default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSanjeev R. Kulkarni
Person information
- affiliation: Princeton University, USA
SPARQL queries 
🛈 Please note that only 73% of the records listed on this page have a DOI. Therefore, DOI-based queries can only provide partial results.
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j85]Kun Yang, Mohammad Mohammadi Amiri, Sanjeev R. Kulkarni:
Greedy centroid initialization for federated K-means. Knowl. Inf. Syst. 66(6): 3393-3425 (2024)- [c85]Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra:
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. AISTATS 2024: 2746-2754 - [i51]Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas
, Hamed Hassani, Aritra Mitra:
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. CoRR abs/2402.11800 (2024) - [i50]Nicolò Dal Fabbro, Arman Adibi, H. Vincent Poor, Sanjeev R. Kulkarni, Aritra Mitra, George J. Pappas:
DASA: Delay-Adaptive Multi-Agent Stochastic Approximation. CoRR abs/2403.17247 (2024) - 2023
- [c84]Kun Yang, Mohammad Mohammadi Amiri, Sanjeev R. Kulkarni:
Greedy Centroid Initialization for Federated K-means. CISS 2023: 1-6 - [i49]Zhixu Tao, Kun Yang, Sanjeev R. Kulkarni:
Byzantine-Robust Clustered Federated Learning. CoRR abs/2306.00638 (2023) - [i48]Soham Jana, Kun Yang, Sanjeev R. Kulkarni:
Adversarially robust clustering with optimality guarantees. CoRR abs/2306.09977 (2023) - [i47]Pengcheng Fang, Peng Gao, Yun Peng, Qingzhao Zhang, Tao Xie, Dawn Song, Prateek Mittal, Sanjeev R. Kulkarni, Zhuotao Liu, Xusheng Xiao:
CONTRACTFIX: A Framework for Automatically Fixing Vulnerabilities in Smart Contracts. CoRR abs/2307.08912 (2023) - [i46]Viraj Nadkarni, Jiachen Hu, Ranvir Rana, Chi Jin, Sanjeev R. Kulkarni, Pramod Viswanath:
ZeroSwap: Data-driven Optimal Market Making in DeFi. CoRR abs/2310.09413 (2023) - 2022
- [j84]Mohammad Mohammadi Amiri, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor:
Convergence of Federated Learning Over a Noisy Downlink. IEEE Trans. Wirel. Commun. 21(3): 1422-1437 (2022) - 2021
- [j83]Mohammad Mohammadi Amiri, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor:
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge. IEEE Trans. Wirel. Commun. 20(6): 3643-3658 (2021) - [j82]Mohammad Mohammadi Amiri, Tolga M. Duman, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor:
Blind Federated Edge Learning. IEEE Trans. Wirel. Commun. 20(8): 5129-5143 (2021) - [c83]Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song:
Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence. ICDE 2021: 193-204 - [c82]Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Haoyuan Liu, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song:
A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence. ICDE 2021: 2705-2708 - [c81]Mohammad Mohammadi Amiri, Sanjeev R. Kulkarni, H. Vincent Poor:
Federated Learning with Downlink Device Selection. SPAWC 2021: 306-310 - [i45]Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Haoyuan Liu, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song:
A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence. CoRR abs/2101.06761 (2021) - [i44]Mohammad Mohammadi Amiri, Sanjeev R. Kulkarni, H. Vincent Poor:
Federated Learning with Downlink Device Selection. CoRR abs/2107.03510 (2021) - 2020
- [j81]Emmanuel Abbe, Sanjeev R. Kulkarni, Eun Jee Lee:
Generalized Nonbacktracking Bounds on the Influence. J. Mach. Learn. Res. 21: 31:1-31:36 (2020) - [c80]Peng Gao, Xusheng Xiao, Ding Li, Kangkook Jee, Haifeng Chen, Sanjeev R. Kulkarni, Prateek Mittal:
Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection. ICDE 2020: 1774-1777 - [c79]Mohammad Mohammadi Amiri, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor:
Update Aware Device Scheduling for Federated Learning at the Wireless Edge. ISIT 2020: 2598-2603 - [i43]Mohammad Mohammadi Amiri, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor:
Update Aware Device Scheduling for Federated Learning at the Wireless Edge. CoRR abs/2001.10402 (2020) - [i42]Mohammad Mohammadi Amiri, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor:
Federated Learning With Quantized Global Model Updates. CoRR abs/2006.10672 (2020) - [i41]Mohammad Mohammadi Amiri, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor:
