Sanjeev Kulkarni | Academic Influence

Q: What Schools Are Affiliated With Sanjeev Kulkarni

Sanjeev Kulkarni is affiliated with the following schools: Imperial College London, Princeton University, Stanford University, Massachusetts Institute of Technology, Clarkson University

Why Is Sanjeev Kulkarni Influential?

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According to Wikipedia, Sanjeev Ramesh Kulkarni is an Indian-born American academic. He is Professor of Electrical Engineering and Dean of the Faculty at Princeton University, where he teaches and conducts research in a broad range of areas including statistical inference, pattern recognition, machine learning, information theory, and signal/image processing. He is also affiliated with the Department of Operations Research and Financial Engineering and the Department of Philosophy. His work in philosophy is joint with Gilbert Harman. Kulkarni served as Associate Dean for Princeton University School of Engineering and Applied Science from 2003–2005, Master of Butler College from 2004-2012, Director of the Keller Center for Innovation in Engineering Education from 2011-2014, and Dean of the Graduate School at Princeton University from 2014-2017.

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Sanjeev Kulkarni's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Machine Learning Methods for Attack Detection in the Smart Grid (2015) (384)
A deterministic approach to throughput scaling in wireless networks (2002) (330)
Distributed learning in wireless sensor networks (2005) (321)
Divergence Estimation for Multidimensional Densities Via $k$-Nearest-Neighbor Distances (2009) (312)
Rapid estimation of camera motion from compressed video with application to video annotation (2000) (254)
The Problem of Induction (2006) (218)
Upper bounds to transport capacity of wireless networks (2004) (210)
Divergence estimation of continuous distributions based on data-dependent partitions (2005) (197)
Learning Pattern Classification - A Survey (1998) (168)
Degraded Gaussian multirelay channel: capacity and optimal power allocation (2004) (147)
Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models (2013) (138)
Bandit problems with side observations (2005) (137)
A Collaborative Training Algorithm for Distributed Learning (2009) (136)
Rates of convergence of nearest neighbor estimation under arbitrary sampling (1995) (134)
Probabilistic Coherence and Proper Scoring Rules (2007) (127)
Automated analysis and annotation of basketball video (1997) (113)
Controller switching based on output prediction errors (1998) (107)
A Nearest-Neighbor Approach to Estimating Divergence between Continuous Random Vectors (2006) (96)
A framework for measuring video similarity and its application to video query by example (1999) (85)
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge (2020) (85)
Density evolution for asymmetric memoryless channels (2005) (82)
Learning Changing Concepts by Exploiting the Structure of Change (2000) (81)
Finite-time lower bounds for the two-armed bandit problem (2000) (76)
Model and controller selection policies based on output prediction errors (1996) (73)
Aggregating Probabilistic Forecasts from Incoherent and Abstaining Experts (2008) (72)
Fast Variational Sparse Bayesian Learning With Automatic Relevance Determination for Superimposed Signals (2011) (67)
Reliable Reasoning: Induction and Statistical Learning Theory (2007) (66)
Active Learning Using Arbitrary Binary Valued Queries (1993) (65)
Federated Learning With Quantized Global Model Updates (2020) (65)
Covering numbers for real-valued function classes (1997) (62)
Universal entropy estimation via block sorting (2004) (62)
Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management (2008) (60)
Multiagent Reinforcement Learning Based Spectrum Sensing Policies for Cognitive Radio Networks (2013) (57)
Attribute-Distributed Learning: Models, Limits, and Algorithms (2011) (56)
Finding All Small Error-Prone Substructures in LDPC Codes (2009) (55)
Principal curves with bounded turn (2000) (55)
A new method for camera motion parameter estimation (1995) (54)
An Elementary Introduction to Statistical Learning Theory (2011) (52)
Capacity and Optimal Resource Allocation in the Degraded Gaussian Relay Channel with Multiple Relays (2002) (51)
Detection of shilling attacks in recommender systems via spectral clustering (2014) (51)
Universal Estimation of Information Measures for Analog Sources (2009) (51)
Reinforcement learning based distributed multiagent sensing policy for cognitive radio networks (2011) (49)
