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ORCIDAnand D. Sarwate
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Publications
- 2024
[c75]Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa:
Low Separation Rank in Tensor Generalized Linear Models: An Asymptotic Analysis. CISS 2024: 1-6- [c74]Jose Hoyos Sanchez, Batoul Taki, Waheed U. Bajwa, Anand D. Sarwate:
Federated Learning of Tensor Generalized Linear Models with low Separation Rank. ICASSP 2024: 2136-2140 - [c73]Andrew Engel, Zhichao Wang, Natalie Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang:
Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models. ICLR 2024 - [i53]Nitya Sathyavageeswaran, Roy D. Yates, Anand D. Sarwate, Narayan B. Mandayam:
Timely Offloading in Mobile Edge Cloud Systems. CoRR abs/2405.07274 (2024) - [i52]Sinjini Banerjee, Tim Marrinan, Reilly Cannon, Tony Chiang, Anand D. Sarwate:
Measuring model variability using robust non-parametric testing. CoRR abs/2406.08307 (2024) - 2023
- [j42]Rashidul Islam, Kamrun Naher Keya, Shimei Pan, Anand D. Sarwate
, James R. Foulds:
Differential Fairness: An Intersectional Framework for Fair AI. Entropy 25(4): 660 (2023) - [j38]Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa:
Structured Low-Rank Tensors for Generalized Linear Models. Trans. Mach. Learn. Res. 2023 (2023) - [c71]Sijie Li, Prasad Krishnan, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
Computationally Efficient Codes for Adversarial Binary-Erasure Channels. ISIT 2023: 228-233 - [c70]Zhichao Wang, Andrew Engel, Anand D. Sarwate, Ioana Dumitriu, Tony Chiang:
Spectral Evolution and Invariance in Linear-width Neural Networks. NeurIPS 2023 - [i51]Andrew Engel, Zhichao Wang, Natalie S. Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang:
Robust Explanations for Deep Neural Networks via Pseudo Neural Tangent Kernel Surrogate Models. CoRR abs/2305.14585 (2023) - [i50]Eric Silk, Swarnita Chakraborty, Nairanjana Dasgupta, Anand D. Sarwate, Andrew Lumsdaine, Tony Chiang:
Minibatching Offers Improved Generalization Performance for Second Order Optimizers. CoRR abs/2307.11684 (2023) - [i49]Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa:
Structured Low-Rank Tensors for Generalized Linear Models. CoRR abs/2308.02922 (2023) - [i48]Sinjini Banerjee, Reilly Cannon, Tim Marrinan, Tony Chiang, Anand D. Sarwate:
Robust Nonparametric Hypothesis Testing to Understand Variability in Training Neural Networks. CoRR abs/2310.00541 (2023) - 2022
- [j35]Yihan Zhang, Shashank Vatedka, Sidharth Jaggi, Anand D. Sarwate:
Quadratically Constrained Myopic Adversarial Channels. IEEE Trans. Inf. Theory 68(8): 4901-4948 (2022) - [j34]Sijie Xiong, Anand D. Sarwate, Narayan B. Mandayam:
Network Traffic Shaping for Enhancing Privacy in IoT Systems. IEEE/ACM Trans. Netw. 30(3): 1162-1177 (2022) - [c69]Soo Min Kwon, Xin Li, Anand D. Sarwate:
Low-Rank Phase Retrieval with Structured Tensor Models. ICASSP 2022: 3643-3647 - [c68]Nitya Sathyavageeswaran, Roy D. Yates, Anand D. Sarwate, Narayan B. Mandayam:
Privacy Leakage in Discrete-Time Updating Systems. ISIT 2022: 2076-2081 - [c67]Yihan Zhang, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
The Capacity of Causal Adversarial Channels. ISIT 2022: 2523-2528 - [i47]Soo Min Kwon, Xin Li, Anand D. Sarwate:
Low-Rank Phase Retrieval with Structured Tensor Models. CoRR abs/2202.08260 (2022) - [i46]Yihan Zhang, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
