| 2024 | AISTATS | Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. | Arman Adibi, Nicol Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra |
| 2023 | CISS | Greedy Centroid Initialization for Federated K-means. | Kun Yang, Mohammad Mohammadi Amiri, Sanjeev R. Kulkarni |
| 2021 | ICDE | A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence. | Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Haoyuan Liu, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song |
| 2021 | ICDE | Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence. | Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song |
| 2020 | ICDE | Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection. | Peng Gao, Xusheng Xiao, Ding Li, Kangkook Jee, Haifeng Chen, Sanjeev R. Kulkarni, Prateek Mittal |
| 2020 | ISIT | Update Aware Device Scheduling for Federated Learning at the Wireless Edge. | Mohammad Mohammadi Amiri, Deniz Gndz, Sanjeev R. Kulkarni, H. Vincent Poor |
| 2018 | USENIX | AIQL: Enabling Efficient Attack Investigation from System Monitoring Data. | Peng Gao, Xusheng Xiao, Zhichun Li, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal |
| 2016 | CISS | Spectral bounds for independent cascade model with sensitive edges. | Eun Jee Lee, Sudeep Kamath, Emmanuel Abbe, Sanjeev R. Kulkarni |
| 2014 | FUSION | The application of differential privacy for rank aggregation: Privacy and accuracy. | Shang Shang, Tiance Wang, Paul Cuff, Sanjeev R. Kulkarni |
| 2014 | FUSION | Detection of shilling attacks in recommender systems via spectral clustering. | Zhuo Zhang, Sanjeev R. Kulkarni |
| 2014 | Mobisys | Enabling an augmented reality ecosystem: a content-oriented survey. | Zhuo Zhang, Pan Hui, Sanjeev R. Kulkarni, Christoph Peylo |
| 2014 | SAC | Beyond personalization and anonymity: towards a group-based recommender system. | Shang Shang, Yuk Hui, Pan Hui, Paul Cuff, Sanjeev R. Kulkarni |
| 2013 | ICIP | Fusion of image segmentation algorithms using consensus clustering. | Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor |
| 2013 | INFOCOM | An upper bound on the convergence time for quantized consensus. | Shang Shang, Paul W. Cuff, Pan Hui, Sanjeev R. Kulkarni |
| 2013 | RecSys | Improving augmented reality using recommender systems. | Zhuo Zhang, Shang Shang, Sanjeev R. Kulkarni, Pan Hui |
| 2012 | FUSION | An upper bound on the convergence time for distributed binary consensus. | Shang Shang, Paul W. Cuff, Sanjeev R. Kulkarni, Pan Hui |
| 2011 | CISS | Improving aggregated forecasts of probability. | Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor, Daniel N. Osherson |
| 2011 | CISS | Consensus clustering: The Filtered Stochastic Best-One-Element-Move Algorithm. | Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor |
| 2011 | FUSION | Mutual information scheduling for ranking. | Hamza Aftab, Nevin Raj, Paul W. Cuff, Sanjeev R. Kulkarni |
| 2011 | ICASSP | Fast adaptive variational sparse Bayesian learning with automatic relevance determination. | Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulkarni, H. Vincent Poor |
| 2011 | ICASSP | On optimal precoding in wireless multicast systems. | Yiyue Wu, Haipeng Zheng, A. Robert Calderbank, Sanjeev R. Kulkarni, H. Vincent Poor |
| 2011 | ICPADS | Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models. | Shang Shang, Pan Hui, Sanjeev R. Kulkarni, Paul W. Cuff |
| 2010 | ICASSP | Energy efficient lossy transmission over sensor networks with feedback. | Aman Jain, Deniz Gndz, Sanjeev R. Kulkarni, H. Vincent Poor, Sergio Verd |
| 2010 | ICASSP | Agent selection for regression on attribute distributed data. | Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor |
| 2010 | INFOCOM | Minimum Energy per Bit for Wideband Wireless Multicasting: Performance of Decode-and-Forward. | Aman Jain, Sanjeev R. Kulkarni, Sergio Verd |
| 2010 | ITA | Energy-distortion tradeoff with multiple sources and feedback. | Aman Jain, Deniz Gndz, Sanjeev R. Kulkarni, H. Vincent Poor, Sergio Verd |
| 2009 | CISS | Aggregating disparate judgments using a coherence penalty. | Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor |
| 2009 | FUSION | Cooperative training for attribute-distributed data: Trade-off between data transmission and performance. | Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor |
| 2009 | ISIT | Multicasting in large random wireless networks: Bounds on the minimum energy per bit. | Aman Jain, Sanjeev R. Kulkarni, Sergio Verd |