Energy-Distortion Tradeoffs in Gaussian Joint Source-Channel Coding Problems (2012) (49)
Convergence and Consistency of Regularized Boosting Algorithms with Stationary B-Mixing Observations (2005) (48)
Universal Divergence Estimation for Finite-Alphabet Sources (2006) (48)
Convex-polygon estimation from support-line measurements and applications to target reconstruction from laser-radar data (1992) (45)
Blind Federated Edge Learning (2020) (45)
Aggregating Large Sets of Probabilistic Forecasts by Weighted Coherent Adjustment (2011) (45)
The value of clustering in distributed estimation for sensor networks (2005) (44)
Consistency in models for distributed learning under communication constraints (2005) (42)
Update Aware Device Scheduling for Federated Learning at the Wireless Edge (2020) (42)
Equivalent necessary and sufficient conditions on noise sequences for stochastic approximation algorithms (1996) (42)
Source codes as random number generators (1997) (40)
Distributed Kernel Regression: An Algorithm for Training Collaboratively (2006) (39)
Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models (2011) (39)
Broadcast-relay channel: capacity region bounds (2005) (38)
Graph-based detection of shilling attacks in recommender systems (2013) (38)
Convergence of Federated Learning Over a Noisy Downlink (2020) (38)
Regression in sensor networks: training distributively with alternating projections (2005) (36)
Arbitrary side observations in bandit problems (2005) (32)
Strong Consistency of the Good-Turing Estimator (2006) (32)
Robust ellipse and spheroid fitting (2012) (31)
An Algorithm for Universal Lossless Compression With Side Information (2006) (30)
A randomwalk based model incorporating social information for recommendations (2012) (29)
Weighted averaging and stochastic approximation (1996) (27)
Citizen Forecasts of the 2008 U.S. Presidential Election (2012) (26)
Probability Estimation in the Rare-Events Regime (2011) (26)
A "Small World" Approach to Heterogeneous Networks (2003) (25)
Beyond personalization and anonymity: towards a group-based recommender system (2014) (25)
Robust and Low Complexity Distributed Kernel Least Squares Learning in Sensor Networks (2010) (25)
A general classification rule for probability measures (1995) (24)
Cooperative Caching based on File Popularity Ranking in Delay Tolerant Networks (2014) (24)
Tomographic techniques applied to laser radar reflective measurements (1989) (24)
A paradigm for class identification problems (1994) (23)
An Elementary Introduction to Statistical Learning Theory: Kulkarni/Statistical Learning Theory (2011) (23)
On metric entropy, Vapnik-Chervonenkis dimension, and learnability for a class of distributions (1989) (23)
Reduction of Timed Hybrid Systems (1994) (23)
Finite-Dimensional Bounds on ${\BBZ}_m$ and Binary LDPC Codes With Belief Propagation Decoders (2006) (22)
Minimum energy per bit for Gaussian broadcast channels with common message and cooperating receivers (2009) (21)
Fast adaptive variational sparse Bayesian learning with automatic relevance determination (2011) (20)
Problems of computational and informational complexity in machine vision and learning (1991) (20)
An alternative proof for convergence of stochastic approximation algorithms (1996) (20)
Local Versus Nonlocal Computation of Length of Digitized Curves (1994) (20)
Universal variable-to-fixed length source codes (2001) (20)
Output distribution of the Burrows-Wheeler transform (2000) (20)
Distributed models for sparse attack construction and state vector estimation in the smart grid (2012) (19)
Incremental Reformulated Automatic Relevance Determination (2012) (19)
Smarter security in the smart grid (2012) (18)
Combining cost-based and rule-based knowledge in complex resource allocation problems (2006) (18)
Learning decision rules for pattern classification under a family of probability measures (1994) (18)
Exhausting Error-Prone Patterns in LDPC Codes (2006) (17)
Density estimation from an individual numerical sequence (1998) (17)
Data-dependent kn-NN and kernel estimators consistent for arbitrary processes (2002) (17)
A Better Good-Turing Estimator for Sequence Probabilities (2007) (17)
The application of differential privacy for rank aggregation: Privacy and accuracy (2014) (16)
A metric entropy bound is not sufficient for learnability (1994) (16)
Throughput scaling in wireless networks with restricted mobility (2004) (16)
Multicasting in Large Wireless Networks: Bounds on the Minimum Energy Per Bit (2009) (15)