Convergence of Federated Learning over a Noisy Downlink. CoRR abs/2008.11141 (2020) - [i40]Mohammad Mohammadi Amiri, Tolga M. Duman, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor:
Blind Federated Edge Learning. CoRR abs/2010.10030 (2020) - [i39]Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song:
Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence. CoRR abs/2010.13637 (2020)
2010 – 2019
- 2019
- [j80]Peng Gao, Xusheng Xiao, Zhichun Li, Kangkook Jee, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal:
A Query System for Efficiently Investigating Complex Attack Behaviors for Enterprise Security. Proc. VLDB Endow. 12(12): 1802-1805 (2019) - [i38]Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal:
A Stream-based Query System for Efficiently Detecting Abnormal System Behaviors for Enterprise Security. CoRR abs/1903.08159 (2019) - 2018
- [c78]Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal:
SYBILFUSE: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. CNS 2018: 1-9 - [c77]Peng Gao, Xusheng Xiao, Zhichun Li, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal:
AIQL: Enabling Efficient Attack Investigation from System Monitoring Data. USENIX ATC 2018: 113-126 - [c76]Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal:
SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection. USENIX Security Symposium 2018: 639-656 - [i37]Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal:
SybilFuse: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. CoRR abs/1803.06772 (2018) - [i36]Peng Gao, Xusheng Xiao, Zhichun Li, Kangkook Jee, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal:
AIQL: Enabling Efficient Attack Investigation from System Monitoring Data. CoRR abs/1806.02290 (2018) - [i35]Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal:
SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection. CoRR abs/1806.09339 (2018) - [i34]Peng Gao, Xusheng Xiao, Zhichun Li, Kangkook Jee, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal:
A Query Tool for Efficiently Investigating Risky Software Behaviors. CoRR abs/1810.03464 (2018) - 2017
- [c75]Emmanuel Abbe, Sanjeev R. Kulkarni, Eun Jee Lee:
Nonbacktracking Bounds on the Influence in Independent Cascade Models. NIPS 2017: 1407-1416 - [i33]Emmanuel Abbe, Sanjeev R. Kulkarni, Eun Jee Lee:
Nonbacktracking Bounds on the Influence in Independent Cascade Models. CoRR abs/1706.05295 (2017) - 2016
- [j79]Mete Ozay, Inaki Esnaola, Fatos Tünay Yarman Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Machine Learning Methods for Attack Detection in the Smart Grid. IEEE Trans. Neural Networks Learn. Syst. 27(8): 1773-1786 (2016) - [c74]Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú:
Energy efficiency of wireless cooperation. Allerton 2016: 664-671 - [c73]Eun Jee Lee, Sudeep Kamath, Emmanuel Abbe, Sanjeev R. Kulkarni:
Spectral bounds for independent cascade model with sensitive edges. CISS 2016: 649-653 - 2015
- [j78]Shang Shang, Paul Cuff, Pan Hui, Sanjeev R. Kulkarni:
An Upper Bound on the Convergence Time for Quantized Consensus of Arbitrary Static Graphs. IEEE Trans. Autom. Control. 60(4): 1127-1132 (2015) - [i32]Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. CoRR abs/1502.04254 (2015) - [i31]Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Fusion of Image Segmentation Algorithms using Consensus Clustering. CoRR abs/1502.05435 (2015) - [i30]Peng Gao, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal:
SybilFrame: A Defense-in-Depth Framework for Structure-Based Sybil Detection. CoRR abs/1503.02985 (2015) - [i29]Mete Özay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Machine Learning Methods for Attack Detection in the Smart Grid. CoRR abs/1503.06468 (2015) - [i28]Pingmei Xu, Krista A. Ehinger, Yinda Zhang, Adam Finkelstein, Sanjeev R. Kulkarni, Jianxiong Xiao:
TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking. CoRR abs/1504.06755 (2015) - 2014
- [j77]Aurélie C. Lozano, Sanjeev R. Kulkarni, Robert E. Schapire:
Convergence and Consistency of Regularized Boosting With Weakly Dependent Observations. IEEE Trans. Inf. Theory 60(1): 651-660 (2014) - [c72]Shang Shang, Tiance Wang, Paul Cuff, Sanjeev R. Kulkarni:
The application of differential privacy for rank aggregation: Privacy and accuracy. FUSION 2014: 1-7 - [c71]Zhuo Zhang, Sanjeev R. Kulkarni:
Detection of shilling attacks in recommender systems via spectral clustering. FUSION 2014: 1-8 - [c70]Zhuo Zhang, Pan Hui, Sanjeev R. Kulkarni, Christoph Peylo:
Enabling an augmented reality ecosystem: a content-oriented survey. MARS@MobiSys 2014: 41-46 - [c69]Shang Shang, Yuk Hui, Pan Hui, Paul Cuff, Sanjeev R. Kulkarni:
Beyond personalization and anonymity: towards a group-based recommender system. SAC 2014: 266-273 - [i27]Shang Shang, Paul W. Cuff, Pan Hui, Sanjeev R. Kulkarni:
An Upper Bound on the Convergence Time for Quantized Consensus of Arbitrary Static Graphs. CoRR abs/1409.6828 (2014) - [i26]Shang Shang, Tiance Wang, Paul W. Cuff, Sanjeev R. Kulkarni:
The Application of Differential Privacy for Rank Aggregation: Privacy and Accuracy. CoRR abs/1409.6831 (2014) - [i25]Tiance Wang, Pan Hui, Sanjeev R. Kulkarni, Paul W. Cuff:
Cooperative Caching based on File Popularity Ranking in Delay Tolerant Networks. CoRR abs/1409.7047 (2014) - 2013
- [j76]Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor:
A sequential predictor retraining algorithm and its application to market prediction. Ann. Oper. Res. 208(1): 209-225 (2013) - [j75]Jieqi Yu, Sanjeev R. Kulkarni, H. Vincent Poor:
Dimension expansion and customized spring potentials for sensor localization. EURASIP J. Adv. Signal Process. 2013: 20 (2013) - [j74]Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. IEEE J. Sel. Areas Commun. 31(7): 1306-1318 (2013) - [j73]Jarmo Lundén, Sanjeev R. Kulkarni, Visa Koivunen, H. Vincent Poor:
Multiagent Reinforcement Learning Based Spectrum Sensing Policies for Cognitive Radio Networks. IEEE J. Sel. Top. Signal Process. 7(5): 858-868 (2013) - [c68]Mengjuan Liu, Zhuo Zhang, Pan Hui, Yujie Qin, Sanjeev R. Kulkarni:
Measurement and understanding of cyberlocker URL-sharing sites: focus on movie files. ASONAM 2013: 902-909 - [c67]Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Fusion of image segmentation algorithms using consensus clustering. ICIP 2013: 4049-4053 - [c66]Shang Shang, Paul W. Cuff, Pan Hui, Sanjeev R. Kulkarni:
An upper bound on the convergence time for quantized consensus. INFOCOM 2013: 600-604 - [c65]Zhuo Zhang, Sanjeev R. Kulkarni:
Graph-based detection of shilling attacks in recommender systems. MLSP 2013: 1-6 - [c64]Zhuo Zhang, Shang Shang, Sanjeev R. Kulkarni, Pan Hui:
Improving augmented reality using recommender systems. RecSys 2013: 173-176 - [i24]Shang Shang, Yuk Hui, Pan Hui, Paul W. Cuff, Sanjeev R. Kulkarni:
Privacy Preserving Recommendation System Based on Groups. CoRR abs/1305.0540 (2013) - 2012
- [j72]Ali N. Akansu, Sanjeev R. Kulkarni, Marco Avellaneda, Andrew R. Barron:
Introduction to the Issue on Signal Processing Methods in Finance and Electronic Trading. IEEE J. Sel. Top. Signal Process. 6(4): 297 (2012) - [j71]Dmitriy Shutin, Christoph Zechner, Sanjeev R. Kulkarni, H. Vincent Poor:
Regularized Variational Bayesian Learning of Echo State Networks with Delay&Sum Readout. Neural Comput. 24(4): 967-995 (2012) - [j70]Jieqi Yu, Sanjeev R. Kulkarni, H. Vincent Poor:
Robust ellipse and spheroid fitting. Pattern Recognit. Lett. 33(5): 492-499 (2012) - [j69]Aman Jain, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor, Sergio Verdú:
Energy-Distortion Tradeoffs in Gaussian Joint Source-Channel Coding Problems. IEEE Trans. Inf. Theory 58(5): 3153-3168 (2012) - [j68]Dmitriy Shutin, Sanjeev R. Kulkarni, H. Vincent Poor:
Incremental Reformulated Automatic Relevance Determination. IEEE Trans. Signal Process. 60(9): 4977-4981 (2012) - [c63]Tiance Wang, John Sturm, Paul W. Cuff, Sanjeev R. Kulkarni:
Condorcet voting methods avoid the paradoxes of voting theory. Allerton Conference 2012: 201-203 - [c62]Shang Shang, Paul W. Cuff, Sanjeev R. Kulkarni, Pan Hui:
An upper bound on the convergence time for distributed binary consensus. FUSION 2012: 369-375 - [c61]Shang Shang, Sanjeev R. Kulkarni, Paul W. Cuff, Pan Hui:
A randomwalk based model incorporating social information for recommendations. MLSP 2012: 1-6 - [c60]Zhuo Zhang, Paul Cuff, Sanjeev R. Kulkarni:
