Sanjeev R. Kulkarni

231 papers A* 11A 3B 22C 8Misc 11Journal 143Unranked 32

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Provable Initialization and Robust Clustering Method for General Mixture Models. IEEE Trans. Inf. Theory Soham Jana, Jianqing Fan, Sanjeev R. Kulkarni
2025	J	`jnl`	Factor Informed Double Deep Learning For Average Treatment Effect Estimation. CoRR Jianqing Fan, Soham Jana, Sanjeev R. Kulkarni, Qishuo Yin
2025	J	`jnl`	Financial Data Analysis with Robust Federated Logistic Regression. CoRR Kun Yang, Nikhil Krishnan, Sanjeev R. Kulkarni
2025	J	`jnl`	Infinitely divisible privacy and beyond I: resolution of the s CoRR Aaradhya Pandey, Arian Maleki, Sanjeev R. Kulkarni
2025	J	`jnl`	Task Arithmetic Through The Lens Of One-Shot Federated Learning. Trans. Mach. Learn. Res. Zhixu Tao, Ian Mason, Sanjeev R. Kulkarni, Xavier Boix
2024	J	`jnl`	Asymptotically Optimal Change Detection for Unnormalized Pre- and Post-Change Distributions. CoRR Arman Adibi, Sanjeev R. Kulkarni, H. Vincent Poor, Taposh Banerjee, Vahid Tarokh
2024	—	`conf`	DASA: Delay-Adaptive Multi-Agent Stochastic Approximation. CDC Nicolò Dal Fabbro, Arman Adibi, H. Vincent Poor, Sanjeev R. Kulkarni, Aritra Mitra, George J. Pappas
2024	J	`jnl`	DASA: Delay-Adaptive Multi-Agent Stochastic Approximation. CoRR Nicolò Dal Fabbro, Arman Adibi, H. Vincent Poor, Sanjeev R. Kulkarni, Aritra Mitra, George J. Pappas
2024	J	`jnl`	Greedy centroid initialization for federated K-means. Knowl. Inf. Syst. Kun Yang, Mohammad Mohammadi Amiri, Sanjeev R. Kulkarni
2024	A	`conf`	Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. AISTATS Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra
2024	J	`jnl`	Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. CoRR Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra
2024	J	`jnl`	Task Arithmetic Through The Lens Of One-Shot Federated Learning. CoRR Zhixu Tao, Ian Mason, Sanjeev R. Kulkarni, Xavier Boix
2024	A	`conf`	VFIX: Facilitating Software Maintenance of Smart Contracts via Automatically Fixing Vulnerabilities. ICSME Pengcheng Fang, Peng Gao, Yun Peng, Qingzhao Zhang, Tao Xie, Dawn Song, Prateek Mittal, Sanjeev R. Kulkarni, Zhuotao Liu, Xusheng Xiao
2023	J	`jnl`	Adversarially robust clustering with optimality guarantees. CoRR Soham Jana, Kun Yang, Sanjeev R. Kulkarni
2023	J	`jnl`	Byzantine-Robust Clustered Federated Learning. CoRR Zhixu Tao, Kun Yang, Sanjeev R. Kulkarni
2023	J	`jnl`	CONTRACTFIX: A Framework for Automatically Fixing Vulnerabilities in Smart Contracts. CoRR Pengcheng Fang, Peng Gao, Yun Peng, Qingzhao Zhang, Tao Xie, Dawn Song, Prateek Mittal, Sanjeev R. Kulkarni, Zhuotao Liu, Xusheng Xiao
2023	Misc	`conf`	Greedy Centroid Initialization for Federated K-means. CISS Kun Yang, Mohammad Mohammadi Amiri, Sanjeev R. Kulkarni
2023	J	`jnl`	ZeroSwap: Data-driven Optimal Market Making in DeFi. CoRR Viraj Nadkarni, Jiachen Hu, Ranvir Rana, Chi Jin, Sanjeev R. Kulkarni, Pramod Viswanath
2022	J	`jnl`	Convergence of Federated Learning Over a Noisy Downlink. IEEE Trans. Wirel. Commun. Mohammad Mohammadi Amiri, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor
2021	A*	`conf`	A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence. ICDE Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Haoyuan Liu, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song
2021	J	`jnl`	A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence. CoRR Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Haoyuan Liu, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song
2021	J	`jnl`	Blind Federated Edge Learning. IEEE Trans. Wirel. Commun. Mohammad Mohammadi Amiri, Tolga M. Duman, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor
2021	J	`jnl`	Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge. IEEE Trans. Wirel. Commun. Mohammad Mohammadi Amiri, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor
2021	A*	`conf`	Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence. ICDE Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song
2021	—	`conf`	Federated Learning with Downlink Device Selection. SPAWC Mohammad Mohammadi Amiri, Sanjeev R. Kulkarni, H. Vincent Poor
2021	J	`jnl`	Federated Learning with Downlink Device Selection. CoRR Mohammad Mohammadi Amiri, Sanjeev R. Kulkarni, H. Vincent Poor
2020	J	`jnl`	Blind Federated Edge Learning. CoRR Mohammad Mohammadi Amiri, Tolga M. Duman, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor
2020	J	`jnl`	Convergence of Federated Learning over a Noisy Downlink. CoRR Mohammad Mohammadi Amiri, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor
2020	J	`jnl`	Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence. CoRR Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song
2020	J	`jnl`	Federated Learning With Quantized Global Model Updates. CoRR Mohammad Mohammadi Amiri, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor
2020	J	`jnl`	Generalized Nonbacktracking Bounds on the Influence. J. Mach. Learn. Res. Emmanuel Abbe, Sanjeev R. Kulkarni, Eun Jee Lee
2020	A*	`conf`	Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection. ICDE Peng Gao, Xusheng Xiao, Ding Li, Kangkook Jee, Haifeng Chen, Sanjeev R. Kulkarni, Prateek Mittal
2020	B	`conf`	Update Aware Device Scheduling for Federated Learning at the Wireless Edge. ISIT Mohammad Mohammadi Amiri, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor
2020	J	`jnl`	Update Aware Device Scheduling for Federated Learning at the Wireless Edge. CoRR Mohammad Mohammadi Amiri, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor
2019	J	`jnl`	A Query System for Efficiently Investigating Complex Attack Behaviors for Enterprise Security. Proc. VLDB Endow. Peng Gao, Xusheng Xiao, Zhichun Li, Kangkook Jee, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal
2019	J	`jnl`	A Stream-based Query System for Efficiently Detecting Abnormal System Behaviors for Enterprise Security. CoRR Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal
2018	J	`jnl`	A Query Tool for Efficiently Investigating Risky Software Behaviors. CoRR Peng Gao, Xusheng Xiao, Zhichun Li, Kangkook Jee, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal
2018	—	`conf`	AIQL: Enabling Efficient Attack Investigation from System Monitoring Data. USENIX ATC Peng Gao, Xusheng Xiao, Zhichun Li, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal
2018	J	`jnl`	AIQL: Enabling Efficient Attack Investigation from System Monitoring Data. CoRR Peng Gao, Xusheng Xiao, Zhichun Li, Kangkook Jee, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal
2018	A*	`conf`	SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection. USENIX Security Symposium Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal
2018	J	`jnl`	SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection. CoRR Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal
2018	—	`conf`	SYBILFUSE: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. CNS Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal
2018	J	`jnl`	SybilFuse: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. CoRR Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal
2017	—	`conf`	Nonbacktracking Bounds on the Influence in Independent Cascade Models. NIPS Emmanuel Abbe, Sanjeev R. Kulkarni, Eun Jee Lee
2017	J	`jnl`	Nonbacktracking Bounds on the Influence in Independent Cascade Models. CoRR Emmanuel Abbe, Sanjeev R. Kulkarni, Eun Jee Lee
2016	—	`conf`	Energy efficiency of wireless cooperation. Allerton Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú
2016	J	`jnl`	Machine Learning Methods for Attack Detection in the Smart Grid. IEEE Trans. Neural Networks Learn. Syst. Mete Ozay, Inaki Esnaola, Fatos Tünay Yarman Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2016	Misc	`conf`	Spectral bounds for independent cascade model with sensitive edges. CISS Eun Jee Lee, Sudeep Kamath, Emmanuel Abbe, Sanjeev R. Kulkarni
2015	J	`jnl`	An Upper Bound on the Convergence Time for Quantized Consensus of Arbitrary Static Graphs. IEEE Trans. Autom. Control. Shang Shang, Paul Cuff, Pan Hui, Sanjeev R. Kulkarni
2015	J	`jnl`	Fusion of Image Segmentation Algorithms using Consensus Clustering. CoRR Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2015	J	`jnl`	Machine Learning Methods for Attack Detection in the Smart Grid. CoRR Mete Özay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2015	J	`jnl`	Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. CoRR Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2015	J	`jnl`	SybilFrame: A Defense-in-Depth Framework for Structure-Based Sybil Detection. CoRR Peng Gao, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal
2015	J	`jnl`	TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking. CoRR Pingmei Xu, Krista A. Ehinger, Yinda Zhang, Adam Finkelstein, Sanjeev R. Kulkarni, Jianxiong Xiao
2014	J	`jnl`	An Upper Bound on the Convergence Time for Quantized Consensus of Arbitrary Static Graphs. CoRR Shang Shang, Paul W. Cuff, Pan Hui, Sanjeev R. Kulkarni