Improving augmented reality using recommender systems (2013) (15)
Communication-estimation tradeoffs in wireless sensor networks (2005) (15)
Dimensionally distributed learning models and algorithm (2008) (15)
An upper bound on the convergence time for quantized consensus (2012) (14)
Regularized Variational Bayesian Learning of Echo State Networks with Delay&Sum Readout (2012) (14)
A deterministic approach to throughput scaling in wireless networks (2002) (14)
Fusion of image segmentation algorithms using consensus clustering (2013) (14)
An existence theorem and lattice approximations for a variational problem arising in computer vision (1990) (14)
PAC Learning with Generalized Samples and an Applicaiton to Stochastic Geometry (1993) (14)
Extracting good features for motion estimation (1996) (12)
Noise Conditions for Prespecified Convergence Rates of Stochastic Approximation Algorithms (1999) (12)
AN INTEGRATED MATLAB SUITE FOR INTRODUCTORY DSP EDUCATION (2000) (12)
An upper bound on the convergence time for distributed binary consensus (2012) (12)
Regression estimation from an individual stable sequence (2007) (12)
Financial Signal Processing and Machine Learning (2016) (12)
Local tests for consistency of support hyperplane data (1996) (12)
Separation of random number generation and resolvability (2000) (11)
Robust fitting of ellipses and spheroids (2009) (11)
Can multiple subchannels improve the delay performance of RTS/CTS-based MAC schemes? (2009) (11)
Relative Frequencies of Generalized Simulated Annealing (2006) (11)
Privacy Preserving Recommendation System Based on Groups (2013) (10)
Universal estimation of entropy and divergence via block sorting (2002) (10)
Two-Stage Outlier Elimination for Robust Curve and Surface Fitting (2010) (10)
Spectral bounds for independent cascade model with sensitive edges (2016) (10)
Value Function Approximation using Hierarchical Aggregation for Multiattribute Resource Management (2004) (9)
Energy Efficiency of Decode-and-Forward for Wideband Wireless Multicasting (2011) (9)
Outlier elimination for robust ellipse and ellipsoid fitting (2009) (9)
Can one decide the type of the mean from the empirical measure (1990) (9)
Generalized covariance intersection based on noise decomposition (2014) (9)
Supervised switched control based on output prediction errors (1995) (8)
Cooperative training for attribute-distributed data: Trade-off between data transmission and performance (2009) (8)
Nonparametric output prediction for nonlinear fading memory systems (1999) (8)
Convergence and Consistency of Regularized Boosting With Weakly Dependent Observations (2014) (8)
Correlated Poisson Processes and Their Applications in Financial Modeling (2016) (8)
Minimum Energy per Bit for Wideband Wireless Multicasting: Performance of Decode-and-Forward (2010) (8)
Iterative collaborative filtering for recommender systems with sparse data (2012) (7)
Upper Bounding the Performance of Arbitrary Finite LDPC Codes on Binary Erasure Channels (2006) (7)
Universal coding of nonstationary sources (2000) (7)
Energy efficient lossy transmission over sensor networks with feedback (2010) (7)
Measurement and understanding of Cyberlocker URL-sharing sites: Focus on movie files (2013) (7)
Model-based reconstruction of multiple circular and elliptical objects from a limited number of projections (1996) (7)
Convex set estimation from support line measurements and applications to target reconstruction from laser radar data (1990) (7)
Recursive propagation of correspondences with applications to the creation of virtual video (2000) (6)
Mutual information scheduling for ranking (2011) (6)
Exploiting spatial diversity in multiagent reinforcement learning based spectrum sensing (2011) (6)
Using view interpolation for low bit rate video (2001) (6)
A universal lossless compressor with side information based on context tree weighting (2005) (6)
Federated Learning with Downlink Device Selection (2021) (6)
Estimating correspondence in digital video (2001) (6)
A sequential predictor retraining algorithm and its application to market prediction (2013) (6)
The complexity of model classes, and smoothing noisy data 1 1 An earlier version of this paper was p (1998) (6)
On Finite-Dimensional Bounds for LDPC-like Codes with Iterative Decoding (2004) (6)
Agent selection for regression on attribute distributed data (2010) (6)
On probably correct classification of concepts (1993) (6)
Multiresolution chain coding of contours (1994) (6)
Nonbacktracking Bounds on the Influence in Independent Cascade Models (2017) (6)