Iterative collaborative filtering for recommender systems with sparse data. MLSP 2012: 1-6 - [c59]Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Distributed models for sparse attack construction and state vector estimation in the smart grid. SmartGridComm 2012: 306-311 - [c58]Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Smarter security in the smart grid. SmartGridComm 2012: 312-317 - [i23]Shang Shang, Paul W. Cuff, Sanjeev R. Kulkarni, Pan Hui:
An Upper Bound on the Convergence Time for Distributed Binary Consensus. CoRR abs/1208.0525 (2012) - [i22]Shang Shang, Pan Hui, Sanjeev R. Kulkarni, Paul W. Cuff:
Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models. CoRR abs/1208.0782 (2012) - [i21]Shang Shang, Sanjeev R. Kulkarni, Paul W. Cuff, Pan Hui:
A Random Walk Based Model Incorporating Social Information for Recommendations. CoRR abs/1208.0787 (2012) - [i20]Shang Shang, Paul W. Cuff, Pan Hui, Sanjeev R. Kulkarni:
An Upper Bound on the Convergence Time for Quantized Consensus. CoRR abs/1208.0788 (2012) - 2011
- [j67]Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor, Daniel N. Osherson:
Aggregating Large Sets of Probabilistic Forecasts by Weighted Coherent Adjustment. Decis. Anal. 8(2): 128-144 (2011) - [j66]Ilya Pollak, Marco Avellaneda, Emmanuel Bacry, Rama Cont, Sanjeev R. Kulkarni:
Improving the Visibility of Financial Applications Among Signal Processing Researchers[From the Guest Editors]. IEEE Signal Process. Mag. 28(5): 14-15 (2011) - [j65]Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú:
Multicasting in Large Wireless Networks: Bounds on the Minimum Energy Per Bit. IEEE Trans. Inf. Theory 57(1): 14-32 (2011) - [j64]Aaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni:
Probability Estimation in the Rare-Events Regime. IEEE Trans. Inf. Theory 57(6): 3207-3229 (2011) - [j63]Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú:
Energy Efficiency of Decode-and-Forward for Wideband Wireless Multicasting. IEEE Trans. Inf. Theory 57(12): 7695-7713 (2011) - [j62]Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor:
Attribute-Distributed Learning: Models, Limits, and Algorithms. IEEE Trans. Signal Process. 59(1): 386-398 (2011) - [j61]Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulkarni, H. Vincent Poor:
Fast Variational Sparse Bayesian Learning With Automatic Relevance Determination for Superimposed Signals. IEEE Trans. Signal Process. 59(12): 6257-6261 (2011) - [c57]Dmitriy Shutin, Sanjeev R. Kulkarni, H. Vincent Poor:
Stationary point variational Bayesian attribute-distributed sparse learning with ℓ1 sparsity constraints. CAMSAP 2011: 277-280 - [c56]Jarmo Lundén, Visa Koivunen, Sanjeev R. Kulkarni, H. Vincent Poor:
Exploiting spatial diversity in multiagent reinforcement learning based spectrum sensing. CAMSAP 2011: 325-328 - [c55]Jieqi Yu, Sanjeev R. Kulkarni, H. Vincent Poor:
A distributed spring model algorithm for sensor localization using dimension expansion and hyperbolic tangential force. CAMSAP 2011: 381-384 - [c54]Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor, Daniel N. Osherson:
Improving aggregated forecasts of probability. CISS 2011: 1-5 - [c53]Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor:
Consensus clustering: The Filtered Stochastic Best-One-Element-Move Algorithm. CISS 2011: 1-6 - [c52]Hamza Aftab, Nevin Raj, Paul W. Cuff, Sanjeev R. Kulkarni:
Mutual information scheduling for ranking. FUSION 2011: 1-8 - [c51]Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulkarni, H. Vincent Poor:
Fast adaptive variational sparse Bayesian learning with automatic relevance determination. ICASSP 2011: 2180-2183 - [c50]Yiyue Wu, Haipeng Zheng, A. Robert Calderbank, Sanjeev R. Kulkarni, H. Vincent Poor:
On optimal precoding in wireless multicast systems. ICASSP 2011: 3068-3071 - [c49]Shang Shang, Pan Hui, Sanjeev R. Kulkarni, Paul W. Cuff:
Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models. ICPADS 2011: 835-840 - 2010
- [j60]Jieqi Yu, Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor:
Two-Stage Outlier Elimination for Robust Curve and Surface Fitting. EURASIP J. Adv. Signal Process. 2010 (2010) - [j59]Fernando Pérez-Cruz, Sanjeev R. Kulkarni:
Robust and Low Complexity Distributed Kernel Least Squares Learning in Sensor Networks. IEEE Signal Process. Lett. 17(4): 355-358 (2010) - [c48]Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor:
Attribute-distributed learning: The iterative covariance optimization algorithm and its applications. ACC 2010: 6783-6788 - [c47]Dmitriy Shutin, Haipeng Zheng, Bernard H. Fleury, Sanjeev R. Kulkarni, H. Vincent Poor:
Space-alternating attribute-distributed sparse learning. CIP 2010: 209-214 - [c46]Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor:
Agent selection for regression on attribute distributed data. ICASSP 2010: 2242-2245 - [c45]Aman Jain, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor, Sergio Verdú:
Energy efficient lossy transmission over sensor networks with feedback. ICASSP 2010: 5558-5561 - [c44]Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú:
Minimum Energy per Bit for Wideband Wireless Multicasting: Performance of Decode-and-Forward. INFOCOM 2010: 2393-2401 - [c43]Aman Jain, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor, Sergio Verdú:
Energy-distortion tradeoff with multiple sources and feedback. ITA 2010: 142-146
2000 – 2009
- 2009
- [j58]Qing Wang, Sanjeev R. Kulkarni, Sergio Verdú:
Universal Estimation of Information Measures for Analog Sources. Found. Trends Commun. Inf. Theory 5(3): 265-353 (2009) - [j57]Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor:
A Collaborative Training Algorithm for Distributed Learning. IEEE Trans. Inf. Theory 55(4): 1856-1871 (2009) - [j56]Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor:
Finding all small error-prone substructures in LDPC codes. IEEE Trans. Inf. Theory 55(5): 1976-1999 (2009) - [j55]Qing Wang, Sanjeev R. Kulkarni, Sergio Verdú:
Divergence estimation for multidimensional densities via k-nearest-neighbor distances. IEEE Trans. Inf. Theory 55(5): 2392-2405 (2009) - [j54]Joel B. Predd, Robert Seiringer, Elliott H. Lieb, Daniel N. Osherson, H. Vincent Poor, Sanjeev R. Kulkarni:
Probabilistic coherence and proper scoring rules. IEEE Trans. Inf. Theory 55(10): 4786-4792 (2009) - [j53]Jing Deng, Yunghsiang S. Han, Sanjeev R. Kulkarni:
Can multiple subchannels improve the delay performance of RTS/CTS-based MAC schemes? IEEE Trans. Wirel. Commun. 8(4): 1591-1596 (2009) - [c42]Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú:
Minimum energy per bit for Gaussian broadcast channels with common message and cooperating receivers. Allerton 2009: 740-747 - [c41]Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor:
Aggregating disparate judgments using a coherence penalty. CISS 2009: 23-27 - [c40]Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor:
Cooperative training for attribute-distributed data: Trade-off between data transmission and performance. FUSION 2009: 664-671 - [c39]Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú:
Multicasting in large random wireless networks: Bounds on the minimum energy per bit. ISIT 2009: 2627-2631 - [c38]Fernando Pérez-Cruz, Sanjeev R. Kulkarni:
Distributed least square for consensus building in sensor networks. ISIT 2009: 2877-2881 - [i19]Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú:
Multicasting in Large Wireless Networks: Bounds on the Minimum Energy per Bit. CoRR abs/0905.3858 (2009) - [i18]Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor:
Cooperative Training for Attribute-Distributed Data: Trade-off Between Data Transmission and Performance. CoRR abs/0907.5141 (2009) - [i17]Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor:
Collaborative Training in Sensor Networks: A graphical model approach. CoRR abs/0907.5168 (2009) - 2008
- [j52]Joel B. Predd, Daniel N. Osherson, Sanjeev R. Kulkarni, H. Vincent Poor:
Aggregating Probabilistic Forecasts from Incoherent and Abstaining Experts. Decis. Anal. 5(4): 177-189 (2008) - [j51]Hua Li, Patricia R. Barbosa, Edwin K. P. Chong, Jan Hannig, Sanjeev R. Kulkarni:
Zero-error target tracking with limited communication. IEEE J. Sel. Areas Commun. 26(4): 686-694 (2008) - [c37]Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor:
Dimensionally distributed learning models and algorithm. FUSION 2008: 1-8 - [i16]