The Capacity of Causal Adversarial Channels. CoRR abs/2205.06708 (2022) - [i45]Andrew Engel, Zhichao Wang, Anand D. Sarwate, Sutanay Choudhury, Tony Chiang:
TorchNTK: A Library for Calculation of Neural Tangent Kernels of PyTorch Models. CoRR abs/2205.12372 (2022) - [i44]Nitya Sathyavageesran, Roy D. Yates, Anand D. Sarwate, Narayan B. Mandayam:
Privacy Leakage in Discrete Time Updating Systems. CoRR abs/2205.15630 (2022) - [i43]Zhichao Wang, Andrew Engel, Anand D. Sarwate, Ioana Dumitriu, Tony Chiang:
Spectral evolution and invariance in linear-width neural networks. CoRR abs/2211.06506 (2022) - 2021
- [j30]Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate:
Coordination Through Shared Randomness. IEEE Trans. Inf. Theory 67(8): 4948-4974 (2021) - [c65]Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa:
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. ACSCC 2021: 477-484 - [c64]Aria Rezaei, Jie Gao, Anand D. Sarwate:
Influencers and the Giant Component: The Fundamental Hardness in Privacy Protection for Socially Contagious Attributes. SDM 2021: 217-225 - [i42]Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa:
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. CoRR abs/2105.14673 (2021) - [i40]Sijie Xiong, Anand D. Sarwate, Narayan B. Mandayam:
Network Traffic Shaping for Enhancing Privacy in IoT Systems. CoRR abs/2111.14992 (2021) - 2020
- [j27]Daniel M. Bittner, Alejandro E. Brito, Mohsen Ghassemi, Shantanu Rane, Anand D. Sarwate, Rebecca N. Wright:
Understanding Privacy-Utility Tradeoffs in Differentially Private Online Active Learning. J. Priv. Confidentiality 10(2) (2020) - [j26]Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms. IEEE Trans. Signal Process. 68: 33-48 (2020) - [c63]Amitalok J. Budkuley, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, Carol Wang:
Symmetrizability for Myopic AVCs. ISIT 2020: 2103-2107 - [i38]Aria Rezaei, Jie Gao, Anand D. Sarwate:
Influencers and the Giant Component: the Fundamental Hardness in Privacy Protection for Socially Contagious Attributes. CoRR abs/2012.11877 (2020) - 2019
- [j24]Tamir Hazan, Francesco Orabona, Anand D. Sarwate, Subhransu Maji, Tommi S. Jaakkola:
High Dimensional Inference With Random Maximum A-Posteriori Perturbations. IEEE Trans. Inf. Theory 65(10): 6539-6560 (2019) - [c60]Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, Carol Wang:
The Interplay of Causality and Myopia in Adversarial Channel Models. ISIT 2019: 1002-1006 - [c59]Mohsen Ghassemi, Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate:
Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning. ISIT 2019: 2294-2298 - [i37]Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms. CoRR abs/1903.09284 (2019) - [i35]Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate:
Coordination Through Shared Randomness. CoRR abs/1908.08407 (2019) - 2018
- [j23]Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
Identifiability of Kronecker-Structured Dictionaries for Tensor Data. IEEE J. Sel. Top. Signal Process. 12(5): 1047-1062 (2018) - [j21]Kousha Kalantari, Lalitha Sankar, Anand D. Sarwate:
Robust Privacy-Utility Tradeoffs Under Differential Privacy and Hamming Distortion. IEEE Trans. Inf. Forensics Secur. 13(11): 2816-2830 (2018) - [j20]Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate:
Minimax Lower Bounds on Dictionary Learning for Tensor Data. IEEE Trans. Inf. Theory 64(4): 2706-2726 (2018) - [j19]Anusha Lalitha, Tara Javidi, Anand D. Sarwate:
Social Learning and Distributed Hypothesis Testing. IEEE Trans. Inf. Theory 64(9): 6161-6179 (2018) - [c58]Daniel M. Bittner, Anand D. Sarwate, Rebecca N. Wright:
Using Noisy Binary Search for Differentially Private Anomaly Detection. CSCML 2018: 20-37 - [c57]Sijie Xiong, Anand D. Sarwate, Narayan B. Mandayam:
Defending Against Packet-Size Side-Channel Attacks in Iot Networks. ICASSP 2018: 2027-2031 - [c54]Mohsen Ghassemi, Anand D. Sarwate, Naveen Goela:
Global Optimality in Inductive Matrix Completion. ICASSP 2018: 2226-2230 - [c53]Yihan Zhang, Shashank Vatedka, Sidharth Jaggi, Anand D. Sarwate:
Quadratically Constrained Myopic Adversarial Channels. ISIT 2018: 611-615 - [c52]Tongxin Li, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
Quadratically Constrained Channels with Causal Adversaries. ISIT 2018: 621-625 - [c51]Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate:
Coordination Using Individually Shared Randomness. ISIT 2018: 2550-2554 - [i32]Yihan Zhang, Shashank Vatedka, Sidharth Jaggi, Anand D. Sarwate:
Quadratically Constrained Myopic Adversarial Channels. CoRR abs/1801.05951 (2018) - [i30]Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate:
Coordination Using Individually Shared Randomness. CoRR abs/1805.03193 (2018) - [i29]Tongxin Li, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
Quadratically Constrained Channels with Causal Adversaries. CoRR abs/1805.03319 (2018) - 2017
- [j18]Avleen Singh Bijral, Anand D. Sarwate, Nathan Srebro:
Data-Dependent Convergence for Consensus Stochastic Optimization. IEEE Trans. Autom. Control. 62(9): 4483-4498 (2017) - [c50]Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
STARK: Structured dictionary learning through rank-one tensor recovery. CAMSAP 2017: 1-5 - [c49]Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
Identification of kronecker-structured dictionaries: An asymptotic analysis. CAMSAP 2017: 1-5 - [c48]Daniel M. Bittner, Anand D. Sarwate, Rebecca N. Wright:
Differentially Private Noisy Search with Applications to Anomaly Detection (Abstract). AISec@CCS 2017: 53 - [c44]Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate:
Sample complexity bounds for dictionary learning of tensor data. ICASSP 2017: 4501-4505 - [i26]Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery. CoRR abs/1711.04887 (2017) - [i25]Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
Identifiability of Kronecker-structured Dictionaries for Tensor Data. CoRR abs/1712.03471 (2017) - 2016
- [c43]Avleen Singh Bijral, Anand D. Sarwate, Nathan Srebro:
Data-dependent bounds on network gradient descent. Allerton 2016: 869-874 - [c42]Mohsen Ghassemi, Anand D. Sarwate, Rebecca N. Wright:
Differentially Private Online Active Learning with Applications to Anomaly Detection. AISec@CCS 2016: 117-128 - [c40]Lu Wei, Anand D. Sarwate, Jukka Corander, Alfred O. Hero III, Vahid Tarokh:
Analysis of a privacy-preserving PCA algorithm using random matrix theory. GlobalSIP 2016: 1335-1339 - [c39]Sijie Xiong, Anand D. Sarwate, Narayan B. Mandayam:
Randomized requantization with local differential privacy. ICASSP 2016: 2189-2193 - [c36]Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
A bit of delay is sufficient and stochastic encoding is necessary to overcome online adversarial erasures. ISIT 2016: 880-884 - [c35]Zahra Shakeri, Waheed Uz Zaman Bajwa, Anand D. Sarwate:
Minimax lower bounds for Kronecker-structured dictionary learning. ISIT 2016: 1148-1152 - [c34]Kousha Kalantari, Lalitha Sankar, Anand D. Sarwate:
Optimal differential privacy mechanisms under Hamming distortion for structured source classes. ISIT 2016: 2069-2073 - [i23]Kousha Kalantari, Lalitha Sankar, Anand D. Sarwate:
The Optimal Differential Privacy Mechanism under Hamming Distortion for Universal Memoryless Source Classes. CoRR abs/1601.06426 (2016) - [i22]Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
The benefit of a 1-bit jump-start, and the necessity of stochastic encoding, in jamming channels. CoRR abs/1602.02384 (2016) - [i21]Tamir Hazan, Francesco Orabona, Anand D. Sarwate, Subhransu Maji, Tommi S. Jaakkola:
High Dimensional Inference with Random Maximum A-Posteriori Perturbations. CoRR abs/1602.03571 (2016) - [i20]Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate:
Minimax Lower Bounds for Kronecker-Structured Dictionary Learning. CoRR abs/1605.05284 (2016) - [i19]Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate:
Minimax Lower Bounds on Dictionary Learning for Tensor Data. CoRR abs/1608.02792 (2016) - 2015
- [j17]Chong Huang, Lalitha Sankar, Anand D. Sarwate:
Designing Incentive Schemes for Privacy-Sensitive Users. J. Priv. Confidentiality 7(1) (2015) - [j16]Anand D. Sarwate, Tara Javidi:
Distributed Learning of Distributions via Social Sampling. IEEE Trans. Autom. Control. 60(1): 34-45 (2015) - [c33]Avhishek Chatterjee, Anand D. Sarwate, Sriram Vishwanath:
Generalized opinion dynamics from local optimization rules. ACSSC 2015: 1075-1079 - [c32]Shuang Song, Kamalika Chaudhuri, Anand D. Sarwate:
Learning from Data with Heterogeneous Noise using SGD. AISTATS 2015 - [c31]Mohsen Ghassemi, Anand D. Sarwate:
Distributed proportional stochastic coordinate descent with social sampling. Allerton 2015: 17-24 - [c30]Chong Huang, Lalitha Sankar, Anand D. Sarwate:
Incentive Schemes for Privacy-Sensitive Consumers. GameSec 2015: 358-369 - [i18]Chong Huang, Lalitha Sankar, Anand D. Sarwate:
Designing Incentive Schemes For Privacy-Sensitive Users. CoRR abs/1508.01818 (2015) - 2014
- [j15]Narayana P. Santhanam, Anand D. Sarwate, Jae Oh Woo:
Redundancy of Exchangeable Estimators. Entropy 16(10): 5339-5357 (2014) - [c28]Anand D. Sarwate, Lalitha Sankar:
A rate-disortion perspective on local differential privacy. Allerton 2014: 903-908 - [c27]Francesco Orabona, Tamir Hazan, Anand D. Sarwate, Tommi S. Jaakkola:
On Measure Concentration of Random Maximum A-Posteriori Perturbations. ICML 2014: 432-440 - [c26]Anusha Lalitha, Anand D. Sarwate, Tara Javidi:
Social learning and distributed hypothesis testing. ISIT 2014: 551-555 - [c25]Konstantinos I. Tsianos, Anand D. Sarwate, Michael G. Rabbat:
Tradeoffs for task parallelization in distributed optimization. MLSP 2014: 1-6 - [i17]Narayana P. Santhanam, Anand D. Sarwate, Jae Oh Woo:
Redundancy of Exchangeable Estimators. CoRR abs/1407.5383 (2014) - [i16]Avhishek Chatterjee, Anand D. Sarwate, Sriram Vishwanath:
Generalized Opinion Dynamics from Local Optimization Rules. CoRR abs/1409.7614 (2014) - [i15]Anusha Lalitha, Tara Javidi, Anand D. Sarwate:
Social Learning and Distributed Hypothesis Testing. CoRR abs/1410.4307 (2014) - [i14]Shuang Song, Kamalika Chaudhuri, Anand D. Sarwate:
Learning from Data with Heterogeneous Noise using SGD. CoRR abs/1412.5617 (2014) - 2013
- [j13]Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha:
A near-optimal algorithm for differentially-private principal components. J. Mach. Learn. Res. 14(1): 2905-2943 (2013) - [j12]Anand D. Sarwate, Kamalika Chaudhuri:
Signal Processing and Machine Learning with Differential Privacy: Algorithms and Challenges for Continuous Data. IEEE Signal Process. Mag. 30(5): 86-94 (2013) - [j11]Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
Upper Bounds on the Capacity of Binary Channels With Causal Adversaries. IEEE Trans. Inf. Theory 59(6): 3753-3763 (2013) - [c24]Shuang Song, Kamalika Chaudhuri, Anand D. Sarwate:
Stochastic gradient descent with differentially private updates. GlobalSIP 2013: 245-248 - [c23]Vinod M. Prabhakaran, Anand D. Sarwate:
Assisted sampling of correlated sources. ISIT 2013: 3155-3159 - [c22]Sivan Sabato, Anand D. Sarwate, Nati Srebro:
Auditing: Active Learning with Outcome-Dependent Query Costs. NIPS 2013: 512-520 - [i13]Anand D. Sarwate, Tara Javidi:
Distributed Learning of Distributions via Social Sampling. CoRR abs/1305.4548 (2013) - [i12]Sivan Sabato, Anand D. Sarwate, Nathan Srebro:
Auditing: Active Learning with Outcome-Dependent Query Costs. CoRR abs/1306.2347 (2013) - [i11]Francesco Orabona, Tamir Hazan, Anand D. Sarwate, Tommi S. Jaakkola:
On Measure Concentration of Random Maximum A-Posteriori Perturbations. CoRR abs/1310.4227 (2013) - 2012
- [j10]Staal Amund Vinterbo, Anand D. Sarwate, Aziz A. Boxwala:
Protecting count queries in study design. J. Am. Medical Informatics Assoc. 19(5): 750-757 (2012) - [j9]Anand D. Sarwate, Michael Gastpar:
List-Decoding for the Arbitrarily Varying Channel Under State Constraints. IEEE Trans. Inf. Theory 58(3): 1372-1384 (2012) - [j8]Anand D. Sarwate, Alexandros G. Dimakis:
The Impact of Mobility on Gossip Algorithms. IEEE Trans. Inf. Theory 58(3): 1731-1742 (2012) - [c20]Anand D. Sarwate, Tara Javidi:
Distributed learning from social sampling. CISS 2012: 1-6 - [c19]Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
Improved upper bounds on the capacity of binary channels with causal adversaries. ISIT 2012: 681-685 - [c18]Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha:
Near-optimal Differentially Private Principal Components. NIPS 2012: 998-1006 - [i10]Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
Upper Bounds on the Capacity of Binary Channels with Causal Adversaries. CoRR abs/1204.2587 (2012) - [i9]Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha:
Near-Optimal Algorithms for Differentially-Private Principal Components. CoRR abs/1207.2812 (2012) - [i8]Anand D. Sarwate, Michael Gastpar:
Relaxing the Gaussian AVC. CoRR abs/1209.2755 (2012) - 2011
- [j7]Kamalika Chaudhuri, Claire Monteleoni, Anand D. Sarwate:
Differentially Private Empirical Risk Minimization. J. Mach. Learn. Res. 12: 1069-1109 (2011) - [c17]Anand D. Sarwate, Tara Javidi:
Opinion dynamics and distributed learning of distributions. Allerton 2011: 1151-1158 - 2010
- [j6]Anand D. Sarwate, Michael Gastpar:
A little feedback can simplify sensor network cooperation. IEEE J. Sel. Areas Commun. 28(7): 1159-1168 (2010) - [j5]Krishnan Eswaran, Anand D. Sarwate, Anant Sahai, Michael Gastpar:
Zero-rate feedback can achieve the empirical capacity. IEEE Trans. Inf. Theory 56(1): 25-39 (2010) - [j4]Anand D. Sarwate, Michael Gastpar:
Rateless codes for AVC models. IEEE Trans. Inf. Theory 56(7): 3105-3114 (2010) - [c16]Michèle A. Wigger, Anand D. Sarwate:
Linear strategies for the Gaussian MAC with user cooperation. Allerton 2010: 1046-1053 - [c15]Narayana P. Santhanam, Mokshay M. Madiman, Anand D. Sarwate:
Redundancy of exchangeable estimators. Allerton 2010: 1153-1157 - [c14]Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
Coding against delayed adversaries. ISIT 2010: 285-289 - 2009
- [j3]Tuncer C. Aysal, Mehmet E. Yildiz, Anand D. Sarwate, Anna Scaglione:
Broadcast gossip algorithms for consensus. IEEE Trans. Signal Process. 57(7): 2748-2761 (2009) - [c11]Tuncer C. Aysal, Anand D. Sarwate, Alexandros G. Dimakis:
Reaching consensus in wireless networks with probabilistic broadcast. Allerton 2009: 732-739 - [c10]Anand D. Sarwate, Alexandros G. Dimakis:
The Impact of Mobility on Gossip Algorithms. INFOCOM 2009: 2088-2096 - [c9]Anand D. Sarwate, Michael Gastpar:
Some observations on limited feedback for multiaccess channels. ISIT 2009: 394-397 - [i7]Anand D. Sarwate, Kamalika Chaudhuri, Claire Monteleoni:
Differentially Private Support Vector Machines. CoRR abs/0912.0071 (2009) - 2008
- [j2]Alexandros G. Dimakis, Anand D. Sarwate, Martin J. Wainwright:
Geographic Gossip: Efficient Averaging for Sensor Networks. IEEE Trans. Signal Process. 56(3): 1205-1216 (2008) - [c8]Tuncer C. Aysal, Mehmet E. Yildiz, Anand D. Sarwate, Anna Scaglione:
Broadcast gossip algorithms: Design and analysis for consensus. CDC 2008: 4843-4848 - [c7]Anand D. Sarwate, Michael Gastpar:
Adversarial interference models for multiantenna cooperative systems. CISS 2008: 785-790 - [c6]Anand D. Sarwate, Michael Gastpar:
Arbitrarily dirty paper coding and applications. ISIT 2008: 925-929 - [i6]Anand D. Sarwate, Alexandros G. Dimakis:
The Impact of Mobility on Gossip Algorithms. CoRR abs/0810.2513 (2008) - 2007
- [c5]Anand D. Sarwate, Michael Gastpar:
Channels with nosy "noise". ISIT 2007: 996-1000 - [c4]Krishnan Eswaran, Anand D. Sarwate, Anant Sahai, Michael Gastpar:
Using zero-rate feedback on binary additive channels with individual noise sequences. ISIT 2007: 1431-1435 - [i5]Alexandros G. Dimakis, Anand D. Sarwate, Martin J. Wainwright:
Geographic Gossip: Efficient Averaging for Sensor Networks. CoRR abs/0709.3921 (2007) - [i4]Krishnan Eswaran, Anand D. Sarwate, Anant Sahai, Michael Gastpar:
Limited feedback achieves the empirical capacity. CoRR abs/0711.0237 (2007) - [i3]Anand D. Sarwate, Michael Gastpar:
Rateless coding with partial state information at the decoder. CoRR abs/0711.3926 (2007) - [i2]Anand D. Sarwate, Michael Gastpar:
Deterministic list codes for state-constrained arbitrarily varying channels. CoRR abs/cs/0701146 (2007) - 2006
- [j1]Anand D. Sarwate, Venkat Anantharam:
Exact emulation of a priority queue with a switch and delay lines. Queueing Syst. Theory Appl. 53(3): 115-125 (2006) - [c3]Alexandros G. Dimakis, Anand D. Sarwate, Martin J. Wainwright:
Geographic gossip: efficient aggregation for sensor networks. IPSN 2006: 69-76 - [c2]Anand D. Sarwate, Michael Gastpar:
Randomization bounds on Gaussian arbitrarily varying channels. ISIT 2006: 2161-2165 - [i1]Alexandros G. Dimakis, Anand D. Sarwate, Martin J. Wainwright:
Geographic Gossip: Efficient Aggregation for Sensor Networks. CoRR abs/cs/0602071 (2006) - 2005
- [c1]Anand D. Sarwate, Michael Gastpar:
Fading observation alignment via feedback. IPSN 2005: 317-323
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