Aarti; Nugent, Rebecca; Wasserman, Larry A. (J. Mach. Learn. Res., 2012)

Efficient Active Algorithms for Hierarchical Clustering. - Krishnamurthy, Akshay; Balakrishnan, Sivaraman; Xu, Min; Singh, Aarti (2012)

Robust multi-source network tomography using selective probes. - Krishnamurthy, Akshay; Singh, Aarti (2012)

Subspace detection of high-dimensional vectors using compressive sampling. - Azizyan, Martin; Singh, Aarti (2012)

Minimax rates for homology inference. - Balakrishnan, Sivaraman; Rinaldo, Alessandro; Sheehy, Don; Singh, Aarti; Wasserman, Larry A. (2012)

Sparsistency of the Edge Lasso over Graphs. - Sharpnack, James; Singh, Aarti; Rinaldo, Alessandro (2012)

Density-Sensitive Semisupervised Inference - Azizyan, Martin; Singh, Aarti; Wasserman, Larry A. (CoRR, 2012)

Changepoint Detection over Graphs with the Spectral Scan Statistic - Sharpnack, James; Rinaldo, Alessandro; Singh, Aarti (CoRR, 2012)

Detecting Activations over Graphs using Spanning Tree Wavelet Bases - Krishnamurthy, Akshay; Sharpnack, James; Singh, Aarti (CoRR, 2012)

Efficient Active Algorithms for Hierarchical Clustering - Krishnamurthy, Akshay; Balakrishnan, Sivaraman; Xu, Min; Singh, Aarti (CoRR, 2012)

Optimal Stochastic Convex Optimization Through The Lens Of Active Learning - Ramdas, Aaditya; Singh, Aarti (CoRR, 2012)

Design of an Intelligent and Adaptive Mapping Mechanism for Multiagent Interface. - Singh, Aarti; Juneja, Dimple; Sharma, A. K. (2011)

Minimax Localization of Structural Information in Large Noisy Matrices. - Kolar, Mladen; Balakrishnan, Sivaraman; Rinaldo, Alessandro; Singh, Aarti (2011)

Noise Thresholds for Spectral Clustering. - Balakrishnan, Sivaraman; Xu, Min; Krishnamurthy, Akshay; Singh, Aarti (2011)

Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities. - Eriksson, Brian; Dasarathy, Gautam; Singh, Aarti; Nowak, Robert D. (2011)

Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities - Eriksson, Brian; Dasarathy, Gautam; Singh, Aarti; Nowak, Robert D. (CoRR, 2011)

Agent Development Toolkits - Singh, Aarti; Juneja, Dimple; Sharma, A. K. (CoRR, 2011)

Minimax Rates for Homology Inference - Balakrishnan, Sivaraman; Rinaldo, Alessandro; Sheehy, Don; Singh, Aarti; Wasserman, Larry A. (CoRR, 2011)

Identifying graph-structured activation patterns in networks. - Sharpnack, James; Singh, Aarti (2010)

Detecting Weak but Hierarchically-Structured Patterns in Networks. - Singh, Aarti; Nowak, Robert D.; Calderbank, A. Robert (2010)

Detecting Weak but Hierarchically-Structured Patterns in Networks - Singh, Aarti; Nowak, Robert D.; Calderbank, A. Robert (CoRR, 2010)

Multi-Manifold Semi-Supervised Learning. - Goldberg, Andrew B.; Zhu, Xiaojin; Singh, Aarti; Xu, Zhiting; Nowak, Robert D. (2009)

A Hybrid Computational Grid Architecture for Comparative Genomics. - Singh, Aarti; Chen, Chen; Liu, Weiguo; Mitchell, Wayne P.; Schmidt, Bertil (IEEE Trans. Inf. Technol. Biomed., 2008)

Adaptive Hausdorff Estimation of Density Level Sets. - Singh, Aarti; Nowak, Robert D.; Scott, Clayton D. (2008)

Delay-Differentiated Gossiping in Delay Tolerant Networks. - Ramanathan, Parameswaran; Singh, Aarti (2008)

Controlling the error in FMRI: Hypothesis testing or set estimation? - Harmany, Zachary T.; Willett, Rebecca; Singh, Aarti; Nowak, Robert D. (2008)

Unlabeled data: Now it helps, now it doesn't. - Singh, Aarti; Nowak, Robert D.; Zhu, Xiaojin (2008)

Decentralized compression and predistribution via randomized gossiping. - Rabbat, Michael G.; Haupt, Jarvis D.; Singh, Aarti; Nowak, Robert D. (2006)

Active learning for adaptive mobile sensing networks. - Singh, Aarti; Nowak, Robert D.; Ramanathan, Parameswaran (2006)

Spatial reuse through adaptive interference cancellation in multi-antenna wireless networks. - Singh, Aarti; Ramanathan, Parmesh; Veen, Barry D. Van (2005)