2014	Misc	`conf`	Beyond personalization and anonymity: towards a group-based recommender system. SAC Shang Shang, Yuk Hui, Pan Hui, Paul Cuff, Sanjeev R. Kulkarni
2014	J	`jnl`	Convergence and Consistency of Regularized Boosting With Weakly Dependent Observations. IEEE Trans. Inf. Theory Aurélie C. Lozano, Sanjeev R. Kulkarni, Robert E. Schapire
2014	J	`jnl`	Cooperative Caching based on File Popularity Ranking in Delay Tolerant Networks. CoRR Tiance Wang, Pan Hui, Sanjeev R. Kulkarni, Paul W. Cuff
2014	C	`conf`	Detection of shilling attacks in recommender systems via spectral clustering. FUSION Zhuo Zhang, Sanjeev R. Kulkarni
2014	—	`conf`	Enabling an augmented reality ecosystem: a content-oriented survey. MARS@MobiSys Zhuo Zhang, Pan Hui, Sanjeev R. Kulkarni, Christoph Peylo
2014	J	`jnl`	The Application of Differential Privacy for Rank Aggregation: Privacy and Accuracy. CoRR Shang Shang, Tiance Wang, Paul W. Cuff, Sanjeev R. Kulkarni
2014	C	`conf`	The application of differential privacy for rank aggregation: Privacy and accuracy. FUSION Shang Shang, Tiance Wang, Paul Cuff, Sanjeev R. Kulkarni
2013	J	`jnl`	A sequential predictor retraining algorithm and its application to market prediction. Ann. Oper. Res. Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
2013	A*	`conf`	An upper bound on the convergence time for quantized consensus. INFOCOM Shang Shang, Paul W. Cuff, Pan Hui, Sanjeev R. Kulkarni
2013	J	`jnl`	Dimension expansion and customized spring potentials for sensor localization. EURASIP J. Adv. Signal Process. Jieqi Yu, Sanjeev R. Kulkarni, H. Vincent Poor
2013	B	`conf`	Fusion of image segmentation algorithms using consensus clustering. ICIP Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2013	—	`conf`	Graph-based detection of shilling attacks in recommender systems. MLSP Zhuo Zhang, Sanjeev R. Kulkarni
2013	A	`conf`	Improving augmented reality using recommender systems. RecSys Zhuo Zhang, Shang Shang, Sanjeev R. Kulkarni, Pan Hui
2013	B	`conf`	Measurement and understanding of cyberlocker URL-sharing sites: focus on movie files. ASONAM Mengjuan Liu, Zhuo Zhang, Pan Hui, Yujie Qin, Sanjeev R. Kulkarni
2013	J	`jnl`	Multiagent Reinforcement Learning Based Spectrum Sensing Policies for Cognitive Radio Networks. IEEE J. Sel. Top. Signal Process. Jarmo Lundén, Sanjeev R. Kulkarni, Visa Koivunen, H. Vincent Poor
2013	J	`jnl`	Privacy Preserving Recommendation System Based on Groups CoRR Shang Shang, Yuk Hui, Pan Hui, Paul W. Cuff, Sanjeev R. Kulkarni
2013	J	`jnl`	Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. IEEE J. Sel. Areas Commun. Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2012	J	`jnl`	A Random Walk Based Model Incorporating Social Information for Recommendations CoRR Shang Shang, Sanjeev R. Kulkarni, Paul W. Cuff, Pan Hui
2012	—	`conf`	A randomwalk based model incorporating social information for recommendations. MLSP Shang Shang, Sanjeev R. Kulkarni, Paul W. Cuff, Pan Hui
2012	J	`jnl`	An Upper Bound on the Convergence Time for Distributed Binary Consensus CoRR Shang Shang, Paul W. Cuff, Sanjeev R. Kulkarni, Pan Hui
2012	J	`jnl`	An Upper Bound on the Convergence Time for Quantized Consensus CoRR Shang Shang, Paul W. Cuff, Pan Hui, Sanjeev R. Kulkarni
2012	C	`conf`	An upper bound on the convergence time for distributed binary consensus. FUSION Shang Shang, Paul W. Cuff, Sanjeev R. Kulkarni, Pan Hui
2012	—	`conf`	Condorcet voting methods avoid the paradoxes of voting theory. Allerton Conference Tiance Wang, John Sturm, Paul W. Cuff, Sanjeev R. Kulkarni
2012	—	`conf`	Distributed models for sparse attack construction and state vector estimation in the smart grid. SmartGridComm Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2012	J	`jnl`	Energy-Distortion Tradeoffs in Gaussian Joint Source-Channel Coding Problems. IEEE Trans. Inf. Theory Aman Jain, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor, Sergio Verdú
2012	J	`jnl`	Incremental Reformulated Automatic Relevance Determination. IEEE Trans. Signal Process. Dmitriy Shutin, Sanjeev R. Kulkarni, H. Vincent Poor
2012	J	`jnl`	Introduction to the Issue on Signal Processing Methods in Finance and Electronic Trading. IEEE J. Sel. Top. Signal Process. Ali N. Akansu, Sanjeev R. Kulkarni, Marco Avellaneda, Andrew R. Barron
2012	—	`conf`	Iterative collaborative filtering for recommender systems with sparse data. MLSP Zhuo Zhang, Paul Cuff, Sanjeev R. Kulkarni
