Anand D. Sarwate

192 papers A* 5A 3B 27C 1Misc 19Journal 109Unranked 28

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An information theorist's tour of differential privacy. CoRR Anand D. Sarwate, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2025	J	`jnl`	Balancing Timeliness and Privacy in Discrete-Time Updating Systems. CoRR Nitya Sathyavageeswaran, Anand D. Sarwate, Narayan B. Mandayam, Roy D. Yates
2025	Misc	`conf`	Differentially Private Distribution Estimation Using Functional Approximation. ICASSP Ye Tao, Anand D. Sarwate
2025	J	`jnl`	Differentially Private Distribution Estimation Using Functional Approximation. CoRR Ye Tao, Anand D. Sarwate
2025	—	`conf`	Federated Analysis of Neuroimaging Data Using Coinstac. ISBI Sunitha Basodi, Ross Kelly, Javier Tomas Romero, Dylan Martin, Sandeep R. Panta, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun
2025	J	`jnl`	LSR-Adapt: Ultra-Efficient Parameter Tuning with Matrix Low Separation Rank Kernel Adaptation. CoRR Xin Li, Anand D. Sarwate
2025	A*	`conf`	Learning to Help in Multi-Class Settings. ICLR Yu Wu, Yansong Li, Zeyu Dong, Nitya Sathyavageeswaran, Anand D. Sarwate
2025	J	`jnl`	Learning to Help in Multi-Class Settings. CoRR Yu Wu, Yansong Li, Zeyu Dong, Nitya Sathyavageeswaran, Anand D. Sarwate
2025	J	`jnl`	Measuring Training Variability From Stochastic Optimization Using Robust Nonparametric Testing. IEEE J. Sel. Top. Signal Process. Sinjini Banerjee, Tim Marrinan, Reilly Cannon, Tony Chiang, Anand D. Sarwate
2025	J	`jnl`	Not only a helper, but also a teacher: Interactive LLM Cascade. CoRR Yu Wu, Shuo Wu, Ye Tao, Yansong Li, Anand D. Sarwate
2025	B	`conf`	Sliding Window Adversarial Channels. ISIT Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, Yihan Zhang
2025	J	`jnl`	Sliding Window Adversarial Channels. CoRR Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, Yihan Zhang
2025	J	`jnl`	Unraveling the Localized Latents: Learning Stratified Manifold Structures in LLM Embedding Space with Sparse Mixture-of-Experts. CoRR Xin Li, Anand D. Sarwate
2024	B	`conf`	Advanced machine learning in neuroimaging studies via federated learning. IEEE Big Data Sunitha Basodi, Javier Tomas Romero, Sandeep R. Panta, Dylan Martin, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun
2024	J	`jnl`	Codes for Adversaries: Between Worst-Case and Average-Case Jamming. Found. Trends Commun. Inf. Theory Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, Yihan Zhang
2024	B	`conf`	Computationally Efficient Codes for Strongly Dobrushin-Stambler Nonsymmetrizable Oblivious AVCs. ISIT Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, Y. Zhang
2024	J	`jnl`	Cortical similarities in psychiatric and mood disorders identified in federated VBM analysis via COINSTAC. Patterns Kelly Rootes-Murdy, Sandeep R. Panta, Ross Kelly, Javier Tomas Romero, Yann Quidé, Murray J. Cairns, C. M. Loughland, Vaughan J. Carr, Stanley V. Catts, Assen Jablensky, Melissa J. Green, Frans Henskens, Dylan Kiltschewskij, Patricia T. Michie, Bryan J. Mowry, Christos Pantelis, Paul E. Rasser, William R. Reay, Ulrich Schall, Rodney J. Scott, Oliver J. Watkeys, Gloria M. P. Roberts, Philip B. Mitchell, Janice M. Fullerton, Bronwyn J. Overs, Masataka Kikuchi, Ryota Hashimoto, Junya Matsumoto, Masaki Fukunaga, Perminder S. Sachdev, Henry Brodaty, Wei Wen, Jiyang Jiang, Negar Fani, Timothy D. Ely, Adriana Lorio, Jennifer S. Stevens, Kerry J. Ressler, Tanja Jovanovic, Sanne J. H. van Rooij, Lydia M. Federmann, Christiane Jockwitz, Alexander Teumer, Andreas J. Forstner, Svenja Caspers, Sven Cichon, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun
2024	A*	`conf`	Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models. ICLR Andrew Engel, Zhichao Wang, Natalie Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang
2024	Misc	`conf`	Federated Learning of Tensor Generalized Linear Models with low Separation Rank. ICASSP Jose Hoyos Sanchez, Batoul Taki, Waheed U. Bajwa, Anand D. Sarwate
2024	B	`conf`	Federated Privacy-Preserving Visualization: A Vision Paper. IEEE Big Data Ye Tao, Anand D. Sarwate, Sandeep R. Panta, Sergey M. Plis, Vince D. Calhoun
2024	J	`jnl`	LASERS: LAtent Space Encoding for Representations with Sparsity for Generative Modeling. CoRR Xin Li, Anand D. Sarwate
2024	J	`jnl`	Learning To Help: Training Models to Assist Legacy Devices. CoRR Yu Wu, Anand D. Sarwate
2024	Misc	`conf`	Low Separation Rank in Tensor Generalized Linear Models: An Asymptotic Analysis. CISS Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa
2024	J	`jnl`	Measuring model variability using robust non-parametric testing. CoRR Sinjini Banerjee, Tim Marrinan, Reilly Cannon, Tony Chiang, Anand D. Sarwate
2024	—	`conf`	Privacy-Preserving Visualization of Brain Functional Network Connectivity. ISBI Ye Tao, Anand D. Sarwate, Sandeep R. Panta, Sergey M. Plis, Vince D. Calhoun
2024	B	`conf`	Timely Offloading in Mobile Edge Cloud Systems. ITW Nitya Sathyavageeswaran, Roy D. Yates, Anand D. Sarwate, Narayan Mandayam Rutgers
2024	J	`jnl`	Timely Offloading in Mobile Edge Cloud Systems. CoRR Nitya Sathyavageeswaran, Roy D. Yates, Anand D. Sarwate, Narayan B. Mandayam
2024	J	`jnl`	Understanding Generative AI Content with Embedding Models. CoRR Max Vargas, Reilly Cannon, Andrew Engel, Anand D. Sarwate, Tony Chiang
2023	J	`jnl`	Approximating Functions with Approximate Privacy for Applications in Signal Estimation and Learning. Entropy Naima Tasnim, Jafar Mohammadi, Anand D. Sarwate, Hafiz Imtiaz
2023	B	`conf`	Computationally Efficient Codes for Adversarial Binary-Erasure Channels. ISIT Sijie Li, Prasad Krishnan, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate
2023	J	`jnl`	Differential Fairness: An Intersectional Framework for Fair AI. Entropy Rashidul Islam, Kamrun Naher Keya, Shimei Pan, Anand D. Sarwate, James R. Foulds
2023	J	`jnl`	Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility. Frontiers Neuroinformatics Dylan Martin, Sunitha Basodi, Sandeep R. Panta, Kelly Rootes-Murdy, Paul Prae, Anand D. Sarwate, Ross Kelly, Javier Tomas Romero, Bradley T. Baker, Harshvardhan Gazula, Henry Jeremy Bockholt, Jessica A. Turner, Nathalia Bianchini Esper, Alexandre R. Franco, Sergey M. Plis, Vince D. Calhoun
2023	J	`jnl`	Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains. Neuroinformatics Harshvardhan Gazula, Kelly Rootes-Murdy, Bharath Holla, Sunitha Basodi, Zuo Zhang, Eric Verner, Ross Kelly, Pratima Murthy, Amit Chakrabarti, Debasish Basu, Subodh Bhagyalakshmi Nanjayya, Rajkumar Lenin Singh, Roshan Lourembam Singh, Kartik Kalyanram, Kamakshi Kartik, Kalyanaraman Kumaran, Krishnaveni Ghattu, Rebecca Kuriyan, Sunita Simon Kurpad, Gareth J. Barker, Rose Dawn Bharath, Sylvane Desrivières, Meera Purushottam, Dimitri Papadopoulos-Orfanos, Eesha Sharma, Matthew Hickman, Mireille Toledano, Nilakshi Vaidya, Tobias Banaschewski, Arun L. W. Bokde, Herta Flor, Antoine Grigis, Hugh Garavan, Penny A. Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère-Martinot, Eric Artiges, Frauke Nees, Tomás Paus, Luise Poustka, Juliane H. Fröhner, Lauren Robinson, Michael N. Smolka, Henrik Walter, Jeanne Winterer, Robert Whelan, Jessica A. Turner, Anand D. Sarwate, Sergey M. Plis, Vivek Benegal, Gunter Schumann, Vince D. Calhoun
2023	J	`jnl`	Minibatching Offers Improved Generalization Performance for Second Order Optimizers. CoRR Eric Silk, Swarnita Chakraborty, Nairanjana Dasgupta, Anand D. Sarwate, Andrew Lumsdaine, Tony Chiang
2023	J	`jnl`	Robust Explanations for Deep Neural Networks via Pseudo Neural Tangent Kernel Surrogate Models. CoRR Andrew Engel, Zhichao Wang, Natalie S. Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang
2023	J	`jnl`	Robust Nonparametric Hypothesis Testing to Understand Variability in Training Neural Networks. CoRR Sinjini Banerjee, Reilly Cannon, Tim Marrinan, Tony Chiang, Anand D. Sarwate
2023	A*	`conf`	Spectral Evolution and Invariance in Linear-width Neural Networks. NeurIPS Zhichao Wang, Andrew Engel, Anand D. Sarwate, Ioana Dumitriu, Tony Chiang
2023	J	`jnl`	Structured Low-Rank Tensors for Generalized Linear Models. CoRR Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa
2023	J	`jnl`	Structured Low-Rank Tensors for Generalized Linear Models. Trans. Mach. Learn. Res. Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa
2022	J	`jnl`	Decentralized Brain Age Estimation Using MRI Data. Neuroinformatics Sunitha Basodi, Rajikha Raja, Bhaskar Ray, Harshvardhan Gazula, Anand D. Sarwate, Sergey M. Plis, Jingyu Liu, Eric Verner, Vince D. Calhoun
2022	J	`jnl`	Federated Analysis of Neuroimaging Data: A Review of the Field. Neuroinformatics Kelly Rootes-Murdy, Harshvardhan Gazula, Eric Verner, Ross Kelly, Thomas DeRamus, Sergey M. Plis, Anand D. Sarwate, Jessica A. Turner, Vince D. Calhoun
2022	Misc	`conf`	Low-Rank Phase Retrieval with Structured Tensor Models. ICASSP Soo Min Kwon, Xin Li, Anand D. Sarwate
2022	J	`jnl`	Low-Rank Phase Retrieval with Structured Tensor Models. CoRR Soo Min Kwon, Xin Li, Anand D. Sarwate
2022	J	`jnl`	Network Traffic Shaping for Enhancing Privacy in IoT Systems. IEEE/ACM Trans. Netw. Sijie Xiong, Anand D. Sarwate, Narayan B. Mandayam
2022	J	`jnl`	Privacy Leakage in Discrete Time Updating Systems. CoRR Nitya Sathyavageesran, Roy D. Yates, Anand D. Sarwate, Narayan B. Mandayam
2022	B	`conf`	Privacy Leakage in Discrete-Time Updating Systems. ISIT Nitya Sathyavageeswaran, Roy D. Yates, Anand D. Sarwate, Narayan B. Mandayam
2022	Misc	`conf`	Privid: Practical, Privacy-Preserving Video Analytics Queries. NSDI Frank Cangialosi, Neil Agarwal, Venkat Arun, Junchen Jiang, Srinivas Narayana, Anand D. Sarwate, Ravi Netravali
2022	J	`jnl`	Quadratically Constrained Myopic Adversarial Channels. IEEE Trans. Inf. Theory Yihan Zhang, Shashank Vatedka, Sidharth Jaggi, Anand D. Sarwate
2022	J	`jnl`	Spectral evolution and invariance in linear-width neural networks. CoRR Zhichao Wang, Andrew Engel, Anand D. Sarwate, Ioana Dumitriu, Tony Chiang
2022	B	`conf`	The Capacity of Causal Adversarial Channels. ISIT Yihan Zhang, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate
2022	J	`jnl`	The Capacity of Causal Adversarial Channels. CoRR Yihan Zhang, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate
2022	J	`jnl`	TorchNTK: A Library for Calculation of Neural Tangent Kernels of PyTorch Models. CoRR Andrew Engel, Zhichao Wang, Anand D. Sarwate, Sutanay Choudhury, Tony Chiang
2021	J	`jnl`	A Correlated Noise-Assisted Decentralized Differentially Private Estimation Protocol, and its Application to fMRI Source Separation. IEEE Trans. Signal Process. Hafiz Imtiaz, Jafar Mohammadi, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun
2021	—	`conf`	A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. ACSCC Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa
2021	J	`jnl`	A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. CoRR Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa
2021	J	`jnl`	Coordination Through Shared Randomness. IEEE Trans. Inf. Theory Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate
2021	J	`jnl`	Decentralized Multisite VBM Analysis During Adolescence Shows Structural Changes Linked to Age, Body Mass Index, and Smoking: a COINSTAC Analysis. Neuroinformatics Harshvardhan Gazula, Bharath Holla, Zuo Zhang, Jiayuan Xu, Eric Verner, Ross Kelly, Sanjeev Jain, Rose Dawn Bharath, Gareth J. Barker, Debasish Basu, Amit Chakrabarti, Kartik Kalyanram, Kalyanaraman Kumaran, Rajkumar Lenin Singh, Rebecca Kuriyan, Pratima Murthy, Vivek Benega, Sergey M. Plis, Anand D. Sarwate, Jessica A. Turner, Gunter Schumann, Vince D. Calhoun
