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ORCIDSanjeev R. Kulkarni
Sanjeev Kulkarni 0001
Person information
- affiliation: Princeton University, NJ, USA
- affiliation (PhD 1991): MIT, Cambridge, MA, USA
Other persons with the same name
- Sanjeev Kulkarni 0002 — Twitter Inc.
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2020 – today
- 2024
[j87]Kun Yang, Mohammad Mohammadi Amiri, Sanjeev R. Kulkarni:
Greedy centroid initialization for federated K-means. Knowl. Inf. Syst. 66(6): 3393-3425 (2024)- [c90]Viraj Nadkarni, Sanjeev Kulkarni, Pramod Viswanath:
Adaptive Curves for Optimally Efficient Market Making. AFT 2024: 25:1-25:22 - [c89]Mahsa Bastankhah, Viraj Nadkarni, Chi Jin, Sanjeev Kulkarni, Pramod Viswanath:
Thinking Fast and Slow: Data-Driven Adaptive DeFi Borrow-Lending Protocol. AFT 2024: 27:1-27:23 - [c88]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 - [i56]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) - [i55]Melda Alaluf, Giulia Crippa, Sinong Geng, Zijian Jing, Nikhil Krishnan, Sanjeev Kulkarni, Wyatt Navarro, Ronnie Sircar, Jonathan Tang:
Reinforcement Learning Paycheck Optimization for Multivariate Financial Goals. CoRR abs/2403.06011 (2024) - [i54]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) - [i53]Xiang Ji, Sanjeev Kulkarni, Mengdi Wang, Tengyang Xie:
Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models. CoRR abs/2406.04274 (2024) - [i52]Viraj Nadkarni, Sanjeev Kulkarni, Pramod Viswanath:
Adaptive Curves for Optimally Efficient Market Making. CoRR abs/2406.13794 (2024) - [i51]Mahsa Bastankhah, Viraj Nadkarni, Xuechao Wang, Chi Jin, Sanjeev Kulkarni, Pramod Viswanath:
Thinking Fast and Slow: Data-Driven Adaptive DeFi Borrow-Lending Protocol. CoRR abs/2407.10890 (2024) - [i50]Zhixu Tao, Rajita Chandak, Sanjeev Kulkarni:
On the Convergence of a Federated Expectation-Maximization Algorithm. CoRR abs/2408.05819 (2024) - 2023
- [j86]Melda Alaluf, Giulia Crippa, Sinong Geng, Zijian Jing, Nikhil Krishnan, Sanjeev Kulkarni, Wyatt Navarro, Ronnie Sircar, Jonathan Tang:
Reinforcement learning paycheck optimization for multivariate financial goals. Risk Decis. Anal. 9(1): 11-18 (2023) - [c87]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
- [j85]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
- [j84]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) - [j83]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) - [c86]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 - [c85]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 - [c84]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
- [j82]Emmanuel Abbe, Sanjeev R. Kulkarni, Eun Jee Lee:
Generalized Nonbacktracking Bounds on the Influence. J. Mach. Learn. Res. 21: 31:1-31:36 (2020) - [c83]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 - [c82]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
- [j81]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
- [c81]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 - [c80]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 - [c79]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
- [c78]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
- [j80]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) - [c77]Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú:
Energy efficiency of wireless cooperation. Allerton 2016: 664-671 - [c76]Eun Jee Lee, Sudeep Kamath, Emmanuel Abbe, Sanjeev R. Kulkarni:
Spectral bounds for independent cascade model with sensitive edges. CISS 2016: 649-653 - 2015
- [j79]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
- [j78]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) - [c75]Marc Reinhardt, Benjamin Noack, Sanjeev Kulkarni, Uwe D. Hanebeck:
Distributed Kalman filtering in the presence of packet delays and losses. FUSION 2014: 1-7 - [c74]Shang Shang, Tiance Wang, Paul Cuff, Sanjeev R. Kulkarni:
The application of differential privacy for rank aggregation: Privacy and accuracy. FUSION 2014: 1-7 - [c73]Zhuo Zhang, Sanjeev R. Kulkarni:
Detection of shilling attacks in recommender systems via spectral clustering. FUSION 2014: 1-8 - [c72]Marc Reinhardt, Sanjeev Kulkarni, Uwe D. Hanebeck:
Generalized covariance intersection based on noise decomposition. MFI 2014: 1-8 - [c71]Zhuo Zhang, Pan Hui, Sanjeev R. Kulkarni, Christoph Peylo:
Enabling an augmented reality ecosystem: a content-oriented survey. MARS@MobiSys 2014: 41-46 - [c70]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
- [j77]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) - [j76]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) - [j75]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) - [j74]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) - [c69]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 - [c68]Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Fusion of image segmentation algorithms using consensus clustering. ICIP 2013: 4049-4053 - [c67]Shang Shang, Paul W. Cuff, Pan Hui, Sanjeev R. Kulkarni:
An upper bound on the convergence time for quantized consensus. INFOCOM 2013: 600-604 - [c66]Zhuo Zhang, Sanjeev R. Kulkarni:
Graph-based detection of shilling attacks in recommender systems. MLSP 2013: 1-6 - [c65]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
- [j73]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) - [j72]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) - [j71]Jieqi Yu, Sanjeev R. Kulkarni, H. Vincent Poor:
Robust ellipse and spheroid fitting. Pattern Recognit. Lett. 33(5): 492-499 (2012) - [j70]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) - [j69]Dmitriy Shutin, Sanjeev R. Kulkarni, H. Vincent Poor:
Incremental Reformulated Automatic Relevance Determination. IEEE Trans. Signal Process. 60(9): 4977-4981 (2012) - [c64]Tiance Wang, John Sturm, Paul W. Cuff, Sanjeev R. Kulkarni:
Condorcet voting methods avoid the paradoxes of voting theory. Allerton Conference 2012: 201-203 - [c63]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 - [c62]Shang Shang, Sanjeev R. Kulkarni, Paul W. Cuff, Pan Hui:
A randomwalk based model incorporating social information for recommendations. MLSP 2012: 1-6 - [c61]Zhuo Zhang, Paul Cuff, Sanjeev R. Kulkarni:
Iterative collaborative filtering for recommender systems with sparse data. MLSP 2012: 1-6 - [c60]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 - [c59]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
- [j68]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) - [j67]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) - [j66]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) - [j65]Aaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni:
Probability Estimation in the Rare-Events Regime. IEEE Trans. Inf. Theory 57(6): 3207-3229 (2011) - [j64]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) - [j63]Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor:
Attribute-Distributed Learning: Models, Limits, and Algorithms. IEEE Trans. Signal Process. 59(1): 386-398 (2011) - [j62]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) - [c58]Dmitriy Shutin, Sanjeev R. Kulkarni, H. Vincent Poor:
Stationary point variational Bayesian attribute-distributed sparse learning with ℓ1 sparsity constraints. CAMSAP 2011: 277-280 - [c57]Jarmo Lundén, Visa Koivunen, Sanjeev R. Kulkarni, H. Vincent Poor:
Exploiting spatial diversity in multiagent reinforcement learning based spectrum sensing. CAMSAP 2011: 325-328 - [c56]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 - [c55]Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor, Daniel N. Osherson:
Improving aggregated forecasts of probability. CISS 2011: 1-5 - [c54]Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor:
Consensus clustering: The Filtered Stochastic Best-One-Element-Move Algorithm. CISS 2011: 1-6 - [c53]Hamza Aftab, Nevin Raj, Paul W. Cuff, Sanjeev R. Kulkarni:
Mutual information scheduling for ranking. FUSION 2011: 1-8 - [c52]Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulkarni, H. Vincent Poor:
Fast adaptive variational sparse Bayesian learning with automatic relevance determination. ICASSP 2011: 2180-2183 - [c51]Yiyue Wu, Haipeng Zheng, A. Robert Calderbank, Sanjeev R. Kulkarni, H. Vincent Poor:
On optimal precoding in wireless multicast systems. ICASSP 2011: 3068-3071 - [c50]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
- [j61]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) - [j60]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) - [c49]Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor:
Attribute-distributed learning: The iterative covariance optimization algorithm and its applications. ACC 2010: 6783-6788 - [c48]Dmitriy Shutin, Haipeng Zheng, Bernard H. Fleury, Sanjeev R. Kulkarni, H. Vincent Poor:
Space-alternating attribute-distributed sparse learning. CIP 2010: 209-214 - [c47]Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor:
Agent selection for regression on attribute distributed data. ICASSP 2010: 2242-2245 - [c46]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 - [c45]Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú:
Minimum Energy per Bit for Wideband Wireless Multicasting: Performance of Decode-and-Forward. INFOCOM 2010: 2393-2401 - [c44]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
- [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [j54]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) - [c43]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 - [c42]Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor:
Aggregating disparate judgments using a coherence penalty. CISS 2009: 23-27 - [c41]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 - [c40]Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú:
Multicasting in large random wireless networks: Bounds on the minimum energy per bit. ISIT 2009: 2627-2631 - [c39]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
- [j53]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) - [j52]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) - [c38]Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor:
Dimensionally distributed learning models and algorithm. FUSION 2008: 1-8 - [i16]Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor:
Dimensionally Distributed Learning: Models and Algorithm. CoRR abs/0807.3050 (2008) - 2007
- [j51]Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor:
Finite-Dimensional Bounds on BBZm and Binary LDPC Codes With Belief Propagation Decoders. IEEE Trans. Inf. Theory 53(1): 56-81 (2007) - [j50]Aurélie C. Lozano, Sanjeev R. Kulkarni, Pramod Viswanath:
Throughput scaling in wireless networks with restricted mobility. IEEE Trans. Wirel. Commun. 6(2): 670-679 (2007) - [c37]Aaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni:
A Better Good-Turing Estimator for Sequence Probabilities. ISIT 2007: 2356-2360 - [i15]Aaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni:
A Better Good-Turing Estimator for Sequence Probabilities. CoRR abs/0704.1455 (2007) - [i14]Gusztáv Morvai, Sanjeev R. Kulkarni, Andrew B. Nobel:
Regression estimation from an individual stable sequence. CoRR abs/0710.2496 (2007) - [i13]Andrew B. Nobel, Gusztáv Morvai, Sanjeev R. Kulkarni:
Density estimation from an individual numerical sequence. CoRR abs/0710.2500 (2007) - 2006
- [j49]Jan Hannig, Edwin K. P. Chong, Sanjeev R. Kulkarni:
Relative Frequencies of Generalized Simulated Annealing. Math. Oper. Res. 31(1): 199-216 (2006) - [j48]Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor:
Distributed learning in wireless sensor networks. IEEE Signal Process. Mag. 23(4): 56-69 (2006) - [j47]Joel B. Predd, Sanjeev R. Kulkarni, Harold Vincent Poor:
Consistency in models for distributed learning under communication constraints. IEEE Trans. Inf. Theory 52(1): 52-63 (2006) - [j46]Haixiao Cai, Sanjeev R. Kulkarni, Sergio Verdú:
Universal Divergence Estimation for Finite-Alphabet Sources. IEEE Trans. Inf. Theory 52(8): 3456-3475 (2006) - [j45]Haixiao Cai, Sanjeev R. Kulkarni, Sergio Verdú:
An Algorithm for Universal Lossless Compression With Side Information. IEEE Trans. Inf. Theory 52(9): 4008-4016 (2006) - [c36]Sung-Hyun Son, Sanjeev R. Kulkarni, Stuart C. Schwartz:
Distributed estimation with dependent observations in wireless sensor networks. EUSIPCO 2006: 1-5 - [c35]Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor, Daniel N. Osherson:
Scalable Algorithms for Aggregating Disparate Forecasts of Probability. FUSION 2006: 1-8 - [c34]Qing Wang, Sanjeev R. Kulkarni, Sergio Verdú:
A Nearest-Neighbor Approach to Estimating Divergence between Continuous Random Vectors. ISIT 2006: 242-246 - [c33]Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor:
Upper Bounding the Performance of Arbitrary Finite LDPC Codes on Binary Erasure Channels. ISIT 2006: 411-415 - [c32]Aurélie C. Lozano, Sanjeev R. Kulkarni:
Convergence and Consistency of Recursive Boosting. ISIT 2006: 2185-2189 - [c31]Aaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni:
Strong Consistency of the Good-Turing Estimator. ISIT 2006: 2526-2530 - [c30]Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor:
Distributed Kernel Regression: An Algorithm for Training Collaboratively. ITW 2006: 332-336 - [i12]Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor:
Distributed Kernel Regression: An Algorithm for Training Collaboratively. CoRR abs/cs/0601089 (2006) - [i11]Joel B. Predd, Sanjeev R. Kulkarni, Daniel N. Osherson, H. Vincent Poor:
Scalable Algorithms for Aggregating Disparate Forecasts of Probability. CoRR abs/cs/0601131 (2006) - [i10]Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor:
Upper Bounding the Performance of Arbitrary Finite LDPC Codes on Binary Erasure Channels. CoRR abs/cs/0605086 (2006) - [i9]Aaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni:
Strong Consistency of the Good-Turing Estimator. CoRR abs/cs/0607014 (2006) - [i8]Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor:
Exhausting Error-Prone Patterns in LDPC Codes. CoRR abs/cs/0609046 (2006) - [i7]Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor:
Finite-Dimensional Bounds on Zm and Binary LDPC Codes with Belief Propagation Decoders. CoRR abs/cs/0610052 (2006) - 2005
- [j44]Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor:
Arbitrary side observations in bandit problems. Adv. Appl. Math. 34(4): 903-938 (2005) - [j43]Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor:
Bandit problems with side observations. IEEE Trans. Autom. Control. 50(3): 338-355 (2005) - [j42]Qing Wang, Sanjeev R. Kulkarni, Sergio Verdú:
Divergence Estimation of Continuous Distributions Based on Data-Dependent Partitions. IEEE Trans. Inf. Theory 51(9): 3064-3074 (2005) - [j41]Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor:
Density evolution for asymmetric memoryless channels. IEEE Trans. Inf. Theory 51(12): 4216-4236 (2005) - [c29]Jan Hannig, Edwin K. P. Chong, Sanjeev R. Kulkarni:
Relative Frequencies of Non-homogeneous Markov Chains in Simulated Annealing and Related Algorithms. CDC/ECC 2005: 6626-6631 - [c28]Sung-Hyun Son, Sanjeev R. Kulkarni, Stuart C. Schwartz, Mike Roan:
Communication-estimation tradeoffs in wireless sensor networks. ICASSP (5) 2005: 1065-1068 - [c27]Qing Wang, Sanjeev R. Kulkarni, Sergio Verdú:
Universal estimation of divergence for continuous distributions via data-dependent partitions. ISIT 2005: 152-156 - [c26]Alex Reznik, Sanjeev R. Kulkarni, Sergio Verdú:
Broadcast-relay channel: capacity region bounds. ISIT 2005: 820-824 - [c25]Aurélie C. Lozano, Sanjeev R. Kulkarni:
A wireless network can achieve maximum throughput without each node meeting all others. ISIT 2005: 2119-2123 - [c24]Haixiao Cai, Sanjeev R. Kulkarni, Sergio Verdú:
A universal lossless compressor with side information based on context tree weighting. ISIT 2005: 2340-2344 - [c23]Aurélie C. Lozano, Sanjeev R. Kulkarni, Robert E. Schapire:
Convergence and Consistency of Regularized Boosting Algorithms with Stationary B-Mixing Observations. NIPS 2005: 819-826 - [i6]Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor:
Bandit Problems with Side Observations. CoRR abs/cs/0501063 (2005) - [i5]Chih-Chun Wang, H. Vincent Poor, Sanjeev R. Kulkarni:
On the Typicality of the Linear Code Among the LDPC Coset Code Ensemble. CoRR abs/cs/0502084 (2005) - [i4]Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor:
Consistency in Models for Distributed Learning under Communication Constraints. CoRR abs/cs/0503071 (2005) - [i3]Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor:
Distributed Learning in Wireless Sensor Networks. CoRR abs/cs/0503072 (2005) - [i2]Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor:
Distributed Regression in Sensor Networks: Training Distributively with Alternating Projections. CoRR abs/cs/0507039 (2005) - [i1]Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor:
Density Evolution for Asymmetric Memoryless Channels. CoRR abs/cs/0509014 (2005) - 2004
- [j40]Sanjeev R. Kulkarni, Pramod Viswanath:
A Deterministic Approach to Throughput Scaling in Wireless Networks. IEEE Trans. Inf. Theory 50(6): 1041-1049 (2004) - [j39]Haixiao Cai, Sanjeev R. Kulkarni, Sergio Verdú:
Universal entropy estimation via block sorting. IEEE Trans. Inf. Theory 50(7): 1551-1561 (2004) - [j38]Aleksandar Jovicic, Pramod Viswanath, Sanjeev R. Kulkarni:
Upper bounds to transport capacity of wireless networks. IEEE Trans. Inf. Theory 50(11): 2555-2565 (2004) - [j37]Alex Reznik, Sanjeev R. Kulkarni, Sergio Verdú:
Degraded Gaussian multirelay channel: capacity and optimal power allocation. IEEE Trans. Inf. Theory 50(12): 3037-3046 (2004) - [c22]Joel B. Predd, Sanjeev R. Kulkarni, Harold Vincent Poor:
Consistency in Models for Communication Constrained Distributed Learning. COLT 2004: 442-456 - [c21]Alex Reznik, Sanjeev R. Kulkarni, Sergio Verdú:
Scaling laws in random heterogeneous networks. ISIT 2004: 369 - [c20]Aurélie C. Lozano, Sanjeev R. Kulkarni, Pramod Viswanath:
Throughput scaling in wireless networks with restricted mobility. ISIT 2004: 437 - [c19]Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor:
Consistency in a model for distributed learning with specialists. ISIT 2004: 465 - 2003
- [j36]Sanjeev R. Kulkarni, Alex Reznik, Sergio Verdú:
A "Small World" Approach to Heterogeneous Networks. Commun. Inf. Syst. 3(4): 325-348 (2003) - [j35]Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo:
Efficiently synthesizing virtual video. IEEE Trans. Circuits Syst. Video Technol. 13(4): 325-337 (2003) - 2002
- [j34]Michelle Effros, Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú:
Universal lossless source coding with the Burrows Wheeler Transform. IEEE Trans. Inf. Theory 48(5): 1061-1081 (2002) - [j33]Sanjeev R. Kulkarni, S. E. Posner, Sathyakama Sandilya:
Data-dependent kn-NN and kernel estimators consistent for arbitrary processes. IEEE Trans. Inf. Theory 48(10): 2785-2788 (2002) - [j32]Sathyakama Sandilya, Sanjeev R. Kulkarni:
Principal curves with bounded turn. IEEE Trans. Inf. Theory 48(10): 2789-2793 (2002) - [c18]Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor:
Bandit problems with side observations. CDC 2002: 3988-3993 - 2001
- [j31]Jean-Pierre Goux, Sanjeev Kulkarni, Michael Yoder, Jeff T. Linderoth:
Master-Worker: An Enabling Framework for Applications on the Computational Grid. Clust. Comput. 4(1): 63-70 (2001) - [j30]Sathyakama Sandilya, Sanjeev R. Kulkarni:
Nonparametric control algorithms for nonlinear fading memory systems. IEEE Trans. Autom. Control. 46(7): 1117-1121 (2001) - [j29]Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú:
Universal variable-to-fixed length source codes. IEEE Trans. Inf. Theory 47(4): 1461-1472 (2001) - [c17]Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo:
Using view interpolation for low bit rate video. ICIP (1) 2001: 453-456 - [c16]Richard J. Radke, Vitali Zagorodnov, Sanjeev R. Kulkarni, Peter J. Ramadge:
Estimating Correspondence in Digital Video. ITCC 2001: 196-201 - 2000
- [j28]Peter L. Bartlett, Shai Ben-David, Sanjeev R. Kulkarni:
Learning Changing Concepts by Exploiting the Structure of Change. Mach. Learn. 41(2): 153-174 (2000) - [j27]M. Vidyasagar, Sanjeev R. Kulkarni:
Some contributions to fixed-distribution learning theory. IEEE Trans. Autom. Control. 45(2): 217-234 (2000) - [j26]Sanjeev R. Kulkarni, Gábor Lugosi:
Finite-time lower bounds for the two-armed bandit problem. IEEE Trans. Autom. Control. 45(4): 711-714 (2000) - [j25]Yap-Peng Tan, Drew D. Saur, Sanjeev R. Kulkarni, Peter J. Ramadge:
Rapid estimation of camera motion from compressed video with application to video annotation. IEEE Trans. Circuits Syst. Video Technol. 10(1): 133-146 (2000) - [j24]Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú:
Universal coding of nonstationary sources. IEEE Trans. Inf. Theory 46(4): 1633-1637 (2000) - [j23]Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú:
Separation of random number generation and resolvability. IEEE Trans. Inf. Theory 46(6): 2237-2241 (2000) - [c15]Jean-Pierre Goux, Sanjeev Kulkarni, Jeff T. Linderoth, Michael Yoder:
An Enabling Framework for Master-Worker Applications on the Computational Grid. HPDC 2000: 43-50 - [c14]Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo, Shun-ichi Iisaku:
Recursive Propagation of Correspondences with Applications to the Creation of Virtual Video. ICIP 2000: 250-253
1990 – 1999
- 1999
- [j22]Sanjeev R. Kulkarni, S. E. Posner:
Nonparametric output prediction for nonlinear fading memory systems. IEEE Trans. Autom. Control. 44(1): 29-37 (1999) - [j21]Edwin K. P. Chong, I-Jeng Wang, Sanjeev R. Kulkarni:
Noise Conditions for Prespecified Convergence Rates of Stochastic Approximation Algorithms. IEEE Trans. Inf. Theory 45(2): 810-814 (1999) - [c13]Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge:
A Framework for Measuring Video Similarity and Its Application to Video Query by Example. ICIP (2) 1999: 106-110 - 1998
- [j20]Stefano Di Gennaro, C. Horn, Sanjeev R. Kulkarni, Peter J. Ramadge:
Reduction of Timed Hybrid Systems. Discret. Event Dyn. Syst. 8(4): 343-351 (1998) - [j19]Haim Schweitzer, Sanjeev R. Kulkarni:
Computational limitations of model-based recognition. Int. J. Intell. Syst. 13(5): 431-443 (1998) - [j18]Judith Hocherman-Frommer, Sanjeev R. Kulkarni, Peter J. Ramadge:
Controller switching based on output prediction errors. IEEE Trans. Autom. Control. 43(5): 596-607 (1998) - [j17]Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú:
Source Codes as Random Number Generators. IEEE Trans. Inf. Theory 44(2): 462-471 (1998) - [j16]Andrew B. Nobel, Gusztáv Morvai, Sanjeev R. Kulkarni:
Density Estimation from an Individual Numerical Sequence. IEEE Trans. Inf. Theory 44(2): 537-541 (1998) - [j15]Sanjeev R. Kulkarni, Gábor Lugosi, Santosh S. Venkatesh:
Learning Pattern Classification - A Survey. IEEE Trans. Inf. Theory 44(6): 2178-2206 (1998) - 1997
- [j14]I-Jeng Wang, Edwin K. P. Chong, Sanjeev R. Kulkarni:
Weighted averaging and stochastic approximation. Math. Control. Signals Syst. 10(1): 41-60 (1997) - [j13]Sanjeev R. Kulkarni, M. Vidyasagar:
Learning decision rules for pattern classification under a family of probability measures. IEEE Trans. Inf. Theory 43(1): 154-166 (1997) - [j12]Peter L. Bartlett, Sanjeev R. Kulkarni, S. E. Posner:
Covering numbers for real-valued function classes. IEEE Trans. Inf. Theory 43(5): 1721-1724 (1997) - [c12]Drew D. Saur, Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge:
Automated Analysis and Annotation of Basketball Video. Storage and Retrieval for Image and Video Databases (SPIE) 1997: 176-187 - 1996
- [j11]William Clement Karl, Sanjeev R. Kulkarni, George C. Verghese, Alan S. Willsky:
Local tests for consistency of support hyperplane data. J. Math. Imaging Vis. 6(2-3): 249-267 (1996) - [j10]Sanjeev R. Kulkarni, C. Horn:
An alternative proof for convergence of stochastic approximation algorithms. IEEE Trans. Autom. Control. 41(3): 419-424 (1996) - [j9]Sanjeev R. Kulkarni, Peter J. Ramadge:
Model and controller selection policies based on output prediction errors. IEEE Trans. Autom. Control. 41(11): 1594-1604 (1996) - [j8]Song Wang, Bede Liu, Sanjeev R. Kulkarni:
Model-based reconstruction of multiple circular and elliptical objects from a limited number of projections. IEEE Trans. Image Process. 5(9): 1386-1390 (1996) - [j7]Wai-Man Lam, Sanjeev R. Kulkarni:
Extended synchronizing codewords for binary prefix codes. IEEE Trans. Inf. Theory 42(3): 984-987 (1996) - [c11]Peter L. Bartlett, Shai Ben-David, Sanjeev R. Kulkarni:
Learning Changing Concepts by Exploiting the Structure of Change. COLT 1996: 131-139 - [c10]Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge:
Extracting good features for motion estimation. ICIP (1) 1996: 117-120 - 1995
- [j6]Sanjeev R. Kulkarni, S. E. Posner:
Rates of convergence of nearest neighbor estimation under arbitrary sampling. IEEE Trans. Inf. Theory 41(4): 1028-1039 (1995) - [c9]J. S. Lerman, Sanjeev R. Kulkarni:
Convex shape reconstruction from noisy ray probe measurements. ICIP 1995: 254-257 - [c8]Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge:
A new method for camera motion parameter estimation. ICIP 1995: 406-409 - 1994
- [j5]Sanjeev R. Kulkarni, Sanjoy K. Mitter, T. J. Richardson, John N. Tsitsiklis:
Local Versus Nonlocal Computation of Length of Digitized Curves. IEEE Trans. Pattern Anal. Mach. Intell. 16(7): 711-718 (1994) - [j4]Sanjeev R. Kulkarni, David N. C. Tse:
A paradigm for class identification problems. IEEE Trans. Inf. Theory 40(3): 696-705 (1994) - [j3]Richard M. Dudley, Sanjeev R. Kulkarni, T. J. Richardson, Ofer Zeitouni:
A metric entropy bound is not sufficient for learnability. IEEE Trans. Inf. Theory 40(3): 883-885 (1994) - [c7]Shinichi Kozu, Sanjeev R. Kulkarni:
A new technique for block-based motion compensation. ICASSP (5) 1994: 217-220 - [c6]J. S. Lerman, Sanjeev R. Kulkarni, Jack Koplowitz:
Multiresolution Chain Coding of Contours. ICIP (2) 1994: 615-619 - [c5]Song Wang, Bede Liu, Sanjeev R. Kulkarni:
Image Reconstruction from a Limited Number of Projections: Detection/Estimation of Multiple Discs with Unknown RadII. ICIP (2) 1994: 854-858 - 1993
- [j2]Sanjeev R. Kulkarni, Sanjoy K. Mitter, John N. Tsitsiklis:
Active Learning Using Arbitrary Binary Valued Queries. Mach. Learn. 11: 23-35 (1993) - [j1]Sanjeev R. Kulkarni, Sanjoy K. Mitter, John N. Tsitsiklis, Ofer Zeitouni:
PAC Learning with Generalized Samples and an Applicaiton to Stochastic Geometry. IEEE Trans. Pattern Anal. Mach. Intell. 15(9): 933-942 (1993) - [c4]Sanjeev R. Kulkarni, Ofer Zeitouni:
On Probably Correct Classification of Concepts. COLT 1993: 111-116 - [c3]S. E. Posner, Sanjeev R. Kulkarni:
On-Line Learning of Functions of Bounded Variation under Various Sampling Schemes. COLT 1993: 439-445 - [c2]Sanjeev R. Kulkarni, Sanjoy K. Mitter, T. J. Richardson, John N. Tsitsiklis:
Local Versus Non-local Computation of Length of Digitized Curves. FSTTCS 1993: 94-103 - 1992
- [c1]Sanjeev R. Kulkarni, John N. Tsitsiklis, Sanjoy K. Mitter, Ofer Zeitouni:
PAC Learning With Generalized Samples and an Application to Stochastic Geometry. COLT 1992: 172-179 - 1991
- [b1]Sanjeev R. Kulkarni:
Problems of computational and informational complexity in machine vision and learning. Massachusetts Institute of Technology, Cambridge, MA, USA, 1991
Coauthor Index
Paul W. Cuff
aka: Paul Cuff
aka: Paul Cuff
H. Vincent Poor
aka: Harold Vincent Poor
aka: Harold Vincent Poor
[c88] [i56] [i54] [j85] [j84] [j83] [c84] [i44] [c82] [i43] [i42] [i41] [i40] [j80] [i32] [i31] [i29] [j77] [j76] [j75] [j74] [c68] [j72] [j71] [j70] [j69] [c60] [c59] [j68] [j63] [j62] [c58] [c57] [c56] [c55] [c54] [c52] [c51] [j61] [c49] [c48] [c47] [c46] [c44] [j58] [j57] [j55] [c42] [c41] [i18] [i17] [j53] [c38] [i16] [j51] [j48] [j47] [c35] [c33] [c30] [i12] [i11] [i10] [i8] [i7] [j44] [j43] [j41] [i6] [i5] [i4] [i3] [i2] [i1] [c22] [c19] [c18]
Fatos T. Yarman-Vural
aka: Fatos Tünay Yarman Vural
aka: Fatos Tünay Yarman Vural
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