2012	J	`jnl`	Regularized Variational Bayesian Learning of Echo State Networks with Delay&Sum Readout. Neural Comput. Dmitriy Shutin, Christoph Zechner, Sanjeev R. Kulkarni, H. Vincent Poor
2012	J	`jnl`	Robust ellipse and spheroid fitting. Pattern Recognit. Lett. Jieqi Yu, Sanjeev R. Kulkarni, H. Vincent Poor
2012	—	`conf`	Smarter security in the smart grid. SmartGridComm Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2012	J	`jnl`	Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models CoRR Shang Shang, Pan Hui, Sanjeev R. Kulkarni, Paul W. Cuff
2011	—	`conf`	A distributed spring model algorithm for sensor localization using dimension expansion and hyperbolic tangential force. CAMSAP Jieqi Yu, Sanjeev R. Kulkarni, H. Vincent Poor
2011	J	`jnl`	Aggregating Large Sets of Probabilistic Forecasts by Weighted Coherent Adjustment. Decis. Anal. Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor, Daniel N. Osherson
2011	J	`jnl`	Attribute-Distributed Learning: Models, Limits, and Algorithms. IEEE Trans. Signal Process. Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
2011	Misc	`conf`	Consensus clustering: The Filtered Stochastic Best-One-Element-Move Algorithm. CISS Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
2011	J	`jnl`	Energy Efficiency of Decode-and-Forward for Wideband Wireless Multicasting. IEEE Trans. Inf. Theory Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú
2011	—	`conf`	Exploiting spatial diversity in multiagent reinforcement learning based spectrum sensing. CAMSAP Jarmo Lundén, Visa Koivunen, Sanjeev R. Kulkarni, H. Vincent Poor
2011	J	`jnl`	Fast Variational Sparse Bayesian Learning With Automatic Relevance Determination for Superimposed Signals. IEEE Trans. Signal Process. Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulkarni, H. Vincent Poor
2011	Misc	`conf`	Fast adaptive variational sparse Bayesian learning with automatic relevance determination. ICASSP Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulkarni, H. Vincent Poor
2011	Misc	`conf`	Improving aggregated forecasts of probability. CISS Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor, Daniel N. Osherson
2011	J	`jnl`	Improving the Visibility of Financial Applications Among Signal Processing Researchers[From the Guest Editors]. IEEE Signal Process. Mag. Ilya Pollak, Marco Avellaneda, Emmanuel Bacry, Rama Cont, Sanjeev R. Kulkarni
2011	J	`jnl`	Multicasting in Large Wireless Networks: Bounds on the Minimum Energy Per Bit. IEEE Trans. Inf. Theory Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú
2011	C	`conf`	Mutual information scheduling for ranking. FUSION Hamza Aftab, Nevin Raj, Paul W. Cuff, Sanjeev R. Kulkarni
2011	Misc	`conf`	On optimal precoding in wireless multicast systems. ICASSP Yiyue Wu, Haipeng Zheng, A. Robert Calderbank, Sanjeev R. Kulkarni, H. Vincent Poor
2011	J	`jnl`	Probability Estimation in the Rare-Events Regime. IEEE Trans. Inf. Theory Aaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni
2011	—	`conf`	Stationary point variational Bayesian attribute-distributed sparse learning with ℓ1 sparsity constraints. CAMSAP Dmitriy Shutin, Sanjeev R. Kulkarni, H. Vincent Poor
2011	B	`conf`	Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models. ICPADS Shang Shang, Pan Hui, Sanjeev R. Kulkarni, Paul W. Cuff
2010	Misc	`conf`	Agent selection for regression on attribute distributed data. ICASSP Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
2010	C	`conf`	Attribute-distributed learning: The iterative covariance optimization algorithm and its applications. ACC Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
2010	Misc	`conf`	Energy efficient lossy transmission over sensor networks with feedback. ICASSP Aman Jain, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor, Sergio Verdú
2010	Misc	`conf`	Energy-distortion tradeoff with multiple sources and feedback. ITA Aman Jain, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor, Sergio Verdú
2010	A*	`conf`	Minimum Energy per Bit for Wideband Wireless Multicasting: Performance of Decode-and-Forward. INFOCOM Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú
2010	J	`jnl`	Robust and Low Complexity Distributed Kernel Least Squares Learning in Sensor Networks. IEEE Signal Process. Lett. Fernando Pérez-Cruz, Sanjeev R. Kulkarni
2010	—	`conf`	Space-alternating attribute-distributed sparse learning. CIP Dmitriy Shutin, Haipeng Zheng, Bernard H. Fleury, Sanjeev R. Kulkarni, H. Vincent Poor