2021	A	`conf`	Influencers and the Giant Component: The Fundamental Hardness in Privacy Protection for Socially Contagious Attributes. SDM Aria Rezaei, Jie Gao, Anand D. Sarwate
2021	J	`jnl`	Network Traffic Shaping for Enhancing Privacy in IoT Systems. CoRR Sijie Xiong, Anand D. Sarwate, Narayan B. Mandayam
2021	J	`jnl`	Predictive Learning on Hidden Tree-Structured Ising Models. J. Mach. Learn. Res. Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
2021	J	`jnl`	Privid: Practical, Privacy-Preserving Video Analytics Queries. CoRR Frank Cangialosi, Neil Agarwal, Venkat Arun, Junchen Jiang, Srinivas Narayana, Anand D. Sarwate, Ravi Netravali
2021	J	`jnl`	Quantile Multi-Armed Bandits: Optimal Best-Arm Identification and a Differentially Private Scheme. IEEE J. Sel. Areas Inf. Theory Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Or Sheffet, Anand D. Sarwate
2020	J	`jnl`	Best-Arm Identification for Quantile Bandits with Privacy. CoRR Dionysios S. Kalogerias, Konstantinos E. Nikolakakis, Anand D. Sarwate, Or Sheffet
2020	J	`jnl`	COINSTAC: Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation. J. Open Source Softw. Harshvardhan Gazula, Ross Kelly, Javier Tomas Romero, Eric Verner, Bradley T. Baker, Rogers F. Silva, Hafiz Imtiaz, Debbrata K. Saha, Rajikha Raja, Jessica A. Turner, Anand D. Sarwate, Sergey M. Plis, Vince D. Calhoun
2020	J	`jnl`	Influencers and the Giant Component: the Fundamental Hardness in Privacy Protection for Socially Contagious Attributes. CoRR Aria Rezaei, Jie Gao, Anand D. Sarwate
2020	J	`jnl`	Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms. IEEE Trans. Signal Process. Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
2020	B	`conf`	Symmetrizability for Myopic AVCs. ISIT Amitalok J. Budkuley, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, Carol Wang
2020	J	`jnl`	Understanding Privacy-Utility Tradeoffs in Differentially Private Online Active Learning. J. Priv. Confidentiality Daniel M. Bittner, Alejandro E. Brito, Mohsen Ghassemi, Shantanu Rane, Anand D. Sarwate, Rebecca N. Wright
2019	J	`jnl`	Coordination Through Shared Randomness. CoRR Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate
2019	J	`jnl`	Decentralized temporal independent component analysis: Leveraging fMRI data in collaborative settings. NeuroImage Bradley T. Baker, Anees Abrol, Rogers F. Silva, Eswar Damaraju, Anand D. Sarwate, Vince D. Calhoun, Sergey M. Plis
2019	J	`jnl`	Distributed Differentially Private Computation of Functions with Correlated Noise. CoRR Hafiz Imtiaz, Jafar Mohammadi, Anand D. Sarwate
2019	Misc	`conf`	Distributed Differentially-private Canonical Correlation Analysis. ICASSP Hafiz Imtiaz, Anand D. Sarwate
2019	J	`jnl`	High Dimensional Inference With Random Maximum A-Posteriori Perturbations. IEEE Trans. Inf. Theory Tamir Hazan, Francesco Orabona, Anand D. Sarwate, Subhransu Maji, Tommi S. Jaakkola
2019	J	`jnl`	Improved Differentially Private Decentralized Source Separation for fMRI Data. CoRR Hafiz Imtiaz, Jafar Mohammadi, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun
2019	J	`jnl`	Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms. CoRR Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
2019	A	`conf`	Learning Tree Structures from Noisy Data. AISTATS Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
2019	J	`jnl`	Non-Parametric Structure Learning on Hidden Tree-Shaped Distributions. CoRR Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
2019	B	`conf`	Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning. ISIT Mohsen Ghassemi, Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
2019	B	`conf`	The Interplay of Causality and Myopia in Adversarial Channel Models. ISIT Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, Carol Wang
2018	B	`conf`	Coordination Using Individually Shared Randomness. ISIT Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate
2018	J	`jnl`	Coordination Using Individually Shared Randomness. CoRR Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate
2018	Misc	`conf`	Defending Against Packet-Size Side-Channel Attacks in Iot Networks. ICASSP Sijie Xiong, Anand D. Sarwate, Narayan B. Mandayam
2018	Misc	`conf`	Differentially Private Distributed Principal Component Analysis. ICASSP Hafiz Imtiaz, Anand D. Sarwate
2018	J	`jnl`	Distributed Differentially Private Algorithms for Matrix and Tensor Factorization. IEEE J. Sel. Top. Signal Process. Hafiz Imtiaz, Anand D. Sarwate
2018	J	`jnl`	Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization. CoRR Hafiz Imtiaz, Anand D. Sarwate
2018	Misc	`conf`	Global Optimality in Inductive Matrix Completion. ICASSP Mohsen Ghassemi, Anand D. Sarwate, Naveen Goela
2018	J	`jnl`	Identifiability of Kronecker-Structured Dictionaries for Tensor Data. IEEE J. Sel. Top. Signal Process. Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
2018	Misc	`conf`	Improved Algorithms for Differentially Private Orthogonal Tensor Decomposition. ICASSP Hafiz Imtiaz, Anand D. Sarwate
2018	J	`jnl`	Minimax Lower Bounds on Dictionary Learning for Tensor Data. IEEE Trans. Inf. Theory Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
2018	J	`jnl`	Predictive Learning on Sign-Valued Hidden Markov Trees. CoRR Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
2018	B	`conf`	Quadratically Constrained Channels with Causal Adversaries. ISIT Tongxin Li, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate
2018	J	`jnl`	Quadratically Constrained Channels with Causal Adversaries. CoRR Tongxin Li, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate
2018	B	`conf`	Quadratically Constrained Myopic Adversarial Channels. ISIT Yihan Zhang, Shashank Vatedka, Sidharth Jaggi, Anand D. Sarwate
2018	J	`jnl`	Quadratically Constrained Myopic Adversarial Channels. CoRR Yihan Zhang, Shashank Vatedka, Sidharth Jaggi, Anand D. Sarwate
2018	J	`jnl`	Robust Privacy-Utility Tradeoffs Under Differential Privacy and Hamming Distortion. IEEE Trans. Inf. Forensics Secur. Kousha Kalantari, Lalitha Sankar, Anand D. Sarwate
2018	J	`jnl`	Social Learning and Distributed Hypothesis Testing. IEEE Trans. Inf. Theory Anusha Lalitha, Tara Javidi, Anand D. Sarwate
2018	—	`conf`	Using Noisy Binary Search for Differentially Private Anomaly Detection. CSCML Daniel M. Bittner, Anand D. Sarwate, Rebecca N. Wright
2017	C	`conf`	A Unified Optimization Approach for Sparse Tensor Operations on GPUs. CLUSTER Bangtian Liu, Chengyao Wen, Anand D. Sarwate, Maryam Mehri Dehnavi
2017	J	`jnl`	A Unified Optimization Approach for Sparse Tensor Operations on GPUs. CoRR Bangtian Liu, Chengyao Wen, Anand D. Sarwate, Maryam Mehri Dehnavi
2017	J	`jnl`	COINSTAC: Decentralizing the future of brain imaging analysis. F1000Research Jing Ming, Eric Verner, Anand D. Sarwate, Ross Kelly, Cory Reed, Torran Kahleck, Rogers F. Silva, Sandeep R. Panta, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun
2017	J	`jnl`	Data-Dependent Convergence for Consensus Stochastic Optimization. IEEE Trans. Autom. Control. Avleen Singh Bijral, Anand D. Sarwate, Nathan Srebro
2017	Misc	`conf`	Decentralized independent vector analysis. ICASSP Nikolas P. Wojtalewicz, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis
2017	—	`conf`	Differentially Private Noisy Search with Applications to Anomaly Detection (Abstract). AISec@CCS Daniel M. Bittner, Anand D. Sarwate, Rebecca N. Wright
2017	—	`conf`	Differentially-private canonical correlation analysis. GlobalSIP Hafiz Imtiaz, Anand D. Sarwate
2017	J	`jnl`	Identifiability of Kronecker-structured Dictionaries for Tensor Data. CoRR Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
2017	—	`conf`	Identification of kronecker-structured dictionaries: An asymptotic analysis. CAMSAP Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
2017	J	`jnl`	STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery. CoRR Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
2017	—	`conf`	STARK: Structured dictionary learning through rank-one tensor recovery. CAMSAP Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
2017	Misc	`conf`	Sample complexity bounds for dictionary learning of tensor data. ICASSP Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
2016	B	`conf`	A bit of delay is sufficient and stochastic encoding is necessary to overcome online adversarial erasures. ISIT Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate
2016	—	`conf`	Analysis of a privacy-preserving PCA algorithm using random matrix theory. GlobalSIP Lu Wei, Anand D. Sarwate, Jukka Corander, Alfred O. Hero III, Vahid Tarokh
2016	—	`conf`	Data-dependent bounds on network gradient descent. Allerton Avleen Singh Bijral, Anand D. Sarwate, Nathan Srebro
2016	Misc	`conf`	Data-weighted ensemble learning for privacy-preserving distributed learning. ICASSP Liyang Xie, Sergey M. Plis, Anand D. Sarwate
2016	—	`conf`	Differentially Private Online Active Learning with Applications to Anomaly Detection. AISec@CCS Mohsen Ghassemi, Anand D. Sarwate, Rebecca N. Wright
2016	J	`jnl`	High Dimensional Inference with Random Maximum A-Posteriori Perturbations. CoRR Tamir Hazan, Francesco Orabona, Anand D. Sarwate, Subhransu Maji, Tommi S. Jaakkola
2016	J	`jnl`	Minimax Lower Bounds for Kronecker-Structured Dictionary Learning. CoRR Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
2016	J	`jnl`	Minimax Lower Bounds on Dictionary Learning for Tensor Data. CoRR Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
2016	B	`conf`	Minimax lower bounds for Kronecker-structured dictionary learning. ISIT Zahra Shakeri, Waheed Uz Zaman Bajwa, Anand D. Sarwate
2016	B	`conf`	Optimal differential privacy mechanisms under Hamming distortion for structured source classes. ISIT Kousha Kalantari, Lalitha Sankar, Anand D. Sarwate
2016	Misc	`conf`	Privacy-preserving source separation for distributed data using independent component analysis. CISS Hafiz Imtiaz, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun
2016	Misc	`conf`	Randomized requantization with local differential privacy. ICASSP Sijie Xiong, Anand D. Sarwate, Narayan B. Mandayam
2016	Misc	`conf`	Symmetric matrix perturbation for differentially-private principal component analysis. ICASSP Hafiz Imtiaz, Anand D. Sarwate
2016	J	`jnl`	The Optimal Differential Privacy Mechanism under Hamming Distortion for Universal Memoryless Source Classes. CoRR Kousha Kalantari, Lalitha Sankar, Anand D. Sarwate
2016	J	`jnl`	The benefit of a 1-bit jump-start, and the necessity of stochastic encoding, in jamming channels. CoRR Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate
2015	J	`jnl`	Designing Incentive Schemes For Privacy-Sensitive Users. CoRR Chong Huang, Lalitha Sankar, Anand D. Sarwate
2015	J	`jnl`	Designing Incentive Schemes for Privacy-Sensitive Users. J. Priv. Confidentiality Chong Huang, Lalitha Sankar, Anand D. Sarwate
2015	J	`jnl`	Distributed Learning of Distributions via Social Sampling. IEEE Trans. Autom. Control. Anand D. Sarwate, Tara Javidi
2015	—	`conf`	Distributed proportional stochastic coordinate descent with social sampling. Allerton Mohsen Ghassemi, Anand D. Sarwate
2015	Misc	`conf`	Generalized opinion dynamics from local optimization rules. ACSSC Avhishek Chatterjee, Anand D. Sarwate, Sriram Vishwanath
2015	—	`conf`	Incentive Schemes for Privacy-Sensitive Consumers. GameSec Chong Huang, Lalitha Sankar, Anand D. Sarwate
2015	—	`conf`	Large scale collaboration with autonomy: Decentralized data ICA. MLSP Bradley T. Baker, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis
2015	A	`conf`	Learning from Data with Heterogeneous Noise using SGD. AISTATS Shuang Song, Kamalika Chaudhuri, Anand D. Sarwate
2014	—	`conf`	A rate-disortion perspective on local differential privacy. Allerton Anand D. Sarwate, Lalitha Sankar
2014	J	`jnl`	Generalized Opinion Dynamics from Local Optimization Rules. CoRR Avhishek Chatterjee, Anand D. Sarwate, Sriram Vishwanath
2014	J	`jnl`	Learning from Data with Heterogeneous Noise using SGD. CoRR Shuang Song, Kamalika Chaudhuri, Anand D. Sarwate
2014	A*	`conf`	On Measure Concentration of Random Maximum A-Posteriori Perturbations. ICML Francesco Orabona, Tamir Hazan, Anand D. Sarwate, Tommi S. Jaakkola
2014	J	`jnl`	Redundancy of Exchangeable Estimators. CoRR Narayana P. Santhanam, Anand D. Sarwate, Jae Oh Woo
2014	J	`jnl`	Redundancy of Exchangeable Estimators. Entropy Narayana P. Santhanam, Anand D. Sarwate, Jae Oh Woo
2014	J	`jnl`	Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation. Frontiers Neuroinformatics Anand D. Sarwate, Sergey M. Plis, Jessica A. Turner, Mohammad Arbabshirani, Vince D. Calhoun
2014	J	`jnl`	Social Learning and Distributed Hypothesis Testing. CoRR Anusha Lalitha, Tara Javidi, Anand D. Sarwate
2014	B	`conf`	Social learning and distributed hypothesis testing. ISIT Anusha Lalitha, Anand D. Sarwate, Tara Javidi
2014	—	`conf`	Tradeoffs for task parallelization in distributed optimization. MLSP Konstantinos I. Tsianos, Anand D. Sarwate, Michael G. Rabbat
2013	J	`jnl`	A near-optimal algorithm for differentially-private principal components. J. Mach. Learn. Res. Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha
2013	B	`conf`	Assisted sampling of correlated sources. ISIT Vinod M. Prabhakaran, Anand D. Sarwate
2013	—	`conf`	Auditing: Active Learning with Outcome-Dependent Query Costs. NIPS Sivan Sabato, Anand D. Sarwate, Nati Srebro
2013	J	`jnl`	Auditing: Active Learning with Outcome-Dependent Query Costs. CoRR Sivan Sabato, Anand D. Sarwate, Nathan Srebro
2013	J	`jnl`	Distributed Learning of Distributions via Social Sampling CoRR Anand D. Sarwate, Tara Javidi
2013	J	`jnl`	On Measure Concentration of Random Maximum A-Posteriori Perturbations. CoRR Francesco Orabona, Tamir Hazan, Anand D. Sarwate, Tommi S. Jaakkola
2013	J	`jnl`	Signal Processing and Machine Learning with Differential Privacy: Algorithms and Challenges for Continuous Data. IEEE Signal Process. Mag. Anand D. Sarwate, Kamalika Chaudhuri
2013	—	`conf`	Stochastic gradient descent with differentially private updates. GlobalSIP Shuang Song, Kamalika Chaudhuri, Anand D. Sarwate
2013	J	`jnl`	Upper Bounds on the Capacity of Binary Channels With Causal Adversaries. IEEE Trans. Inf. Theory Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate
2012	Misc	`conf`	Distributed learning from social sampling. CISS Anand D. Sarwate, Tara Javidi
2012	B	`conf`	Improved upper bounds on the capacity of binary channels with causal adversaries. ISIT Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate
2012	J	`jnl`	List-Decoding for the Arbitrarily Varying Channel Under State Constraints. IEEE Trans. Inf. Theory Anand D. Sarwate, Michael Gastpar
2012	—	`conf`	Merging opinions by social sampling of posteriors. Allerton Conference Anand D. Sarwate
2012	J	`jnl`	Near-Optimal Algorithms for Differentially-Private Principal Components CoRR Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha
2012	—	`conf`	Near-optimal Differentially Private Principal Components. NIPS Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha
2012	J	`jnl`	Protecting count queries in study design. J. Am. Medical Informatics Assoc. Staal Amund Vinterbo, Anand D. Sarwate, Aziz A. Boxwala
2012	J	`jnl`	Relaxing the Gaussian AVC CoRR Anand D. Sarwate, Michael Gastpar
2012	J	`jnl`	The Impact of Mobility on Gossip Algorithms. IEEE Trans. Inf. Theory Anand D. Sarwate, Alexandros G. Dimakis
2012	J	`jnl`	Upper Bounds on the Capacity of Binary Channels with Causal Adversaries CoRR Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate
2011	J	`jnl`	Differentially Private Empirical Risk Minimization. J. Mach. Learn. Res. Kamalika Chaudhuri, Claire Monteleoni, Anand D. Sarwate
2011	—	`conf`	Opinion dynamics and distributed learning of distributions. Allerton Anand D. Sarwate, Tara Javidi
2010	J	`jnl`	A little feedback can simplify sensor network cooperation. IEEE J. Sel. Areas Commun. Anand D. Sarwate, Michael Gastpar
2010	B	`conf`	Coding against delayed adversaries. ISIT Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate
2010	B	`conf`	Coding against myopic adversaries. ITW Anand D. Sarwate
2010	—	`conf`	Linear strategies for the Gaussian MAC with user cooperation. Allerton Michèle A. Wigger, Anand D. Sarwate
2010	J	`jnl`	Rateless codes for AVC models. IEEE Trans. Inf. Theory Anand D. Sarwate, Michael Gastpar
2010	—	`conf`	Redundancy of exchangeable estimators. Allerton Narayana P. Santhanam, Mokshay M. Madiman, Anand D. Sarwate
2010	—	`conf`	Single-Ballot Risk-Limiting Audits Using Convex Optimization. EVT/WOTE Stephen Checkoway, Anand D. Sarwate
2010	J	`jnl`	Zero-rate feedback can achieve the empirical capacity. IEEE Trans. Inf. Theory Krishnan Eswaran, Anand D. Sarwate, Anant Sahai, Michael Gastpar
2009	J	`jnl`	Broadcast gossip algorithms for consensus. IEEE Trans. Signal Process. Tuncer C. Aysal, Mehmet E. Yildiz, Anand D. Sarwate, Anna Scaglione
2009	J	`jnl`	Differentially Private Support Vector Machines CoRR Anand D. Sarwate, Kamalika Chaudhuri, Claire Monteleoni
2009	—	`conf`	Reaching consensus in wireless networks with probabilistic broadcast. Allerton Tuncer C. Aysal, Anand D. Sarwate, Alexandros G. Dimakis
2009	B	`conf`	Some observations on limited feedback for multiaccess channels. ISIT Anand D. Sarwate, Michael Gastpar
2009	A*	`conf`	The Impact of Mobility on Gossip Algorithms. INFOCOM Anand D. Sarwate, Alexandros G. Dimakis
2008	Misc	`conf`	Adversarial interference models for multiantenna cooperative systems. CISS Anand D. Sarwate, Michael Gastpar
2008	B	`conf`	Arbitrarily dirty paper coding and applications. ISIT Anand D. Sarwate, Michael Gastpar
2008	—	`conf`	Broadcast gossip algorithms: Design and analysis for consensus. CDC Tuncer C. Aysal, Mehmet E. Yildiz, Anand D. Sarwate, Anna Scaglione
2008	J	`jnl`	Geographic Gossip: Efficient Averaging for Sensor Networks. IEEE Trans. Signal Process. Alexandros G. Dimakis, Anand D. Sarwate, Martin J. Wainwright
2008	J	`jnl`	The Impact of Mobility on Gossip Algorithms CoRR Anand D. Sarwate, Alexandros G. Dimakis
2007	B	`conf`	Channels with nosy "noise". ISIT Anand D. Sarwate, Michael Gastpar
2007	J	`jnl`	Deterministic list codes for state-constrained arbitrarily varying channels CoRR Anand D. Sarwate, Michael Gastpar
2007	J	`jnl`	Geographic Gossip: Efficient Averaging for Sensor Networks CoRR Alexandros G. Dimakis, Anand D. Sarwate, Martin J. Wainwright
2007	J	`jnl`	Limited feedback achieves the empirical capacity CoRR Krishnan Eswaran, Anand D. Sarwate, Anant Sahai, Michael Gastpar
2007	J	`jnl`	Rateless coding with partial state information at the decoder CoRR Anand D. Sarwate, Michael Gastpar
2007	B	`conf`	Using zero-rate feedback on binary additive channels with individual noise sequences. ISIT Krishnan Eswaran, Anand D. Sarwate, Anant Sahai, Michael Gastpar
2006	J	`jnl`	Exact emulation of a priority queue with a switch and delay lines. Queueing Syst. Theory Appl. Anand D. Sarwate, Venkat Anantharam
2006	J	`jnl`	Geographic Gossip: Efficient Aggregation for Sensor Networks CoRR Alexandros G. Dimakis, Anand D. Sarwate, Martin J. Wainwright
2006	—	`conf`	Geographic gossip: efficient aggregation for sensor networks. IPSN Alexandros G. Dimakis, Anand D. Sarwate, Martin J. Wainwright
2006	B	`conf`	Randomization bounds on Gaussian arbitrarily varying channels. ISIT Anand D. Sarwate, Michael Gastpar
2005	—	`conf`	Fading observation alignment via feedback. IPSN Anand D. Sarwate, Michael Gastpar