Aggregating Forecasts of Chance from Incoherent and Abstaining Experts (2007) (6)
Efficiently synthesizing virtual video (2003) (6)
Multicasting in large random wireless networks: Bounds on the minimum energy per bit (2009) (5)
An Upper Bound on the Convergence Time for Quantized Consensus of Arbitrary Static Graphs (2012) (5)
Statistical Learning Theory as a Framework for the Philosophy of Induction (2011) (5)
Space-alternating attribute-distributed sparse learning (2010) (5)
Weighted averaging and stochastic approximation (1996) (5)
Scaling laws in random heterogeneous networks (2004) (4)
Learning pattern classification— a survey (invited paper) (2000) (4)
CVaR Minimizations in Support Vector Machines (2016) (4)
Convergence and Consistency of (2006) (4)
On the performance and complexity of a class of hybrid controller switching policies (1997) (4)
PAC learning with generalized samples and an application to stochastic geometry (1992) (4)
Energy-distortion tradeoffs in multiple-access channels with feedback (2010) (4)
On-line learning of functions of bounded variation under various sampling schemes (1993) (4)
Consistency in Models for Communication Constrained Distributed Learning (2004) (4)
Zero-error target tracking with limited communication (2008) (4)
Exact solution of the Poisson-Boltzmann equation for two spheres with fixed surface potentials (1986) (4)
Consistency in a model for distributed learning with specialists (2004) (4)
Distributed Kalman filtering in the presence of packet delays and losses (2014) (4)
On the Typicality of the Linear Code Among the LDPC Coset Code Ensemble (2005) (4)
Controller Switching Based on Output Prediction Errors-Automatic Control, IEEE Transactions on (1998) (4)
Introduction to the Issue on Signal Processing Methods in Finance and Electronic Trading (2012) (4)
Controller switching based on output predictions (1999) (4)
Inductive Simplicity and the Matrix (2003) (3)
Scalable Algorithms for Aggregating Disparate Forecasts of Probability (2006) (3)
Stationary point variational Bayesian attribute-distributed sparse learning with ℓ1 sparsity constraints (2011) (3)
Self-Reflecting Methods of Learning Research (2012) (3)
Model Classes, Approximation, and Metrics for Dynamic Processing of Urban Terrain Data (2013) (3)
On optimal precoding in wireless multicast systems (2011) (3)
A Collaborative Training Algorithm for Multi-Sensor Adaptive Processing (2007) (3)
Consensus clustering: The Filtered Stochastic Best-One-Element-Move Algorithm (2011) (3)
Some contributions to fixed-distribution learning theory (2000) (3)
Enabling an augmented reality ecosystem: a content-oriented survey (2014) (2)
Support Vector Machines (2011) (2)
Distributed least square for consensus building in sensor networks (2009) (2)
Topics in the analysis of universal compression algorithms (1999) (2)
Astrometry of Galactic Compact Objects with Adaptive Optics (2007) (2)
Temporal Causal Modeling (2016) (2)
The Nearest Neighbor Rule (2011) (2)
Clustering in Distributed Incremental Estimation in Wireless Sensor Networks (2006) (2)
Collaborative training in sensor networks: A graphical model approach (2009) (2)
Local Versus Non-local Computation of Length of Digitized Curves (1993) (2)
Financial Signal Processing and Machine Learning: Akansu/Financial Signal Processing and Machine Learning (2016) (2)
Density Evolution for Asymmetric Memoryless Channels: The Perfect Projection Condition and the Typicality of the Linear LDPC Code Ensemble (2004) (2)
Erratum to "Universal Entropy Estimation Via Block Sorting" (2004) (2)
Induction and Simplicity (2006) (2)
Dimension expansion and customized spring potentials for sensor localization (2013) (2)
Improving the Visibility of Financial Applications Among Signal Processing Researchers[From the Guest Editors] (2011) (2)
Universal Lossless Source Coding With the Burrows (2002) (2)
Universal output prediction and nonparametric regression for arbitrary data (1999) (1)
Computational limitations of model-based recognition (1998) (1)
Variational versus Markov random field methods for image segmentation (1994) (1)
A sequential predictor retraining algorithm and its application to market prediction (2013) (1)
10. Multilayer Networks (2011) (1)
Adaptive chain coding for arbitrary curves (1992) (1)
Convergence and Consistency of Recursive Boosting (2006) (1)
$$\sin (\omega x)$$sin(ωx) Can Approximate Almost Every Finite Set of Samples (2015) (1)
Statistical Measures of Dependence for Financial Data (2016) (1)
Convex shape reconstruction from noisy ray probe measurements (1995) (1)