2010	J	`jnl`	Two-Stage Outlier Elimination for Robust Curve and Surface Fitting. EURASIP J. Adv. Signal Process. Jieqi Yu, Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
2009	J	`jnl`	A Collaborative Training Algorithm for Distributed Learning. IEEE Trans. Inf. Theory Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor
2009	Misc	`conf`	Aggregating disparate judgments using a coherence penalty. CISS Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor
2009	J	`jnl`	Can multiple subchannels improve the delay performance of RTS/CTS-based MAC schemes? IEEE Trans. Wirel. Commun. Jing Deng, Yunghsiang S. Han, Sanjeev R. Kulkarni
2009	J	`jnl`	Collaborative Training in Sensor Networks: A graphical model approach CoRR Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
2009	J	`jnl`	Cooperative Training for Attribute-Distributed Data: Trade-off Between Data Transmission and Performance CoRR Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
2009	C	`conf`	Cooperative training for attribute-distributed data: Trade-off between data transmission and performance. FUSION Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
2009	B	`conf`	Distributed least square for consensus building in sensor networks. ISIT Fernando Pérez-Cruz, Sanjeev R. Kulkarni
2009	J	`jnl`	Divergence estimation for multidimensional densities via k-nearest-neighbor distances. IEEE Trans. Inf. Theory Qing Wang, Sanjeev R. Kulkarni, Sergio Verdú
2009	J	`jnl`	Finding all small error-prone substructures in LDPC codes. IEEE Trans. Inf. Theory Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor
2009	—	`conf`	Minimum energy per bit for Gaussian broadcast channels with common message and cooperating receivers. Allerton Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú
2009	J	`jnl`	Multicasting in Large Wireless Networks: Bounds on the Minimum Energy per Bit CoRR Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú
2009	B	`conf`	Multicasting in large random wireless networks: Bounds on the minimum energy per bit. ISIT Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú
2009	J	`jnl`	Probabilistic coherence and proper scoring rules. IEEE Trans. Inf. Theory Joel B. Predd, Robert Seiringer, Elliott H. Lieb, Daniel N. Osherson, H. Vincent Poor, Sanjeev R. Kulkarni
2009	J	`jnl`	Universal Estimation of Information Measures for Analog Sources. Found. Trends Commun. Inf. Theory Qing Wang, Sanjeev R. Kulkarni, Sergio Verdú
2008	J	`jnl`	Aggregating Probabilistic Forecasts from Incoherent and Abstaining Experts. Decis. Anal. Joel B. Predd, Daniel N. Osherson, Sanjeev R. Kulkarni, H. Vincent Poor
2008	J	`jnl`	Dimensionally Distributed Learning: Models and Algorithm CoRR Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
2008	C	`conf`	Dimensionally distributed learning models and algorithm. FUSION Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor
2008	J	`jnl`	Zero-error target tracking with limited communication. IEEE J. Sel. Areas Commun. Hua Li, Patricia R. Barbosa, Edwin K. P. Chong, Jan Hannig, Sanjeev R. Kulkarni
2007	J	`jnl`	A Better Good-Turing Estimator for Sequence Probabilities CoRR Aaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni
2007	B	`conf`	A Better Good-Turing Estimator for Sequence Probabilities. ISIT Aaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni
2007	J	`jnl`	Density estimation from an individual numerical sequence. CoRR Andrew B. Nobel, Gusztáv Morvai, Sanjeev R. Kulkarni
2007	J	`jnl`	Finite-Dimensional Bounds on BBZ IEEE Trans. Inf. Theory Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor
2007	J	`jnl`	Regression estimation from an individual stable sequence. CoRR Gusztáv Morvai, Sanjeev R. Kulkarni, Andrew B. Nobel
2007	J	`jnl`	Throughput scaling in wireless networks with restricted mobility. IEEE Trans. Wirel. Commun. Aurélie C. Lozano, Sanjeev R. Kulkarni, Pramod Viswanath
2006	B	`conf`	A Nearest-Neighbor Approach to Estimating Divergence between Continuous Random Vectors. ISIT Qing Wang, Sanjeev R. Kulkarni, Sergio Verdú
2006	J	`jnl`	An Algorithm for Universal Lossless Compression With Side Information. IEEE Trans. Inf. Theory Haixiao Cai, Sanjeev R. Kulkarni, Sergio Verdú
2006	J	`jnl`	Consistency in models for distributed learning under communication constraints. IEEE Trans. Inf. Theory Joel B. Predd, Sanjeev R. Kulkarni, Harold Vincent Poor
2006	B	`conf`	Convergence and Consistency of Recursive Boosting. ISIT Aurélie C. Lozano, Sanjeev R. Kulkarni
2006	J	`jnl`	Distributed Kernel Regression: An Algorithm for Training Collaboratively CoRR Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor
2006	B	`conf`	Distributed Kernel Regression: An Algorithm for Training Collaboratively. ITW Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor
2006	—	`conf`	Distributed estimation with dependent observations in wireless sensor networks. EUSIPCO Sung-Hyun Son, Sanjeev R. Kulkarni, Stuart C. Schwartz
2006	J	`jnl`	Distributed learning in wireless sensor networks. IEEE Signal Process. Mag. Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor
2006	J	`jnl`	Exhausting Error-Prone Patterns in LDPC Codes CoRR Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor
2006	J	`jnl`	Finite-Dimensional Bounds on Zm and Binary LDPC Codes with Belief Propagation Decoders CoRR Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor
2006	J	`jnl`	Relative Frequencies of Generalized Simulated Annealing. Math. Oper. Res. Jan Hannig, Edwin K. P. Chong, Sanjeev R. Kulkarni
2006	J	`jnl`	Scalable Algorithms for Aggregating Disparate Forecasts of Probability CoRR Joel B. Predd, Sanjeev R. Kulkarni, Daniel N. Osherson, H. Vincent Poor
2006	C	`conf`	Scalable Algorithms for Aggregating Disparate Forecasts of Probability. FUSION Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor, Daniel N. Osherson
2006	J	`jnl`	Strong Consistency of the Good-Turing Estimator CoRR Aaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni
2006	B	`conf`	Strong Consistency of the Good-Turing Estimator. ISIT Aaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni
2006	J	`jnl`	Universal Divergence Estimation for Finite-Alphabet Sources. IEEE Trans. Inf. Theory Haixiao Cai, Sanjeev R. Kulkarni, Sergio Verdú
2006	J	`jnl`	Upper Bounding the Performance of Arbitrary Finite LDPC Codes on Binary Erasure Channels CoRR Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor
2006	B	`conf`	Upper Bounding the Performance of Arbitrary Finite LDPC Codes on Binary Erasure Channels. ISIT Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor
2005	B	`conf`	A universal lossless compressor with side information based on context tree weighting. ISIT Haixiao Cai, Sanjeev R. Kulkarni, Sergio Verdú
2005	B	`conf`	A wireless network can achieve maximum throughput without each node meeting all others. ISIT Aurélie C. Lozano, Sanjeev R. Kulkarni
2005	J	`jnl`	Arbitrary side observations in bandit problems. Adv. Appl. Math. Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor
2005	J	`jnl`	Bandit Problems with Side Observations CoRR Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor
2005	J	`jnl`	Bandit problems with side observations. IEEE Trans. Autom. Control. Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor
2005	B	`conf`	Broadcast-relay channel: capacity region bounds. ISIT Alex Reznik, Sanjeev R. Kulkarni, Sergio Verdú
2005	—	`conf`	Communication-estimation tradeoffs in wireless sensor networks. ICASSP (5) Sung-Hyun Son, Sanjeev R. Kulkarni, Stuart C. Schwartz, Mike Roan
2005	J	`jnl`	Consistency in Models for Distributed Learning under Communication Constraints CoRR Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor
2005	—	`conf`	Convergence and Consistency of Regularized Boosting Algorithms with Stationary B-Mixing Observations. NIPS Aurélie C. Lozano, Sanjeev R. Kulkarni, Robert E. Schapire
2005	J	`jnl`	Density Evolution for Asymmetric Memoryless Channels CoRR Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor
2005	J	`jnl`	Density evolution for asymmetric memoryless channels. IEEE Trans. Inf. Theory Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor
2005	J	`jnl`	Distributed Learning in Wireless Sensor Networks CoRR Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor
2005	J	`jnl`	Distributed Regression in Sensor Networks: Training Distributively with Alternating Projections CoRR Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor
2005	J	`jnl`	Divergence Estimation of Continuous Distributions Based on Data-Dependent Partitions. IEEE Trans. Inf. Theory Qing Wang, Sanjeev R. Kulkarni, Sergio Verdú
2005	J	`jnl`	On the Typicality of the Linear Code Among the LDPC Coset Code Ensemble CoRR Chih-Chun Wang, H. Vincent Poor, Sanjeev R. Kulkarni
2005	—	`conf`	Relative Frequencies of Non-homogeneous Markov Chains in Simulated Annealing and Related Algorithms. CDC/ECC Jan Hannig, Edwin K. P. Chong, Sanjeev R. Kulkarni
2005	B	`conf`	Universal estimation of divergence for continuous distributions via data-dependent partitions. ISIT Qing Wang, Sanjeev R. Kulkarni, Sergio Verdú