| 2009 | ISIT | Distributed least square for consensus building in sensor networks. | Fernando Prez-Cruz, Sanjeev R. Kulkarni |
| 2008 | FUSION | Dimensionally distributed learning models and algorithm. | Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor |
| 2007 | ISIT | A Better Good-Turing Estimator for Sequence Probabilities. | Aaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni |
| 2006 | FUSION | Scalable Algorithms for Aggregating Disparate Forecasts of Probability. | Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor, Daniel N. Osherson |
| 2006 | ISIT | Convergence and Consistency of Recursive Boosting. | Aurlie C. Lozano, Sanjeev R. Kulkarni |
| 2006 | ISIT | Strong Consistency of the Good-Turing Estimator. | Aaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni |
| 2006 | ISIT | Upper Bounding the Performance of Arbitrary Finite LDPC Codes on Binary Erasure Channels. | Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor |
| 2006 | ISIT | A Nearest-Neighbor Approach to Estimating Divergence between Continuous Random Vectors. | Qing Wang, Sanjeev R. Kulkarni, Sergio Verd |
| 2006 | ITW | Distributed Kernel Regression: An Algorithm for Training Collaboratively. | Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor |
| 2005 | ICASSP | Communication-estimation tradeoffs in wireless sensor networks. | Sung-Hyun Son, Sanjeev R. Kulkarni, Stuart C. Schwartz, Mike Roan |
| 2005 | ISIT | A universal lossless compressor with side information based on context tree weighting. | Haixiao Cai, Sanjeev R. Kulkarni, Sergio Verd |
| 2005 | ISIT | A wireless network can achieve maximum throughput without each node meeting all others. | Aurlie C. Lozano, Sanjeev R. Kulkarni |
| 2005 | ISIT | Broadcast-relay channel: capacity region bounds. | Alex Reznik, Sanjeev R. Kulkarni, Sergio Verd |
| 2005 | ISIT | Universal estimation of divergence for continuous distributions via data-dependent partitions. | Qing Wang, Sanjeev R. Kulkarni, Sergio Verd |
| 2004 | COLT | Consistency in Models for Communication Constrained Distributed Learning. | Joel B. Predd, Sanjeev R. Kulkarni, Harold Vincent Poor |
| 2004 | ISIT | Throughput scaling in wireless networks with restricted mobility. | Aurlie C. Lozano, Sanjeev R. Kulkarni, Pramod Viswanath |
| 2004 | ISIT | Consistency in a model for distributed learning with specialists. | Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor |
| 2004 | ISIT | Scaling laws in random heterogeneous networks. | Alex Reznik, Sanjeev R. Kulkarni, Sergio Verd |
| 2001 | ICIP | Using view interpolation for low bit rate video. | Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo |
| 2000 | ICIP | Recursive Propagation of Correspondences with Applications to the Creation of Virtual Video. | Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo, Shun-ichi Iisaku |
| 1999 | ICIP | A Framework for Measuring Video Similarity and Its Application to Video Query by Example. | Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge |
| 1996 | COLT | Learning Changing Concepts by Exploiting the Structure of Change. | Peter L. Bartlett, Shai Ben-David, Sanjeev R. Kulkarni |
| 1996 | ICIP | Extracting good features for motion estimation. | Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge |
| 1995 | ICIP | Convex shape reconstruction from noisy ray probe measurements. | J. S. Lerman, Sanjeev R. Kulkarni |
| 1995 | ICIP | A new method for camera motion parameter estimation. | Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge |
| 1994 | ICASSP | A new technique for block-based motion compensation. | Shinichi Kozu, Sanjeev R. Kulkarni |
| 1994 | ICIP | Multiresolution Chain Coding of Contours. | J. S. Lerman, Sanjeev R. Kulkarni, Jack Koplowitz |
| 1994 | ICIP | Image Reconstruction from a Limited Number of Projections: Detection/Estimation of Multiple Discs with Unknown RadII. | Song Wang, Bede Liu, Sanjeev R. Kulkarni |
| 1993 | COLT | On Probably Correct Classification of Concepts. | Sanjeev R. Kulkarni, Ofer Zeitouni |
| 1993 | COLT | On-Line Learning of Functions of Bounded Variation under Various Sampling Schemes. | S. E. Posner, Sanjeev R. Kulkarni |
| 1992 | COLT | PAC Learning With Generalized Samples and an Application to Stochastic Geometry. | Sanjeev R. Kulkarni, John N. Tsitsiklis, Sanjoy K. Mitter, Ofer Zeitouni |