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Indian-born American academic

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.

- Machine Learning Methods for Attack Detection in the Smart Grid (2015) (361)
- A deterministic approach to throughput scaling in wireless networks (2002) (325)
- Divergence Estimation for Multidimensional Densities Via $k$-Nearest-Neighbor Distances (2009) (302)
- Distributed learning in wireless sensor networks (2005) (302)
- Rapid estimation of camera motion from compressed video with application to video annotation (2000) (254)
- The Problem of Induction (2006) (211)
- Upper bounds to transport capacity of wireless networks (2004) (206)
- Divergence estimation of continuous distributions based on data-dependent partitions (2005) (191)
- Learning Pattern Classification - A Survey (1998) (168)
- Degraded Gaussian multirelay channel: capacity and optimal power allocation (2004) (145)
- Bandit problems with side observations (2005) (134)
- A Collaborative Training Algorithm for Distributed Learning (2009) (132)
- Rates of convergence of nearest neighbor estimation under arbitrary sampling (1995) (131)
- Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models (2013) (131)
- Probabilistic Coherence and Proper Scoring Rules (2007) (123)
- Automated analysis and annotation of basketball video (1997) (113)
- Controller switching based on output prediction errors (1998) (108)
- A Nearest-Neighbor Approach to Estimating Divergence between Continuous Random Vectors (2006) (94)
- A framework for measuring video similarity and its application to video query by example (1999) (85)
- Density evolution for asymmetric memoryless channels (2005) (81)
- Learning Changing Concepts by Exploiting the Structure of Change (2000) (80)
- Finite-time lower bounds for the two-armed bandit problem (2000) (76)
- Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge (2020) (73)
- Model and controller selection policies based on output prediction errors (1996) (73)
- Aggregating Probabilistic Forecasts from Incoherent and Abstaining Experts (2008) (71)
- Active Learning Using Arbitrary Binary Valued Queries (1993) (65)
- Reliable Reasoning: Induction and Statistical Learning Theory (2007) (64)
- Fast Variational Sparse Bayesian Learning With Automatic Relevance Determination for Superimposed Signals (2011) (63)
- Universal entropy estimation via block sorting (2004) (62)
- Covering numbers for real-valued function classes (1997) (60)
- Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management (2008) (59)
- Multiagent Reinforcement Learning Based Spectrum Sensing Policies for Cognitive Radio Networks (2013) (55)
- A new method for camera motion parameter estimation (1995) (54)
- Attribute-Distributed Learning: Models, Limits, and Algorithms (2011) (54)
- Principal curves with bounded turn (2000) (54)
- Finding All Small Error-Prone Substructures in LDPC Codes (2009) (54)
- Federated Learning With Quantized Global Model Updates (2020) (52)
- Universal Estimation of Information Measures for Analog Sources (2009) (51)
- Detection of shilling attacks in recommender systems via spectral clustering (2014) (51)
- An Elementary Introduction to Statistical Learning Theory (2011) (51)
- Capacity and Optimal Resource Allocation in the Degraded Gaussian Relay Channel with Multiple Relays (2002) (51)
- 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) (47)
- Reinforcement learning based distributed multiagent sensing policy for cognitive radio networks (2011) (46)
- Aggregating Large Sets of Probabilistic Forecasts by Weighted Coherent Adjustment (2011) (45)
- Convex-polygon estimation from support-line measurements and applications to target reconstruction from laser-radar data (1992) (44)
- The value of clustering in distributed estimation for sensor networks (2005) (44)
- Blind Federated Edge Learning (2020) (42)
- Consistency in models for distributed learning under communication constraints (2005) (41)
- Update Aware Device Scheduling for Federated Learning at the Wireless Edge (2020) (40)
- Source codes as random number generators (1997) (40)
- Equivalent necessary and sufficient conditions on noise sequences for stochastic approximation algorithms (1996) (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)
- Regression in sensor networks: training distributively with alternating projections (2005) (36)
- Graph-based detection of shilling attacks in recommender systems (2013) (35)
- Convergence of Federated Learning Over a Noisy Downlink (2020) (33)
- Arbitrary side observations in bandit problems (2005) (32)
- Strong Consistency of the Good-Turing Estimator (2006) (32)
- An Algorithm for Universal Lossless Compression With Side Information (2006) (29)
- Robust ellipse and spheroid fitting (2012) (29)
- A randomwalk based model incorporating social information for recommendations (2012) (29)
- Weighted averaging and stochastic approximation (1996) (27)
- Probability Estimation in the Rare-Events Regime (2011) (26)
- Robust and Low Complexity Distributed Kernel Least Squares Learning in Sensor Networks (2010) (25)
- A "Small World" Approach to Heterogeneous Networks (2003) (25)
- Beyond personalization and anonymity: towards a group-based recommender system (2014) (25)
- Citizen Forecasts of the 2008 U.S. Presidential Election (2012) (25)
- Cooperative Caching based on File Popularity Ranking in Delay Tolerant Networks (2014) (24)
- Tomographic techniques applied to laser radar reflective measurements (1989) (24)
- A general classification rule for probability measures (1995) (24)
- 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)
- A paradigm for class identification problems (1994) (23)
- Reduction of Timed Hybrid Systems (1994) (22)
- 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)
- Universal variable-to-fixed length source codes (2001) (20)
- Local Versus Nonlocal Computation of Length of Digitized Curves (1994) (20)
- Output distribution of the Burrows-Wheeler transform (2000) (20)
- Problems of computational and informational complexity in machine vision and learning (1991) (20)
- Distributed models for sparse attack construction and state vector estimation in the smart grid (2012) (19)
- An alternative proof for convergence of stochastic approximation algorithms (1996) (19)
- Fast adaptive variational sparse Bayesian learning with automatic relevance determination (2011) (19)
- Combining cost-based and rule-based knowledge in complex resource allocation problems (2006) (18)
- Incremental Reformulated Automatic Relevance Determination (2012) (18)
- Exhausting Error-Prone Patterns in LDPC Codes (2006) (17)
- Density estimation from an individual numerical sequence (1998) (17)
- Smarter security in the smart grid (2012) (17)
- Data-dependent kn-NN and kernel estimators consistent for arbitrary processes (2002) (17)
- A Better Good-Turing Estimator for Sequence Probabilities (2007) (17)
- Throughput scaling in wireless networks with restricted mobility (2004) (16)
- A deterministic approach to throughput scaling in wireless networks (2002) (16)
- Learning decision rules for pattern classification under a family of probability measures (1994) (16)
- Dimensionally distributed learning models and algorithm (2008) (15)
- Multicasting in Large Wireless Networks: Bounds on the Minimum Energy Per Bit (2009) (15)
- Communication-estimation tradeoffs in wireless sensor networks (2005) (15)
- Fusion of image segmentation algorithms using consensus clustering (2013) (14)
- Improving augmented reality using recommender systems (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)
- The application of differential privacy for rank aggregation: Privacy and accuracy (2014) (14)
- A metric entropy bound is not sufficient for learnability (1994) (14)
- 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)
- An upper bound on the convergence time for distributed binary consensus (2012) (12)
- Local tests for consistency of support hyperplane data (1996) (12)
- Financial Signal Processing and Machine Learning (2016) (12)
- Noise Conditions for Prespecified Convergence Rates of Stochastic Approximation Algorithms (1999) (12)
- Extracting good features for motion estimation (1996) (12)
- AN INTEGRATED MATLAB SUITE FOR INTRODUCTORY DSP EDUCATION (2000) (12)
- Separation of random number generation and resolvability (2000) (11)
- Can multiple subchannels improve the delay performance of RTS/CTS-based MAC schemes? (2009) (11)
- Relative Frequencies of Generalized Simulated Annealing (2006) (11)
- Robust fitting of ellipses and spheroids (2009) (11)
- Two-Stage Outlier Elimination for Robust Curve and Surface Fitting (2010) (10)
- Privacy Preserving Recommendation System Based on Groups (2013) (10)
- Universal estimation of entropy and divergence via block sorting (2002) (10)
- Spectral bounds for independent cascade model with sensitive edges (2016) (10)
- Regression estimation from an individual stable sequence (2007) (10)
- Can one decide the type of the mean from the empirical measure (1990) (9)
- Value Function Approximation using Hierarchical Aggregation for Multiattribute Resource Management (2004) (9)
- 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)
- Generalized covariance intersection based on noise decomposition (2014) (8)
- Energy Efficiency of Decode-and-Forward for Wideband Wireless Multicasting (2011) (8)
- Cooperative training for attribute-distributed data: Trade-off between data transmission and performance (2009) (8)
- Convergence and Consistency of Regularized Boosting With Weakly Dependent Observations (2014) (8)
- Supervised switched control based on output prediction errors (1995) (8)
- Nonparametric output prediction for nonlinear fading memory systems (1999) (8)
- Outlier elimination for robust ellipse and ellipsoid fitting (2009) (8)
- Energy efficient lossy transmission over sensor networks with feedback (2010) (7)
- Iterative collaborative filtering for recommender systems with sparse data (2012) (7)
- Convex set estimation from support line measurements and applications to target reconstruction from laser radar data (1990) (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)
- Upper Bounding the Performance of Arbitrary Finite LDPC Codes on Binary Erasure Channels (2006) (7)
- On Finite-Dimensional Bounds for LDPC-like Codes with Iterative Decoding (2004) (6)
- Mutual information scheduling for ranking (2011) (6)
- Exploiting spatial diversity in multiagent reinforcement learning based spectrum sensing (2011) (6)
- On probably correct classification of concepts (1993) (6)
- A sequential predictor retraining algorithm and its application to market prediction (2013) (6)
- Recursive propagation of correspondences with applications to the creation of virtual video (2000) (6)
- The complexity of model classes, and smoothing noisy data 1 1 An earlier version of this paper was p (1998) (6)
- Aggregating Forecasts of Chance from Incoherent and Abstaining Experts (2007) (6)
- A universal lossless compressor with side information based on context tree weighting (2005) (6)
- Using view interpolation for low bit rate video (2001) (6)
- Multiresolution chain coding of contours (1994) (6)
- Universal coding of nonstationary sources (2000) (6)
- Estimating correspondence in digital video (2001) (6)
- Efficiently synthesizing virtual video (2003) (6)
- Agent selection for regression on attribute distributed data (2010) (6)
- Statistical Learning Theory as a Framework for the Philosophy of Induction (2011) (5)
- Multicasting in large random wireless networks: Bounds on the minimum energy per bit (2009) (5)
- On equivalence of some noise conditions for stochastic approximation algorithms (1995) (5)
- Federated Learning with Downlink Device Selection (2021) (5)
- Space-alternating attribute-distributed sparse learning (2010) (5)
- An Upper Bound on the Convergence Time for Quantized Consensus of Arbitrary Static Graphs (2012) (5)
- Weighted averaging and stochastic approximation (1996) (5)
- Nonbacktracking Bounds on the Influence in Independent Cascade Models (2017) (5)
- Distributed Kalman filtering in the presence of packet delays and losses (2014) (4)
- Exact solution of the Poisson-Boltzmann equation for two spheres with fixed surface potentials (1986) (4)
- Consistency in Models for Communication Constrained Distributed Learning (2004) (4)
- Convergence and Consistency of (2006) (4)
- Consistency in a model for distributed learning with specialists (2004) (4)
- Energy-distortion tradeoffs in multiple-access channels with feedback (2010) (4)
- Learning pattern classification— a survey (invited paper) (2000) (4)
- CVaR Minimizations in Support Vector Machines (2016) (4)
- Scaling laws in random heterogeneous networks (2004) (4)
- Controller switching based on output predictions (1999) (4)
- On-line learning of functions of bounded variation under various sampling schemes (1993) (4)
- Zero-error target tracking with limited communication (2008) (4)
- PAC learning with generalized samples and an application to stochastic geometry (1992) (4)
- Introduction to the Issue on Signal Processing Methods in Finance and Electronic Trading (2012) (4)
- On the Typicality of the Linear Code Among the LDPC Coset Code Ensemble (2005) (4)
- On the performance and complexity of a class of hybrid controller switching policies (1997) (4)
- Controller Switching Based on Output Prediction Errors-Automatic Control, IEEE Transactions on (1998) (4)
- Self-Reflecting Methods of Learning Research (2012) (3)
- Inductive Simplicity and the Matrix (2003) (3)
- Model Classes, Approximation, and Metrics for Dynamic Processing of Urban Terrain Data (2013) (3)
- Some contributions to fixed-distribution learning theory (2000) (3)
- Scalable Algorithms for Aggregating Disparate Forecasts of Probability (2006) (3)
- On optimal precoding in wireless multicast systems (2011) (3)
- Convergence of the Robbins-Monro algorithm under arbitrary disturbances (1993) (3)
- A Collaborative Training Algorithm for Multi-Sensor Adaptive Processing (2007) (3)
- Stationary point variational Bayesian attribute-distributed sparse learning with ℓ1 sparsity constraints (2011) (3)
- Consensus clustering: The Filtered Stochastic Best-One-Element-Move Algorithm (2011) (3)
- Local Versus Non-local Computation of Length of Digitized Curves (1993) (2)
- The Nearest Neighbor Rule (2011) (2)
- Induction and Simplicity (2006) (2)
- Computational limitations of model‐based recognition (1998) (2)
- Clustering in Distributed Incremental Estimation in Wireless Sensor Networks (2006) (2)
- Support Vector Machines (2011) (2)
- Topics in the analysis of universal compression algorithms (1999) (2)
- Distributed least square for consensus building in sensor networks (2009) (2)
- Universal Lossless Source Coding With the Burrows (2002) (2)
- Dimension expansion and customized spring potentials for sensor localization (2013) (2)
- Convergence of the Kiefer-Wolfowitz algorithm under arbitrary disturbances (1994) (2)
- Enabling an augmented reality ecosystem: a content-oriented survey (2014) (2)
- Improving the Visibility of Financial Applications Among Signal Processing Researchers[From the Guest Editors] (2011) (2)
- Collaborative training in sensor networks: A graphical model approach (2009) (2)
- Astrometry of Galactic Compact Objects with Adaptive Optics (2007) (2)
- Erratum to "Universal Entropy Estimation Via Block Sorting" (2004) (2)
- Density Evolution for Asymmetric Memoryless Channels: The Perfect Projection Condition and the Typicality of the Linear LDPC Code Ensemble (2004) (2)
- Statistical Measures of Dependence for Financial Data (2016) (1)
- Attribute-distributed learning: The iterative covariance optimization algorithm and its applications (2010) (1)
- A distributed spring model algorithm for sensor localization using dimension expansion and hyperbolic tangential force (2011) (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)
- Universal output prediction and nonparametric regression for arbitrary data (1999) (1)
- The Pattern Recognition Problem (2011) (1)
- Regression Models in Risk Management (2016) (1)
- Computational limitations of model-based recognition (1998) (1)
- Adaptive chain coding for arbitrary curves (1992) (1)
- Universal variable-to-fixed length source codes for Markov sources (1998) (1)
- Variational versus Markov random field methods for image segmentation (1994) (1)
- Geometric Aspects Of Tomographic Signal Processing (1991) (1)
- $$\sin (\omega x)$$sin(ωx) Can Approximate Almost Every Finite Set of Samples (2015) (1)
- Estimation by the nearest neighbor rule under arbitrary sampling (1994) (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)
- Temporal Causal Modeling (2016) (1)
- Image reconstruction from a limited number of projections: detection/estimation of multiple discs with unknown radii (1994) (1)
- Overview: Financial Signal Processing and Machine Learning (2016) (1)
- Convex shape reconstruction from noisy ray probe measurements (1995) (1)
- A sequential predictor retraining algorithm and its application to market prediction (2013) (1)
- Convergence and Consistency of Recursive Boosting (2006) (1)
- Energy efficiency of wireless cooperation (2016) (1)
- Energy efficiency in wireless networks (2010) (1)
- 10. Multilayer Networks (2011) (1)
- Improving aggregated forecasts of probability (2011) (1)
- Aggregating disparate judgments using a coherence penalty (2009) (1)
- The Optimal Bayes Decision Rule (2011) (1)
- Relative Frequencies of Non-homogeneous Markov Chains in Simulated Annealing and Related Algorithms (2005) (1)
- Learning Function Estimation (2011) (0)
- A Comprehensive Approach to Fusion for Microsensor Networks: Distributed and Hierarchical Inference, Communication, and Adaption REPORT DOCUMENTATION PAGE (2000) (0)
- An Analysis of the Statistics of the HST Kuiper Belt Object Search (1997) (0)
- Introduction: Classification, Learning, Features, and Applications (2011) (0)
- Nonparametric control algorithms for nonlinear fading memory systems (1999) (0)
- September 1989 LIDS-P-1910 On Metric Entropy , Vapnik-Chervonenkis Dimension , and Learnability for a Class of Distributions 1 (1989) (0)
- An Introduction to Elementary Statistical Learning Theory (2011) (0)
- Review of 'reliable Reasoning' (2013) (0)
- RAY PROBE MEASUREMENTS (1995) (0)
- Distributed learning: regression on attribute-distributed data and consensus clustering (2011) (0)
- Extending and Unifying Formal Models for Machine Learning (1997) (0)
- Wishful Thinking and Social Influence in the 2008 U . S . Presidential Election (2011) (0)
- A GENERAL CLASSIFICATION RULE FOR PROBABILITY MEASURES 1 (2006) (0)
- Energy-distortion tradeoff with multiple sources and feedback (2010) (0)
- Explicit Kernel and Sparsity of Eigen Subspace for the AR(1) Process (2016) (0)
- A Review of Some Extensions to the PAC Learning Model (1996) (0)
- Financial Signal Processing and Machine Learning: Akansu/Financial Signal Processing and Machine Learning (2016) (0)
- On the existence of strongly consistent rules for estimation and classification (1995) (0)
- 3. Probability Densities (2011) (0)
- 11. PAC Learning (2011) (0)
- ( SPECIAL SECTION - DISTRIBUTED SIGNAL PROCESSING IN SENSOR NETWORKS ) (2006) (0)
- Infinite VC Dimension (2011) (0)
- Estimation of densities and information measures: An overview and some recent results. (2010) (0)
- A new technique for block-based motion compensation (1994) (0)
- Wiley Series in Probability and Statistics (2011) (0)
- Density Evolution for Asymmetric Memoryless Channels 1 (2003) (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)
- Bandit problems with side observations (2002) (0)
- Finite-memory hypothesis testing with semi-bounded likelihood ratio (1997) (0)
- Generalized Nonbacktracking Bounds on the Influence (2020) (0)
- Distributed estimation with dependent observations in wireless sensor networks (2006) (0)
- Neural Networks: Perceptrons (2011) (0)
- Précis of Reliable Reasoning: Induction and Statistical Learning Theory (2009) (0)
- Consistency and rates of convergence of k/sub n/ nearest neighbor estimation under arbitrary sampling (1994) (0)
- Proper Motion of Compact Objects (2006) (0)
- A Paradigm for Class Identiication Problems (1992) (0)
- 8. Kernel Rules (2011) (0)
- Condorcet voting methods avoid the paradoxes of voting theory (2012) (0)
- Collaborative Machine Learning at the Wireless Edge with Blind Transmitters (2021) (0)
- Response to Shaffer, Thagard, Strevens and Hanson (2009) (0)
- Efficient algorithms for wireless sensor and satellite communication networks (2006) (0)
- TheValue ofClustering inDistributed Estimation forSensor Networks (2005) (0)
- Adaptive Chain Coding for Arbitrary (2008) (0)
- Some discrete approximations to a variational method for image segmentation (1991) (0)
- The Function Estimation Problem (2011) (0)
- Learning from Examples (2011) (0)

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