2004	J	`jnl`	A Deterministic Approach to Throughput Scaling in Wireless Networks. IEEE Trans. Inf. Theory Sanjeev R. Kulkarni, Pramod Viswanath
2004	A*	`conf`	Consistency in Models for Communication Constrained Distributed Learning. COLT Joel B. Predd, Sanjeev R. Kulkarni, Harold Vincent Poor
2004	B	`conf`	Consistency in a model for distributed learning with specialists. ISIT Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor
2004	J	`jnl`	Degraded Gaussian multirelay channel: capacity and optimal power allocation. IEEE Trans. Inf. Theory Alex Reznik, Sanjeev R. Kulkarni, Sergio Verdú
2004	B	`conf`	Scaling laws in random heterogeneous networks. ISIT Alex Reznik, Sanjeev R. Kulkarni, Sergio Verdú
2004	B	`conf`	Throughput scaling in wireless networks with restricted mobility. ISIT Aurélie C. Lozano, Sanjeev R. Kulkarni, Pramod Viswanath
2004	J	`jnl`	Universal entropy estimation via block sorting. IEEE Trans. Inf. Theory Haixiao Cai, Sanjeev R. Kulkarni, Sergio Verdú
2004	J	`jnl`	Upper bounds to transport capacity of wireless networks. IEEE Trans. Inf. Theory Aleksandar Jovicic, Pramod Viswanath, Sanjeev R. Kulkarni
2003	J	`jnl`	A "Small World" Approach to Heterogeneous Networks. Commun. Inf. Syst. Sanjeev R. Kulkarni, Alex Reznik, Sergio Verdú
2003	J	`jnl`	Efficiently synthesizing virtual video. IEEE Trans. Circuits Syst. Video Technol. Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo
2002	—	`conf`	Bandit problems with side observations. CDC Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor
2002	J	`jnl`	Data-dependent k IEEE Trans. Inf. Theory Sanjeev R. Kulkarni, S. E. Posner, Sathyakama Sandilya
2002	J	`jnl`	Principal curves with bounded turn. IEEE Trans. Inf. Theory Sathyakama Sandilya, Sanjeev R. Kulkarni
2002	J	`jnl`	Universal lossless source coding with the Burrows Wheeler Transform. IEEE Trans. Inf. Theory Michelle Effros, Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú
2001	—	`conf`	Estimating Correspondence in Digital Video. ITCC Richard J. Radke, Vitali Zagorodnov, Sanjeev R. Kulkarni, Peter J. Ramadge
2001	J	`jnl`	Nonparametric control algorithms for nonlinear fading memory systems. IEEE Trans. Autom. Control. Sathyakama Sandilya, Sanjeev R. Kulkarni
2001	J	`jnl`	Universal variable-to-fixed length source codes. IEEE Trans. Inf. Theory Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú
2001	—	`conf`	Using view interpolation for low bit rate video. ICIP (1) Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo
2000	J	`jnl`	Finite-time lower bounds for the two-armed bandit problem. IEEE Trans. Autom. Control. Sanjeev R. Kulkarni, Gábor Lugosi
2000	J	`jnl`	Learning Changing Concepts by Exploiting the Structure of Change. Mach. Learn. Peter L. Bartlett, Shai Ben-David, Sanjeev R. Kulkarni
2000	J	`jnl`	Rapid estimation of camera motion from compressed video with application to video annotation. IEEE Trans. Circuits Syst. Video Technol. Yap-Peng Tan, Drew D. Saur, Sanjeev R. Kulkarni, Peter J. Ramadge
2000	B	`conf`	Recursive Propagation of Correspondences with Applications to the Creation of Virtual Video. ICIP Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo, Shun-ichi Iisaku
2000	J	`jnl`	Separation of random number generation and resolvability. IEEE Trans. Inf. Theory Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú
2000	J	`jnl`	Some contributions to fixed-distribution learning theory. IEEE Trans. Autom. Control. M. Vidyasagar, Sanjeev R. Kulkarni
2000	J	`jnl`	Universal coding of nonstationary sources. IEEE Trans. Inf. Theory Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú
1999	—	`conf`	A Framework for Measuring Video Similarity and Its Application to Video Query by Example. ICIP (2) Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge
1999	J	`jnl`	Noise Conditions for Prespecified Convergence Rates of Stochastic Approximation Algorithms. IEEE Trans. Inf. Theory Edwin K. P. Chong, I-Jeng Wang, Sanjeev R. Kulkarni
1999	J	`jnl`	Nonparametric output prediction for nonlinear fading memory systems. IEEE Trans. Autom. Control. Sanjeev R. Kulkarni, S. E. Posner
1998	J	`jnl`	Computational limitations of model-based recognition. Int. J. Intell. Syst. Haim Schweitzer, Sanjeev R. Kulkarni
1998	J	`jnl`	Controller switching based on output prediction errors. IEEE Trans. Autom. Control. Judith Hocherman-Frommer, Sanjeev R. Kulkarni, Peter J. Ramadge
1998	J	`jnl`	Density Estimation from an Individual Numerical Sequence. IEEE Trans. Inf. Theory Andrew B. Nobel, Gusztáv Morvai, Sanjeev R. Kulkarni