Zero-error target tracking through limited querying of binary sensors (2006) (1)
Universal estimation of divergence for continuous distributions via data-dependent partitions (2005) (1)
The Optimal Bayes Decision Rule (2011) (1)
The Pattern Recognition Problem (2011) (1)
Universal variable-to-fixed length source codes for Markov sources (1998) (1)
Regression Models in Risk Management (2016) (1)
Energy efficiency of wireless cooperation (2016) (1)
A distributed spring model algorithm for sensor localization using dimension expansion and hyperbolic tangential force (2011) (1)
Aggregating disparate judgments using a coherence penalty (2009) (1)
Image reconstruction from a limited number of projections: detection/estimation of multiple discs with unknown radii (1994) (1)
Energy efficiency in wireless networks (2010) (1)
A wireless network can achieve maximum throughput without each node meeting all others (2005) (1)
A cross-validation approach to trajectory and shape reconstruction for rigid bodies (2010) (1)
Attribute-distributed learning: The iterative covariance optimization algorithm and its applications (2010) (1)
Improving aggregated forecasts of probability (2011) (1)
Relative Frequencies of Non-homogeneous Markov Chains in Simulated Annealing and Related Algorithms (2005) (1)
Overview: Financial Signal Processing and Machine Learning (2016) (1)
A new technique for block-based motion compensation (1994) (0)
Distributed learning: regression on attribute-distributed data and consensus clustering (2011) (0)
Learning Function Estimation (2011) (0)
Density Evolution for Asymmetric Memoryless Channels 1 (2003) (0)
The Function Estimation Problem (2011) (0)
8. Kernel Rules (2011) (0)
Wiley Series in Probability and Statistics (2011) (0)
Collaborative Machine Learning at the Wireless Edge with Blind Transmitters (2021) (0)
Review of 'reliable Reasoning' (2013) (0)
September 1989 LIDS-P-1910 On Metric Entropy , Vapnik-Chervonenkis Dimension , and Learnability for a Class of Distributions 1 (1989) (0)
3. Probability Densities (2011) (0)
An Analysis of the Statistics of the HST Kuiper Belt Object Search (1997) (0)
Adaptive Chain Coding for Arbitrary (2008) (0)
An Introduction to Elementary Statistical Learning Theory (2011) (0)
Wishful Thinking and Social Influence in the 2008 U . S . Presidential Election (2011) (0)
Estimation of densities and information measures: An overview and some recent results. (2010) (0)
Energy-distortion tradeoff with multiple sources and feedback (2010) (0)
TheValue ofClustering inDistributed Estimation forSensor Networks (2005) (0)
11. PAC Learning (2011) (0)
Explicit Kernel and Sparsity of Eigen Subspace for the AR(1) Process (2016) (0)
Generalized Nonbacktracking Bounds on the Influence (2020) (0)
A GENERAL CLASSIFICATION RULE FOR PROBABILITY MEASURES 1 (2006) (0)
Efficient algorithms for wireless sensor and satellite communication networks (2006) (0)
Nonparametric control algorithms for nonlinear fading memory systems (1999) (0)
Neural Networks: Perceptrons (2011) (0)
Proper Motion of Compact Objects (2006) (0)
Some discrete approximations to a variational method for image segmentation (1991) (0)
Introduction: Classification, Learning, Features, and Applications (2011) (0)
Bandit problems with side observations (2002) (0)
A Review of Some Extensions to the PAC Learning Model (1996) (0)
( SPECIAL SECTION - DISTRIBUTED SIGNAL PROCESSING IN SENSOR NETWORKS ) (2006) (0)
Learning from Examples (2011) (0)
A Paradigm for Class Identiication Problems (1992) (0)
Response to Shaffer, Thagard, Strevens and Hanson (2009) (0)
RAY PROBE MEASUREMENTS (1995) (0)
A Comprehensive Approach to Fusion for Microsensor Networks: Distributed and Hierarchical Inference, Communication, and Adaption REPORT DOCUMENTATION PAGE (2000) (0)
Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science Proposal for Thesis Research in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy (0)
Distributed estimation with dependent observations in wireless sensor networks (2006) (0)
Extending and Unifying Formal Models for Machine Learning (1997) (0)
Infinite VC Dimension (2011) (0)
Condorcet voting methods avoid the paradoxes of voting theory (2012) (0)
Précis of Reliable Reasoning: Induction and Statistical Learning Theory (2009) (0)

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Other Resources About Sanjeev Kulkarni

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What Schools Are Affiliated With Sanjeev Kulkarni?

Sanjeev Kulkarni is affiliated with the following schools: