Problems of computational and informational complexity in machine vision and learning. - Sanjeev R. Kulkarni (1991)

PAC Learning With Generalized Samples and an Application to Stochastic Geometry. - Sanjeev R. Kulkarni; John N. Tsitsiklis; Sanjoy K. Mitter; Ofer Zeitouni (COLT, 1992)

On Probably Correct Classification of Concepts. - Sanjeev R. Kulkarni; Ofer Zeitouni (COLT, 1993)

On-Line Learning of Functions of Bounded Variation under Various Sampling Schemes. - S. E. Posner; Sanjeev R. Kulkarni (COLT, 1993)

Local Versus Non-local Computation of Length of Digitized Curves. - Sanjeev R. Kulkarni; Sanjoy K. Mitter; T. J. Richardson; John N. Tsitsiklis (FSTTCS, 1993)

Active Learning Using Arbitrary Binary Valued Queries. - Sanjeev R. Kulkarni; Sanjoy K. Mitter; John N. Tsitsiklis (Mach. Learn., 1993)

PAC Learning with Generalized Samples and an Applicaiton to Stochastic Geometry. - Sanjeev R. Kulkarni; Sanjoy K. Mitter; John N. Tsitsiklis; Ofer Zeitouni (IEEE Trans. Pattern Anal. Mach. Intell., 1993)

A new technique for block-based motion compensation. - Shinichi Kozu; Sanjeev R. Kulkarni (ICASSP (5), 1994)

Multiresolution Chain Coding of Contours. - J. S. Lerman; Sanjeev R. Kulkarni; Jack Koplowitz (ICIP (2), 1994)

Image Reconstruction from a Limited Number of Projections: Detection/Estimation of Multiple Discs with Unknown RadII. - Song Wang; Bede Liu; Sanjeev R. Kulkarni (ICIP (2), 1994)

Local Versus Nonlocal Computation of Length of Digitized Curves. - Sanjeev R. Kulkarni; Sanjoy K. Mitter; T. J. Richardson; John N. Tsitsiklis (IEEE Trans. Pattern Anal. Mach. Intell., 1994)

A metric entropy bound is not sufficient for learnability. - Richard M. Dudley; Sanjeev R. Kulkarni; T. J. Richardson; Ofer Zeitouni (IEEE Trans. Inf. Theory, 1994)

A paradigm for class identification problems. - Sanjeev R. Kulkarni; David N. C. Tse (IEEE Trans. Inf. Theory, 1994)

Convex shape reconstruction from noisy ray probe measurements. - J. S. Lerman; Sanjeev R. Kulkarni (ICIP, 1995)

A new method for camera motion parameter estimation. - Yap-Peng Tan; Sanjeev R. Kulkarni; Peter J. Ramadge (ICIP, 1995)

Rates of convergence of nearest neighbor estimation under arbitrary sampling. - Sanjeev R. Kulkarni; S. E. Posner (IEEE Trans. Inf. Theory, 1995)

Extracting good features for motion estimation. - Yap-Peng Tan; Sanjeev R. Kulkarni; Peter J. Ramadge (ICIP (1), 1996)

Local tests for consistency of support hyperplane data. - William Clement Karl; Sanjeev R. Kulkarni; George C. Verghese; Alan S. Willsky (J. Math. Imaging Vis., 1996)

An alternative proof for convergence of stochastic approximation algorithms. - Sanjeev R. Kulkarni; C. Horn (IEEE Trans. Autom. Control., 1996)

Model and controller selection policies based on output prediction errors. - Sanjeev R. Kulkarni; Peter J. Ramadge (IEEE Trans. Autom. Control., 1996)

Model-based reconstruction of multiple circular and elliptical objects from a limited number of projections. - Song Wang; Bede Liu; Sanjeev R. Kulkarni (IEEE Trans. Image Process., 1996)

Extended synchronizing codewords for binary prefix codes. - Wai-Man Lam; Sanjeev R. Kulkarni (IEEE Trans. Inf. Theory, 1996)

Automated Analysis and Annotation of Basketball Video. - Drew D. Saur; Yap-Peng Tan; Sanjeev R. Kulkarni; Peter J. Ramadge (Storage and Retrieval for Image and Video Databases (SPIE), 1997)

Weighted averaging and stochastic approximation. - I-Jeng Wang; Edwin K. P. Chong; Sanjeev R. Kulkarni (Math. Control. Signals Syst., 1997)

Covering numbers for real-valued function classes. - Peter L. Bartlett; Sanjeev R. Kulkarni; S. E. Posner (IEEE Trans. Inf. Theory, 1997)

Learning decision rules for pattern classification under a family of probability measures. - Sanjeev R. Kulkarni; M. Vidyasagar (IEEE Trans. Inf. Theory, 1997)

Reduction of Timed Hybrid Systems. - Stefano Di Gennaro; C. Horn; Sanjeev R. Kulkarni; Peter J. Ramadge (Discret. Event Dyn. Syst., 1998)

Computational limitations of model-based recognition. - Haim Schweitzer; Sanjeev R. Kulkarni (Int. J. Intell. Syst., 1998)

Controller switching based on output prediction errors. - Judith Hocherman-Frommer; Sanjeev R. Kulkarni; Peter J. Ramadge (IEEE Trans. Autom. Control., 1998)

Learning Pattern Classification - A Survey. - Sanjeev R. Kulkarni; Gábor Lugosi; Santosh S. Venkatesh (IEEE Trans. Inf. Theory, 1998)

Density Estimation from an Individual Numerical Sequence. - Andrew B. Nobel; Gusztáv Morvai; Sanjeev R. Kulkarni (IEEE Trans. Inf. Theory, 1998)

Source Codes as Random Number Generators. - Karthik Visweswariah; Sanjeev R. Kulkarni; Sergio Verdú (IEEE Trans. Inf. Theory, 1998)

A Framework for Measuring Video Similarity and Its Application to Video Query by Example. - Yap-Peng Tan; Sanjeev R. Kulkarni; Peter J. Ramadge (ICIP (2), 1999)

Nonparametric output prediction for nonlinear fading memory systems. - Sanjeev R. Kulkarni; S. E. Posner (IEEE Trans. Autom. Control., 1999)

Noise Conditions for Prespecified Convergence Rates of Stochastic Approximation Algorithms. - Edwin K. P. Chong; I-Jeng Wang; Sanjeev R. Kulkarni (IEEE Trans. Inf. Theory, 1999)

An Enabling Framework for Master-Worker Applications on the Computational Grid. - Jean-Pierre Goux; Sanjeev Kulkarni 001; Jeff T. Linderoth; Michael Yoder 003 (HPDC, 2000)

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 (ICIP, 2000)

Learning Changing Concepts by Exploiting the Structure of Change. - Peter L. Bartlett; Shai Ben-David; Sanjeev R. Kulkarni (Mach. Learn., 2000)

Finite-time lower bounds for the two-armed bandit problem. - Sanjeev R. Kulkarni; Gábor Lugosi (IEEE Trans. Autom. Control., 2000)

Some contributions to fixed-distribution learning theory. - M. Vidyasagar; Sanjeev R. Kulkarni (IEEE Trans. Autom. Control., 2000)

Rapid estimation of camera motion from compressed video with application to video annotation. - Yap-Peng Tan; Drew D. Saur; Sanjeev R. Kulkarni; Peter J. Ramadge (IEEE Trans. Circuits Syst. Video Technol., 2000)

Universal coding of nonstationary sources. - Karthik Visweswariah; Sanjeev R. Kulkarni; Sergio Verdú (IEEE Trans. Inf. Theory, 2000)

Separation of random number generation and resolvability. - Karthik Visweswariah; Sanjeev R. Kulkarni; Sergio Verdú (IEEE Trans. Inf. Theory, 2000)

Using view interpolation for low bit rate video. - Richard J. Radke; Peter J. Ramadge; Sanjeev R. Kulkarni; Tomio Echigo (ICIP (1), 2001)

Estimating Correspondence in Digital Video. - Richard J. Radke; Vitali Zagorodnov; Sanjeev R. Kulkarni; Peter J. Ramadge (ITCC, 2001)

Master-Worker: An Enabling Framework for Applications on the Computational Grid. - Jean-Pierre Goux; Sanjeev Kulkarni 001; Michael Yoder 003; Jeff T. Linderoth (Clust. Comput., 2001)

Nonparametric control algorithms for nonlinear fading memory systems. - Sathyakama Sandilya; Sanjeev R. Kulkarni (IEEE Trans. Autom. Control., 2001)

Universal variable-to-fixed length source codes. - Karthik Visweswariah; Sanjeev R. Kulkarni; Sergio Verdú (IEEE Trans. Inf. Theory, 2001)

Universal lossless source coding with the Burrows Wheeler Transform. - Michelle Effros; Karthik Visweswariah; Sanjeev R. Kulkarni; Sergio Verdú (IEEE Trans. Inf. Theory, 2002)

Data-dependent kn-NN and kernel estimators consistent for arbitrary processes. - Sanjeev R. Kulkarni; S. E. Posner; Sathyakama Sandilya (IEEE Trans. Inf. Theory, 2002)

Principal curves with bounded turn. - Sathyakama Sandilya; Sanjeev R. Kulkarni (IEEE Trans. Inf. Theory, 2002)

A "Small World" Approach to Heterogeneous Networks. - Sanjeev R. Kulkarni; Alex Reznik; Sergio Verdú (Commun. Inf. Syst., 2003)

Efficiently synthesizing virtual video. - Richard J. Radke; Peter J. Ramadge; Sanjeev R. Kulkarni; Tomio Echigo (IEEE Trans. Circuits Syst. Video Technol., 2003)

Consistency in Models for Communication Constrained Distributed Learning. - Joel B. Predd; Sanjeev R. Kulkarni; Harold Vincent Poor (COLT, 2004)

Consistency in a model for distributed learning with specialists. - Joel B. Predd; Sanjeev R. Kulkarni; H. Vincent Poor (ISIT, 2004)

Scaling laws in random heterogeneous networks. - Alex Reznik; Sanjeev R. Kulkarni; Sergio Verdú (ISIT, 2004)

Universal entropy estimation via block sorting. - Haixiao Cai; Sanjeev R. Kulkarni; Sergio Verdú (IEEE Trans. Inf. Theory, 2004)

Upper bounds to transport capacity of wireless networks. - Aleksandar Jovicic; Pramod Viswanath; Sanjeev R. Kulkarni (IEEE Trans. Inf. Theory, 2004)

A Deterministic Approach to Throughput Scaling in Wireless Networks. - Sanjeev R. Kulkarni; Pramod Viswanath (IEEE Trans. Inf. Theory, 2004)

Degraded Gaussian multirelay channel: capacity and optimal power allocation. - Alex Reznik; Sanjeev R. Kulkarni; Sergio Verdú (IEEE Trans. Inf. Theory, 2004)

Relative Frequencies of Non-homogeneous Markov Chains in Simulated Annealing and Related Algorithms. - Jan Hannig; Edwin K. P. Chong; Sanjeev R. Kulkarni (CDC/ECC, 2005)

Communication-estimation tradeoffs in wireless sensor networks. - Sung-Hyun Son; Sanjeev R. Kulkarni; Stuart C. Schwartz; Mike Roan (ICASSP (5), 2005)

A universal lossless compressor with side information based on context tree weighting. - Haixiao Cai; Sanjeev R. Kulkarni; Sergio Verdú (ISIT, 2005)

A wireless network can achieve maximum throughput without each node meeting all others. - Aurélie C. Lozano; Sanjeev R. Kulkarni (ISIT, 2005)

Broadcast-relay channel: capacity region bounds. - Alex Reznik; Sanjeev R. Kulkarni; Sergio Verdú (ISIT, 2005)

Universal estimation of divergence for continuous distributions via data-dependent partitions. - Qing Wang 055; Sanjeev R. Kulkarni; Sergio Verdú (ISIT, 2005)

Convergence and Consistency of Regularized Boosting Algorithms with Stationary B-Mixing Observations. - Aurélie C. Lozano; Sanjeev R. Kulkarni; Robert E. Schapire (NIPS, 2005)

Arbitrary side observations in bandit problems. - Chih-Chun Wang; Sanjeev R. Kulkarni; H. Vincent Poor (Adv. Appl. Math., 2005)

On the Typicality of the Linear Code Among the LDPC Coset Code Ensemble - Chih-Chun Wang; H. Vincent Poor; Sanjeev R. Kulkarni (CoRR, 2005)

Distributed Regression in Sensor Networks: Training Distributively with Alternating Projections - Joel B. Predd; Sanjeev R. Kulkarni; H. Vincent Poor (CoRR, 2005)

Bandit problems with side observations. - Chih-Chun Wang; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE Trans. Autom. Control., 2005)

Density evolution for asymmetric memoryless channels. - Chih-Chun Wang; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE Trans. Inf. Theory, 2005)

Divergence Estimation of Continuous Distributions Based on Data-Dependent Partitions. - Qing Wang 055; Sanjeev R. Kulkarni; Sergio Verdú (IEEE Trans. Inf. Theory, 2005)

Distributed estimation with dependent observations in wireless sensor networks. - Sung-Hyun Son; Sanjeev R. Kulkarni; Stuart C. Schwartz (EUSIPCO, 2006)

Scalable Algorithms for Aggregating Disparate Forecasts of Probability. - Joel B. Predd; Sanjeev R. Kulkarni; H. Vincent Poor; Daniel N. Osherson (FUSION, 2006)

Convergence and Consistency of Recursive Boosting. - Aurélie C. Lozano; Sanjeev R. Kulkarni (ISIT, 2006)

Strong Consistency of the Good-Turing Estimator. - Aaron B. Wagner; Pramod Viswanath; Sanjeev R. Kulkarni (ISIT, 2006)

Upper Bounding the Performance of Arbitrary Finite LDPC Codes on Binary Erasure Channels. - Chih-Chun Wang; Sanjeev R. Kulkarni; H. Vincent Poor (ISIT, 2006)

A Nearest-Neighbor Approach to Estimating Divergence between Continuous Random Vectors. - Qing Wang 055; Sanjeev R. Kulkarni; Sergio Verdú (ISIT, 2006)

Distributed Kernel Regression: An Algorithm for Training Collaboratively. - Joel B. Predd; Sanjeev R. Kulkarni; H. Vincent Poor (ITW, 2006)

Exhausting Error-Prone Patterns in LDPC Codes - Chih-Chun Wang; Sanjeev R. Kulkarni; H. Vincent Poor (CoRR, 2006)

Finite-Dimensional Bounds on Zm and Binary LDPC Codes with Belief Propagation Decoders - Chih-Chun Wang; Sanjeev R. Kulkarni; H. Vincent Poor (CoRR, 2006)

Relative Frequencies of Generalized Simulated Annealing. - Jan Hannig; Edwin K. P. Chong; Sanjeev R. Kulkarni (Math. Oper. Res., 2006)

Distributed learning in wireless sensor networks. - Joel B. Predd; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE Signal Process. Mag., 2006)

Universal Divergence Estimation for Finite-Alphabet Sources. - Haixiao Cai; Sanjeev R. Kulkarni; Sergio Verdú (IEEE Trans. Inf. Theory, 2006)

An Algorithm for Universal Lossless Compression With Side Information. - Haixiao Cai; Sanjeev R. Kulkarni; Sergio Verdú (IEEE Trans. Inf. Theory, 2006)

Consistency in models for distributed learning under communication constraints. - Joel B. Predd; Sanjeev R. Kulkarni; Harold Vincent Poor (IEEE Trans. Inf. Theory, 2006)

A Better Good-Turing Estimator for Sequence Probabilities. - Aaron B. Wagner; Pramod Viswanath; Sanjeev R. Kulkarni (ISIT, 2007)

Regression estimation from an individual stable sequence. - Gusztáv Morvai; Sanjeev R. Kulkarni; Andrew B. Nobel (CoRR, 2007)

Finite-Dimensional Bounds on BBZm and Binary LDPC Codes With Belief Propagation Decoders. - Chih-Chun Wang; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE Trans. Inf. Theory, 2007)

Throughput scaling in wireless networks with restricted mobility. - Aurélie C. Lozano; Sanjeev R. Kulkarni; Pramod Viswanath (IEEE Trans. Wirel. Commun., 2007)

Dimensionally distributed learning models and algorithm. - Haipeng Zheng; Sanjeev R. Kulkarni; H. Vincent Poor (FUSION, 2008)

Aggregating Probabilistic Forecasts from Incoherent and Abstaining Experts. - Joel B. Predd; Daniel N. Osherson; Sanjeev R. Kulkarni; H. Vincent Poor (Decis. Anal., 2008)

Zero-error target tracking with limited communication. - Hua Li; Patricia R. Barbosa; Edwin K. P. Chong; Jan Hannig; Sanjeev R. Kulkarni (IEEE J. Sel. Areas Commun., 2008)

Minimum energy per bit for Gaussian broadcast channels with common message and cooperating receivers. - Aman Jain; Sanjeev R. Kulkarni; Sergio Verdú (Allerton, 2009)

Aggregating disparate judgments using a coherence penalty. - Guanchun Wang; Sanjeev R. Kulkarni; H. Vincent Poor (CISS, 2009)

Cooperative training for attribute-distributed data: Trade-off between data transmission and performance. - Haipeng Zheng; Sanjeev R. Kulkarni; H. Vincent Poor (FUSION, 2009)

Multicasting in large random wireless networks: Bounds on the minimum energy per bit. - Aman Jain; Sanjeev R. Kulkarni; Sergio Verdú (ISIT, 2009)

Distributed least square for consensus building in sensor networks. - Fernando Pérez-Cruz; Sanjeev R. Kulkarni (ISIT, 2009)

Collaborative Training in Sensor Networks: A graphical model approach - Haipeng Zheng; Sanjeev R. Kulkarni; H. Vincent Poor (CoRR, 2009)

Universal Estimation of Information Measures for Analog Sources. - Qing Wang 055; Sanjeev R. Kulkarni; Sergio Verdú (Found. Trends Commun. Inf. Theory, 2009)

A Collaborative Training Algorithm for Distributed Learning. - Joel B. Predd; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE Trans. Inf. Theory, 2009)

Probabilistic coherence and proper scoring rules. - Joel B. Predd; Robert Seiringer; Elliott H. Lieb; Daniel N. Osherson; H. Vincent Poor; Sanjeev R. Kulkarni (IEEE Trans. Inf. Theory, 2009)

Finding all small error-prone substructures in LDPC codes. - Chih-Chun Wang; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE Trans. Inf. Theory, 2009)

Divergence estimation for multidimensional densities via k-nearest-neighbor distances. - Qing Wang 055; Sanjeev R. Kulkarni; Sergio Verdú (IEEE Trans. Inf. Theory, 2009)

Can multiple subchannels improve the delay performance of RTS/CTS-based MAC schemes? - Jing Deng 001; Yunghsiang S. Han; Sanjeev R. Kulkarni (IEEE Trans. Wirel. Commun., 2009)

Attribute-distributed learning: The iterative covariance optimization algorithm and its applications. - Haipeng Zheng; Sanjeev R. Kulkarni; H. Vincent Poor (ACC, 2010)

Space-alternating attribute-distributed sparse learning. - Dmitriy Shutin; Haipeng Zheng; Bernard H. Fleury; Sanjeev R. Kulkarni; H. Vincent Poor (CIP, 2010)

Energy efficient lossy transmission over sensor networks with feedback. - Aman Jain; Deniz Gündüz; Sanjeev R. Kulkarni; H. Vincent Poor; Sergio Verdú (ICASSP, 2010)

Agent selection for regression on attribute distributed data. - Haipeng Zheng; Sanjeev R. Kulkarni; H. Vincent Poor (ICASSP, 2010)

Minimum Energy per Bit for Wideband Wireless Multicasting: Performance of Decode-and-Forward. - Aman Jain; Sanjeev R. Kulkarni; Sergio Verdú (INFOCOM, 2010)

Energy-distortion tradeoff with multiple sources and feedback. - Aman Jain; Deniz Gündüz; Sanjeev R. Kulkarni; H. Vincent Poor; Sergio Verdú (ITA, 2010)

Two-Stage Outlier Elimination for Robust Curve and Surface Fitting. - Jieqi Yu; Haipeng Zheng; Sanjeev R. Kulkarni; H. Vincent Poor (EURASIP J. Adv. Signal Process., 2010)

Robust and Low Complexity Distributed Kernel Least Squares Learning in Sensor Networks. - Fernando Pérez-Cruz; Sanjeev R. Kulkarni (IEEE Signal Process. Lett., 2010)

Exploiting spatial diversity in multiagent reinforcement learning based spectrum sensing. - Jarmo Lundén; Visa Koivunen; Sanjeev R. Kulkarni; H. Vincent Poor (CAMSAP, 2011)

Stationary point variational Bayesian attribute-distributed sparse learning with ℓ1 sparsity constraints. - Dmitriy Shutin; Sanjeev R. Kulkarni; H. Vincent Poor (CAMSAP, 2011)

A distributed spring model algorithm for sensor localization using dimension expansion and hyperbolic tangential force. - Jieqi Yu; Sanjeev R. Kulkarni; H. Vincent Poor (CAMSAP, 2011)

Improving aggregated forecasts of probability. - Guanchun Wang; Sanjeev R. Kulkarni; H. Vincent Poor; Daniel N. Osherson (CISS, 2011)

Consensus clustering: The Filtered Stochastic Best-One-Element-Move Algorithm. - Haipeng Zheng; Sanjeev R. Kulkarni; H. Vincent Poor (CISS, 2011)

Mutual information scheduling for ranking. - Hamza Aftab; Nevin Raj; Paul W. Cuff; Sanjeev R. Kulkarni (FUSION, 2011)

Fast adaptive variational sparse Bayesian learning with automatic relevance determination. - Dmitriy Shutin; Thomas Buchgraber; Sanjeev R. Kulkarni; H. Vincent Poor (ICASSP, 2011)

On optimal precoding in wireless multicast systems. - Yiyue Wu; Haipeng Zheng; A. Robert Calderbank; Sanjeev R. Kulkarni; H. Vincent Poor (ICASSP, 2011)

Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models. - Shang Shang; Pan Hui 001; Sanjeev R. Kulkarni; Paul W. Cuff (ICPADS, 2011)

Aggregating Large Sets of Probabilistic Forecasts by Weighted Coherent Adjustment. - Guanchun Wang; Sanjeev R. Kulkarni; H. Vincent Poor; Daniel N. Osherson (Decis. Anal., 2011)

Improving the Visibility of Financial Applications Among Signal Processing Researchers[From the Guest Editors]. - Ilya Pollak; Marco Avellaneda; Emmanuel Bacry; Rama Cont; Sanjeev R. Kulkarni (IEEE Signal Process. Mag., 2011)

Multicasting in Large Wireless Networks: Bounds on the Minimum Energy Per Bit. - Aman Jain; Sanjeev R. Kulkarni; Sergio Verdú (IEEE Trans. Inf. Theory, 2011)

Energy Efficiency of Decode-and-Forward for Wideband Wireless Multicasting. - Aman Jain; Sanjeev R. Kulkarni; Sergio Verdú (IEEE Trans. Inf. Theory, 2011)

Probability Estimation in the Rare-Events Regime. - Aaron B. Wagner; Pramod Viswanath; Sanjeev R. Kulkarni (IEEE Trans. Inf. Theory, 2011)

Fast Variational Sparse Bayesian Learning With Automatic Relevance Determination for Superimposed Signals. - Dmitriy Shutin; Thomas Buchgraber; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE Trans. Signal Process., 2011)

Attribute-Distributed Learning: Models, Limits, and Algorithms. - Haipeng Zheng; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE Trans. Signal Process., 2011)

Condorcet voting methods avoid the paradoxes of voting theory. - Tiance Wang; John Sturm; Paul W. Cuff; Sanjeev R. Kulkarni (Allerton Conference, 2012)

An upper bound on the convergence time for distributed binary consensus. - Shang Shang; Paul W. Cuff; Sanjeev R. Kulkarni; Pan Hui 001 (FUSION, 2012)

A randomwalk based model incorporating social information for recommendations. - Shang Shang; Sanjeev R. Kulkarni; Paul W. Cuff; Pan Hui 001 (MLSP, 2012)

Iterative collaborative filtering for recommender systems with sparse data. - Zhuo Zhang 009; Paul Cuff; Sanjeev R. Kulkarni (MLSP, 2012)

Distributed models for sparse attack construction and state vector estimation in the smart grid. - Mete Ozay; Inaki Esnaola; Fatos T. Yarman-Vural; Sanjeev R. Kulkarni; H. Vincent Poor (SmartGridComm, 2012)

Smarter security in the smart grid. - Mete Ozay; Inaki Esnaola; Fatos T. Yarman-Vural; Sanjeev R. Kulkarni; H. Vincent Poor (SmartGridComm, 2012)

A Random Walk Based Model Incorporating Social Information for Recommendations - Shang Shang; Sanjeev R. Kulkarni; Paul W. Cuff; Pan Hui 001 (CoRR, 2012)

Introduction to the Issue on Signal Processing Methods in Finance and Electronic Trading. - Ali N. Akansu; Sanjeev R. Kulkarni; Marco Avellaneda; Andrew R. Barron (IEEE J. Sel. Top. Signal Process., 2012)

Regularized Variational Bayesian Learning of Echo State Networks with Delay&Sum Readout. - Dmitriy Shutin; Christoph Zechner; Sanjeev R. Kulkarni; H. Vincent Poor (Neural Comput., 2012)

Robust ellipse and spheroid fitting. - Jieqi Yu; Sanjeev R. Kulkarni; H. Vincent Poor (Pattern Recognit. Lett., 2012)

Energy-Distortion Tradeoffs in Gaussian Joint Source-Channel Coding Problems. - Aman Jain; Deniz Gündüz; Sanjeev R. Kulkarni; H. Vincent Poor; Sergio Verdú (IEEE Trans. Inf. Theory, 2012)

Incremental Reformulated Automatic Relevance Determination. - Dmitriy Shutin; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE Trans. Signal Process., 2012)

Measurement and understanding of cyberlocker URL-sharing sites: focus on movie files. - Mengjuan Liu; Zhuo Zhang 009; Pan Hui 001; Yujie Qin; Sanjeev R. Kulkarni (ASONAM, 2013)

Fusion of image segmentation algorithms using consensus clustering. - Mete Ozay; Fatos T. Yarman-Vural; Sanjeev R. Kulkarni; H. Vincent Poor (ICIP, 2013)

An upper bound on the convergence time for quantized consensus. - Shang Shang; Paul W. Cuff; Pan Hui 001; Sanjeev R. Kulkarni (INFOCOM, 2013)

Graph-based detection of shilling attacks in recommender systems. - Zhuo Zhang 009; Sanjeev R. Kulkarni (MLSP, 2013)

Improving augmented reality using recommender systems. - Zhuo Zhang 009; Shang Shang; Sanjeev R. Kulkarni; Pan Hui 001 (RecSys, 2013)

A sequential predictor retraining algorithm and its application to market prediction. - Haipeng Zheng; Sanjeev R. Kulkarni; H. Vincent Poor (Ann. Oper. Res., 2013)

Privacy Preserving Recommendation System Based on Groups - Shang Shang; Yuk Hui; Pan Hui 001; Paul W. Cuff; Sanjeev R. Kulkarni (CoRR, 2013)

Dimension expansion and customized spring potentials for sensor localization. - Jieqi Yu; Sanjeev R. Kulkarni; H. Vincent Poor (EURASIP J. Adv. Signal Process., 2013)

Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. - Mete Ozay; Inaki Esnaola; Fatos T. Yarman-Vural; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE J. Sel. Areas Commun., 2013)

Multiagent Reinforcement Learning Based Spectrum Sensing Policies for Cognitive Radio Networks. - Jarmo Lundén; Sanjeev R. Kulkarni; Visa Koivunen; H. Vincent Poor (IEEE J. Sel. Top. Signal Process., 2013)

Distributed Kalman filtering in the presence of packet delays and losses. - Marc Reinhardt; Benjamin Noack; Sanjeev Kulkarni 001; Uwe D. Hanebeck (FUSION, 2014)

The application of differential privacy for rank aggregation: Privacy and accuracy. - Shang Shang; Tiance Wang; Paul Cuff; Sanjeev R. Kulkarni (FUSION, 2014)

Detection of shilling attacks in recommender systems via spectral clustering. - Zhuo Zhang 009; Sanjeev R. Kulkarni (FUSION, 2014)

Generalized covariance intersection based on noise decomposition. - Marc Reinhardt; Sanjeev Kulkarni 001; Uwe D. Hanebeck (MFI, 2014)

Enabling an augmented reality ecosystem: a content-oriented survey. - Zhuo Zhang 009; Pan Hui 001; Sanjeev R. Kulkarni; Christoph Peylo (MARS@MobiSys, 2014)

Beyond personalization and anonymity: towards a group-based recommender system. - Shang Shang; Yuk Hui; Pan Hui 001; Paul Cuff; Sanjeev R. Kulkarni (SAC, 2014)

Cooperative Caching based on File Popularity Ranking in Delay Tolerant Networks. - Tiance Wang; Pan Hui 001; Sanjeev R. Kulkarni; Paul W. Cuff (CoRR, 2014)

Convergence and Consistency of Regularized Boosting With Weakly Dependent Observations. - Aurélie C. Lozano; Sanjeev R. Kulkarni; Robert E. Schapire (IEEE Trans. Inf. Theory, 2014)

SybilFrame: A Defense-in-Depth Framework for Structure-Based Sybil Detection. - Peng Gao 008; Neil Zhenqiang Gong; Sanjeev R. Kulkarni; Kurt Thomas; Prateek Mittal (CoRR, 2015)

TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking. - Pingmei Xu; Krista A. Ehinger; Yinda Zhang 001; Adam Finkelstein; Sanjeev R. Kulkarni; Jianxiong Xiao (CoRR, 2015)

An Upper Bound on the Convergence Time for Quantized Consensus of Arbitrary Static Graphs. - Shang Shang; Paul Cuff; Pan Hui 001; Sanjeev R. Kulkarni (IEEE Trans. Autom. Control., 2015)

Energy efficiency of wireless cooperation. - Aman Jain; Sanjeev R. Kulkarni; Sergio Verdú (Allerton, 2016)

Spectral bounds for independent cascade model with sensitive edges. - Eun Jee Lee; Sudeep Kamath; Emmanuel Abbe; Sanjeev R. Kulkarni (CISS, 2016)

Machine Learning Methods for Attack Detection in the Smart Grid. - Mete Ozay; Inaki Esnaola; Fatos Tünay Yarman Vural; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE Trans. Neural Networks Learn. Syst., 2016)

Nonbacktracking Bounds on the Influence in Independent Cascade Models. - Emmanuel Abbe; Sanjeev R. Kulkarni; Eun Jee Lee (NIPS, 2017)

SYBILFUSE: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. - Peng Gao 008; Binghui Wang; Neil Zhenqiang Gong; Sanjeev R. Kulkarni; Kurt Thomas; Prateek Mittal (CNS, 2018)

AIQL: Enabling Efficient Attack Investigation from System Monitoring Data. - Peng Gao 008; Xusheng Xiao; Zhichun Li; Fengyuan Xu; Sanjeev R. Kulkarni; Prateek Mittal (USENIX ATC, 2018)

SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection. - Peng Gao 008; Xusheng Xiao; Ding Li 001; Zhichun Li; Kangkook Jee; Zhenyu Wu 003; Chung Hwan Kim; Sanjeev R. Kulkarni; Prateek Mittal (USENIX Security Symposium, 2018)

AIQL: Enabling Efficient Attack Investigation from System Monitoring Data. - Peng Gao 008; Xusheng Xiao; Zhichun Li; Kangkook Jee; Fengyuan Xu; Sanjeev R. Kulkarni; Prateek Mittal (CoRR, 2018)

A Query Tool for Efficiently Investigating Risky Software Behaviors. - Peng Gao 008; Xusheng Xiao; Zhichun Li; Kangkook Jee; Fengyuan Xu; Sanjeev R. Kulkarni; Prateek Mittal (CoRR, 2018)

A Stream-based Query System for Efficiently Detecting Abnormal System Behaviors for Enterprise Security. - Peng Gao 008; Xusheng Xiao; Ding Li 001; Zhichun Li; Kangkook Jee; Zhenyu Wu 003; Chung Hwan Kim; Sanjeev R. Kulkarni; Prateek Mittal (CoRR, 2019)

A Query System for Efficiently Investigating Complex Attack Behaviors for Enterprise Security. - Peng Gao 008; Xusheng Xiao; Zhichun Li; Kangkook Jee; Fengyuan Xu; Sanjeev R. Kulkarni; Prateek Mittal (Proc. VLDB Endow., 2019)

Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection. - Peng Gao 008; Xusheng Xiao; Ding Li 001; Kangkook Jee; Haifeng Chen; Sanjeev R. Kulkarni; Prateek Mittal (ICDE, 2020)

Update Aware Device Scheduling for Federated Learning at the Wireless Edge. - Mohammad Mohammadi Amiri; Deniz Gündüz; Sanjeev R. Kulkarni; H. Vincent Poor (ISIT, 2020)

Federated Learning With Quantized Global Model Updates. - Mohammad Mohammadi Amiri; Deniz Gündüz; Sanjeev R. Kulkarni; H. Vincent Poor (CoRR, 2020)

Generalized Nonbacktracking Bounds on the Influence. - Emmanuel Abbe; Sanjeev R. Kulkarni; Eun Jee Lee (J. Mach. Learn. Res., 2020)

A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence. - Peng Gao 008; Fei Shao; Xiaoyuan Liu; Xusheng Xiao; Haoyuan Liu; Zheng Qin; Fengyuan Xu; Prateek Mittal; Sanjeev R. Kulkarni; Dawn Song (ICDE, 2021)

Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence. - Peng Gao 008; Fei Shao; Xiaoyuan Liu; Xusheng Xiao; Zheng Qin; Fengyuan Xu; Prateek Mittal; Sanjeev R. Kulkarni; Dawn Song (ICDE, 2021)

Federated Learning with Downlink Device Selection. - Mohammad Mohammadi Amiri; Sanjeev R. Kulkarni; H. Vincent Poor (SPAWC, 2021)

Blind Federated Edge Learning. - Mohammad Mohammadi Amiri; Tolga M. Duman; Deniz Gündüz; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE Trans. Wirel. Commun., 2021)

Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge. - Mohammad Mohammadi Amiri; Deniz Gündüz; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE Trans. Wirel. Commun., 2021)

Convergence of Federated Learning Over a Noisy Downlink. - Mohammad Mohammadi Amiri; Deniz Gündüz; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE Trans. Wirel. Commun., 2022)

Byzantine-Robust Clustered Federated Learning. - Zhixu Tao; Kun Yang; Sanjeev R. Kulkarni (CoRR, 2023)

Adversarially robust clustering with optimality guarantees. - Soham Jana; Kun Yang; Sanjeev R. Kulkarni (CoRR, 2023)

CONTRACTFIX: A Framework for Automatically Fixing Vulnerabilities in Smart Contracts. - Pengcheng Fang; Peng Gao 008; Yun Peng; Qingzhao Zhang; Tao Xie 001; Dawn Song; Prateek Mittal; Sanjeev R. Kulkarni; Zhuotao Liu; Xusheng Xiao (CoRR, 2023)

ZeroSwap: Data-driven Optimal Market Making in DeFi. - Viraj Nadkarni; Jiachen Hu; Ranvir Rana; Chi Jin 001; Sanjeev R. Kulkarni; Pramod Viswanath (CoRR, 2023)

Reinforcement learning paycheck optimization for multivariate financial goals. - Melda Alaluf; Giulia Crippa; Sinong Geng; Zijian Jing; Nikhil Krishnan; Sanjeev Kulkarni 001; Wyatt Navarro; Ronnie Sircar; Jonathan Tang (Risk Decis. Anal., 2023)

Thinking Fast and Slow: Data-Driven Adaptive DeFi Borrow-Lending Protocol. - Mahsa Bastankhah; Viraj Nadkarni; Chi Jin 001; Sanjeev Kulkarni 001; Pramod Viswanath (AFT, 2024)

Adaptive Curves for Optimally Efficient Market Making. - Viraj Nadkarni; Sanjeev Kulkarni 001; Pramod Viswanath (AFT, 2024)

Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. - Arman Adibi; Nicolò Dal Fabbro; Luca Schenato 001; Sanjeev R. Kulkarni; H. Vincent Poor; George J. Pappas; Hamed Hassani; Aritra Mitra (AISTATS, 2024)

DASA: Delay-Adaptive Multi-Agent Stochastic Approximation. - Nicolò Dal Fabbro; Arman Adibi; H. Vincent Poor; Sanjeev R. Kulkarni; Aritra Mitra; George J. Pappas (CDC, 2024)

ZeroSwap: Data-Driven Optimal Market Making in Decentralized Finance. - Viraj Nadkarni; Jiachen Hu; Ranvir Rana; Chi Jin 001; Sanjeev Kulkarni 001; Pramod Viswanath (FC (1), 2024)

VFIX: Facilitating Software Maintenance of Smart Contracts via Automatically Fixing Vulnerabilities. - Pengcheng Fang; Peng Gao 008; Yun Peng; Qingzhao Zhang; Tao Xie 001; Dawn Song; Prateek Mittal; Sanjeev R. Kulkarni; Zhuotao Liu; Xusheng Xiao (ICSME, 2024)

Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models. - Xiang Ji; Sanjeev Kulkarni 001; Mengdi Wang; Tengyang Xie (CoRR, 2024)

Thinking Fast and Slow: Data-Driven Adaptive DeFi Borrow-Lending Protocol. - Mahsa Bastankhah; Viraj Nadkarni; Xuechao Wang; Chi Jin 001; Sanjeev Kulkarni 001; Pramod Viswanath (CoRR, 2024)

On the Convergence of a Federated Expectation-Maximization Algorithm. - Zhixu Tao; Rajita Chandak; Sanjeev Kulkarni 001 (CoRR, 2024)

Asymptotically Optimal Change Detection for Unnormalized Pre- and Post-Change Distributions. - Arman Adibi; Sanjeev R. Kulkarni; H. Vincent Poor; Taposh Banerjee; Vahid Tarokh (CoRR, 2024)

Greedy centroid initialization for federated K-means. - Kun Yang; Mohammad Mohammadi Amiri; Sanjeev R. Kulkarni (Knowl. Inf. Syst., 2024)

Task Arithmetic Through The Lens Of One-Shot Federated Learning. - Zhixu Tao; Ian Mason; Sanjeev R. Kulkarni; Xavier Boix (Trans. Mach. Learn. Res., 2025)

Financial Data Analysis with Robust Federated Logistic Regression. - Kun Yang; Nikhil Krishnan; Sanjeev R. Kulkarni (CoRR, 2025)

A Provable Initialization and Robust Clustering Method for General Mixture Models. - Soham Jana; Jianqing Fan; Sanjeev R. Kulkarni (IEEE Trans. Inf. Theory, 2025)