Aarti Singh

Orcid: 0000-0002-8278-3672

According to our database1, Aarti Singh authored at least 146 papers between 2005 and 2024.

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Bibliography

2024
Specifying and Solving Robust Empirical Risk Minimization Problems Using CVXPY.
J. Optim. Theory Appl., September, 2024

Online Learning for Dynamic Impending Collision Prediction using FMCW Radar.
ACM Trans. Internet Things, February, 2024

Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects.
CoRR, 2024

Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts.
CoRR, 2024

Understanding Preference Fine-Tuning Through the Lens of Coverage.
CoRR, 2024

Learning Social Welfare Functions.
CoRR, 2024

Hybrid Reinforcement Learning from Offline Observation Alone.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Goodhart's Law Applies to NLP's Explanation Benchmarks.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Learning Decision-Making Functions Given Cardinal and Ordinal Consensus Data.
Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023
A Novel Software Defined Radio for Practical, Mobile Crowdsourced Spectrum Sensing.
IEEE Trans. Mob. Comput., March, 2023

Deep learning powered real-time identification of insects using citizen science data.
CoRR, 2023

Predicting the Initial Conditions of the Universe using Deep Learning.
CoRR, 2023

The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms.
Proceedings of the International Conference on Machine Learning, 2023

Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality.
Proceedings of the International Conference on Machine Learning, 2023

Adaptation to Misspecified Kernel Regularity in Kernelised Bandits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Integrating Rankings into Quantized Scores in Peer Review.
Trans. Mach. Learn. Res., 2022

Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions.
J. Mach. Learn. Res., 2022

Complete Policy Regret Bounds for Tallying Bandits.
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.
Proc. ACM Hum. Comput. Interact., 2021

Near-optimal discrete optimization for experimental design: a regret minimization approach.
Math. Program., 2021

PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review.
J. Mach. Learn. Res., 2021

Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels.
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.
Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

Smooth Bandit Optimization: Generalization to Holder Space.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Best Arm Identification under Additive Transfer Bandits.
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.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessment.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information.
J. Mach. Learn. Res., 2020

A Large Scale Randomized Controlled Trial on Herding in Peer-Review Discussions.
CoRR, 2020

Zeroth Order Non-convex optimization with Dueling-Choice Bandits.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Preference-based Reinforcement Learning with Finite-Time Guarantees.
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.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Thresholding Bandit Problem with Both Duels and Pulls.
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.
IEEE Trans. Inf. Theory, 2019

Optimization of Smooth Functions With Noisy Observations: Local Minimax Rates.
IEEE Trans. Inf. Theory, 2019

Rate optimal estimation and confidence intervals for high-dimensional regression with missing covariates.
J. Multivar. Anal., 2019

A clustered neighbourhood consensus algorithm for a generic agent interaction protocol.
Int. J. Adv. Intell. Paradigms, 2019

Active Learning for Graph Neural Networks via Node Feature Propagation.
CoRR, 2019

On Testing for Biases in Peer Review.
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.
Proceedings of the 7th International Conference on Learning Representations, 2019

Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Extreme Compressive Sampling for Covariance Estimation.
IEEE Trans. Inf. Theory, 2018

A clustering-based recommendation engine for restaurants.
Int. J. Adv. Intell. Paradigms, 2018

Efficient Load Sampling for Worst-Case Structural Analysis Under Force Location Uncertainty.
CoRR, 2018

Robust Nonparametric Regression under Huber's ε-contamination Model.
CoRR, 2018

How Many Samples are Needed to Learn a Convolutional Neural Network?
CoRR, 2018

Multiresolution Representations for Piecewise-Smooth Signals on Graphs.
CoRR, 2018

Local White Matter Architecture Defines Functional Brain Dynamics.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

How Many Samples are Needed to Estimate a Convolutional Neural Network?
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.
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.
Proceedings of the 35th International Conference on Machine Learning, 2018

Linear Quantization by Effective-Resistance Sampling.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Stochastic Zeroth-order Optimization in High Dimensions.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Interactive Linear Regression with Pairwise Comparisons.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Detecting Localized Categorical Attributes on Graphs.
IEEE Trans. Signal Process., 2017

On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models.
J. Mach. Learn. Res., 2017

Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data.
J. Mach. Learn. Res., 2017

A novel agent based autonomous and service composition framework for cost optimization of resource provisioning in cloud computing.
J. King Saud Univ. Comput. Inf. Sci., 2017

A Thorough Insight into Theoretical and Practical Developments in MultiAgent Systems.
Int. J. Ambient Comput. Intell., 2017

Computationally Efficient Robust Estimation of Sparse Functionals.
CoRR, 2017

Noise-Tolerant Interactive Learning Using Pairwise Comparisons.
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.
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.
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.
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.
Proceedings of the 34th International Conference on Machine Learning, 2017

Near-Optimal Design of Experiments via Regret Minimization.
Proceedings of the 34th International Conference on Machine Learning, 2017

Computationally Efficient Robust Sparse Estimation in High Dimensions.
Proceedings of the 30th Conference on Learning Theory, 2017

2016
Detecting Anomalous Activity on Networks With the Graph Fourier Scan Statistic.
IEEE Trans. Signal Process., 2016

Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies.
IEEE Trans. Signal Inf. Process. over Networks, 2016

Automatic builder of class diagram (ABCD): an application of UML generation from functional requirements.
Softw. Pract. Exp., 2016

Quantifying Differences and Similarities in Whole-Brain White Matter Architecture Using Local Connectome Fingerprints.
PLoS Comput. Biol., 2016

Minimax Subsampling for Estimation and Prediction in Low-Dimensional Linear Regression.
CoRR, 2016

Classification Accuracy as a Proxy for Two Sample Testing.
CoRR, 2016

Transformation Function Based Methods for Model Shift.
CoRR, 2016

Detecting Structure-correlated Attributes on Graphs.
CoRR, 2016

Data Poisoning Attacks on Factorization-Based Collaborative Filtering.
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.
Proceedings of the IEEE International Symposium on Information Theory, 2016

A statistical perspective of sampling scores for linear regression.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Optimal Cluster Head Election Algorithm for Mobile Wireless Sensor Networks.
ICTCS, 2016

Representations of piecewise smooth signals on graphs.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Signal detection on graphs: Bernoulli noise model.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Graph Connectivity in Noisy Sparse Subspace Clustering.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Active Learning Algorithms for Graphical Model Selection.
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.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Semantics and Agents Oriented Web Personalization: State of the Art.
Int. J. Serv. Sci. Manag. Eng. Technol., 2015

Agent based Resource Allocation Mechanism Focusing Cost Optimization in Cloud Computing.
Int. J. Cloud Appl. Comput., 2015

Clustering Consistent Sparse Subspace Clustering.
CoRR, 2015

Provably Correct Active Sampling Algorithms for Matrix Column Subset Selection with Missing Data.
CoRR, 2015

Adaptivity and Computation-Statistics Tradeoffs for Kernel and Distance based High Dimensional Two Sample Testing.
CoRR, 2015

Signal Representations on Graphs: Tools and Applications.
CoRR, 2015

Signal Recovery on Graphs: Random versus Experimentally Designed Sampling.
CoRR, 2015

Risk Bounds For Mode Clustering.
CoRR, 2015

Differentially private subspace clustering.
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.
Proceedings of the 32nd International Conference on Machine Learning, 2015

An empirical comparison of sampling techniques for matrix column subset selection.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Column Subset Selection with Missing Data via Active Sampling.
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.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures.
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.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Noise-adaptive Margin-based Active Learning for Multi-dimensional Data.
CoRR, 2014

Kernel MMD, the Median Heuristic and Distance Correlation in High Dimensions.
CoRR, 2014

On the High-dimensional Power of Linear-time Kernel Two-Sample Testing under Mean-difference Alternatives.
CoRR, 2014

On the Power of Adaptivity in Matrix Completion and Approximation.
CoRR, 2014

An Analysis of Active Learning with Uniform Feature Noise.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

FuSSO: Functional Shrinkage and Selection Operator.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Subspace learning from extremely compressed measurements.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Statistical Inference For Persistent Homology
CoRR, 2013

On the Bootstrap for Persistence Diagrams and Landscapes.
CoRR, 2013

Tight Lower Bounds for Homology Inference.
CoRR, 2013

Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic.
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.
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.
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.
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.
Proceedings of the 30th International Conference on Machine Learning, 2013

Near-optimal and computationally efficient detectors for weak and sparse graph-structured patterns.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Exploring the intersection of active learning and stochastic convex optimization.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Algorithmic Connections between Active Learning and Stochastic Convex Optimization.
Proceedings of the Algorithmic Learning Theory - 24th International Conference, 2013

Changepoint Detection over Graphs with the Spectral Scan Statistic.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Detecting Activations over Graphs using Spanning Tree Wavelet Bases.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Distribution-Free Distribution Regression.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Recovering graph-structured activations using adaptive compressive measurements.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Sparsistency of the Edge Lasso over Graphs.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Stability of density-based clustering.
J. Mach. Learn. Res., 2012

Minimax rates for homology inference.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Optimal Stochastic Convex Optimization Through The Lens Of Active Learning
CoRR, 2012

Density-Sensitive Semisupervised Inference
CoRR, 2012

Subspace detection of high-dimensional vectors using compressive sampling.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Robust multi-source network tomography using selective probes.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Efficient Active Algorithms for Hierarchical Clustering.
Proceedings of the 29th International Conference on Machine Learning, 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

Agent Development Toolkits
CoRR, 2011

Minimax Localization of Structural Information in Large Noisy Matrices.
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.
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.
Proceedings of the High Performance Architecture and Grid Computing, 2011

2010
Detecting Weak but Hierarchically-Structured Patterns in Networks.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Identifying graph-structured activation patterns in networks.
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.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

2008
A Hybrid Computational Grid Architecture for Comparative Genomics.
IEEE Trans. Inf. Technol. Biomed., 2008

Unlabeled data: Now it helps, now it doesn't.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Controlling the error in FMRI: Hypothesis testing or set estimation?
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Delay-Differentiated Gossiping in Delay Tolerant Networks.
Proceedings of IEEE International Conference on Communications, 2008

Adaptive Hausdorff Estimation of Density Level Sets.
Proceedings of the 21st Annual Conference on Learning Theory, 2008

2006
Active learning for adaptive mobile sensing networks.
Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

Decentralized compression and predistribution via randomized gossiping.
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.
Proceedings of the Global Telecommunications Conference, 2005. GLOBECOM '05, St. Louis, Missouri, USA, 28 November, 2005


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