1998	J	`jnl`	Learning Pattern Classification - A Survey. IEEE Trans. Inf. Theory Sanjeev R. Kulkarni, Gábor Lugosi, Santosh S. Venkatesh
1998	J	`jnl`	Reduction of Timed Hybrid Systems. Discret. Event Dyn. Syst. Stefano Di Gennaro, C. Horn, Sanjeev R. Kulkarni, Peter J. Ramadge
1998	J	`jnl`	Source Codes as Random Number Generators. IEEE Trans. Inf. Theory Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú
1997	—	`conf`	Automated Analysis and Annotation of Basketball Video. Storage and Retrieval for Image and Video Databases (SPIE) Drew D. Saur, Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge
1997	J	`jnl`	Covering numbers for real-valued function classes. IEEE Trans. Inf. Theory Peter L. Bartlett, Sanjeev R. Kulkarni, S. E. Posner
1997	J	`jnl`	Learning decision rules for pattern classification under a family of probability measures. IEEE Trans. Inf. Theory Sanjeev R. Kulkarni, M. Vidyasagar
1997	J	`jnl`	Weighted averaging and stochastic approximation. Math. Control. Signals Syst. I-Jeng Wang, Edwin K. P. Chong, Sanjeev R. Kulkarni
1996	J	`jnl`	An alternative proof for convergence of stochastic approximation algorithms. IEEE Trans. Autom. Control. Sanjeev R. Kulkarni, C. Horn
1996	J	`jnl`	Extended synchronizing codewords for binary prefix codes. IEEE Trans. Inf. Theory Wai-Man Lam, Sanjeev R. Kulkarni
1996	—	`conf`	Extracting good features for motion estimation. ICIP (1) Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge
1996	A*	`conf`	Learning Changing Concepts by Exploiting the Structure of Change. COLT Peter L. Bartlett, Shai Ben-David, Sanjeev R. Kulkarni
1996	J	`jnl`	Local tests for consistency of support hyperplane data. J. Math. Imaging Vis. William Clement Karl, Sanjeev R. Kulkarni, George C. Verghese, Alan S. Willsky
1996	J	`jnl`	Model and controller selection policies based on output prediction errors. IEEE Trans. Autom. Control. Sanjeev R. Kulkarni, Peter J. Ramadge
1996	J	`jnl`	Model-based reconstruction of multiple circular and elliptical objects from a limited number of projections. IEEE Trans. Image Process. Song Wang, Bede Liu, Sanjeev R. Kulkarni
1995	B	`conf`	A new method for camera motion parameter estimation. ICIP Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge
1995	B	`conf`	Convex shape reconstruction from noisy ray probe measurements. ICIP J. S. Lerman, Sanjeev R. Kulkarni
1995	J	`jnl`	Rates of convergence of nearest neighbor estimation under arbitrary sampling. IEEE Trans. Inf. Theory Sanjeev R. Kulkarni, S. E. Posner
1994	J	`jnl`	A metric entropy bound is not sufficient for learnability. IEEE Trans. Inf. Theory Richard M. Dudley, Sanjeev R. Kulkarni, T. J. Richardson, Ofer Zeitouni
1994	—	`conf`	A new technique for block-based motion compensation. ICASSP (5) Shinichi Kozu, Sanjeev R. Kulkarni
1994	J	`jnl`	A paradigm for class identification problems. IEEE Trans. Inf. Theory Sanjeev R. Kulkarni, David N. C. Tse
1994	—	`conf`	Image Reconstruction from a Limited Number of Projections: Detection/Estimation of Multiple Discs with Unknown RadII. ICIP (2) Song Wang, Bede Liu, Sanjeev R. Kulkarni
1994	J	`jnl`	Local Versus Nonlocal Computation of Length of Digitized Curves. IEEE Trans. Pattern Anal. Mach. Intell. Sanjeev R. Kulkarni, Sanjoy K. Mitter, T. J. Richardson, John N. Tsitsiklis
1994	—	`conf`	Multiresolution Chain Coding of Contours. ICIP (2) J. S. Lerman, Sanjeev R. Kulkarni, Jack Koplowitz
1993	J	`jnl`	Active Learning Using Arbitrary Binary Valued Queries. Mach. Learn. Sanjeev R. Kulkarni, Sanjoy K. Mitter, John N. Tsitsiklis
1993	—	`conf`	Local Versus Non-local Computation of Length of Digitized Curves. FSTTCS Sanjeev R. Kulkarni, Sanjoy K. Mitter, T. J. Richardson, John N. Tsitsiklis
1993	A*	`conf`	On Probably Correct Classification of Concepts. COLT Sanjeev R. Kulkarni, Ofer Zeitouni
1993	A*	`conf`	On-Line Learning of Functions of Bounded Variation under Various Sampling Schemes. COLT S. E. Posner, Sanjeev R. Kulkarni
1993	J	`jnl`	PAC Learning with Generalized Samples and an Applicaiton to Stochastic Geometry. IEEE Trans. Pattern Anal. Mach. Intell. Sanjeev R. Kulkarni, Sanjoy K. Mitter, John N. Tsitsiklis, Ofer Zeitouni
1992	A*	`conf`	PAC Learning With Generalized Samples and an Application to Stochastic Geometry. COLT Sanjeev R. Kulkarni, John N. Tsitsiklis, Sanjoy K. Mitter, Ofer Zeitouni
1991	—	`—`	Problems of computational and informational complexity in machine vision and learning. Sanjeev R. Kulkarni