Sanjeev R. Kulkarni

Orcid: 0000-0002-5308-5250

Affiliations:
  • Princeton University, NJ, USA
  • MIT, Cambridge, MA, USA (PhD 1991)


According to our database1, Sanjeev R. Kulkarni authored at least 198 papers between 1991 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Greedy centroid initialization for federated K-means.
Knowl. Inf. Syst., June, 2024

Asymptotically Optimal Change Detection for Unnormalized Pre- and Post-Change Distributions.
CoRR, 2024

On the Convergence of a Federated Expectation-Maximization Algorithm.
CoRR, 2024

Thinking Fast and Slow: Data-Driven Adaptive DeFi Borrow-Lending Protocol.
CoRR, 2024

Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models.
CoRR, 2024

DASA: Delay-Adaptive Multi-Agent Stochastic Approximation.
CoRR, 2024

Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Adaptive Curves for Optimally Efficient Market Making.
Proceedings of the 6th Conference on Advances in Financial Technologies, 2024

Thinking Fast and Slow: Data-Driven Adaptive DeFi Borrow-Lending Protocol.
Proceedings of the 6th Conference on Advances in Financial Technologies, 2024

2023
Reinforcement learning paycheck optimization for multivariate financial goals.
Risk Decis. Anal., 2023

ZeroSwap: Data-driven Optimal Market Making in DeFi.
CoRR, 2023

CONTRACTFIX: A Framework for Automatically Fixing Vulnerabilities in Smart Contracts.
CoRR, 2023

Adversarially robust clustering with optimality guarantees.
CoRR, 2023

Byzantine-Robust Clustered Federated Learning.
CoRR, 2023

2022
Convergence of Federated Learning Over a Noisy Downlink.
IEEE Trans. Wirel. Commun., 2022

2021
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge.
IEEE Trans. Wirel. Commun., 2021

Blind Federated Edge Learning.
IEEE Trans. Wirel. Commun., 2021

Federated Learning with Downlink Device Selection.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Generalized Nonbacktracking Bounds on the Influence.
J. Mach. Learn. Res., 2020

Federated Learning With Quantized Global Model Updates.
CoRR, 2020

Update Aware Device Scheduling for Federated Learning at the Wireless Edge.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
A Query System for Efficiently Investigating Complex Attack Behaviors for Enterprise Security.
Proc. VLDB Endow., 2019

A Stream-based Query System for Efficiently Detecting Abnormal System Behaviors for Enterprise Security.
CoRR, 2019

2018
A Query Tool for Efficiently Investigating Risky Software Behaviors.
CoRR, 2018

AIQL: Enabling Efficient Attack Investigation from System Monitoring Data.
CoRR, 2018

SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection.
Proceedings of the 27th USENIX Security Symposium, 2018

AIQL: Enabling Efficient Attack Investigation from System Monitoring Data.
Proceedings of the 2018 USENIX Annual Technical Conference, 2018

SYBILFUSE: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection.
Proceedings of the 2018 IEEE Conference on Communications and Network Security, 2018

2017
Nonbacktracking Bounds on the Influence in Independent Cascade Models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Machine Learning Methods for Attack Detection in the Smart Grid.
IEEE Trans. Neural Networks Learn. Syst., 2016

Spectral bounds for independent cascade model with sensitive edges.
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

Energy efficiency of wireless cooperation.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
An Upper Bound on the Convergence Time for Quantized Consensus of Arbitrary Static Graphs.
IEEE Trans. Autom. Control., 2015

TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking.
CoRR, 2015

SybilFrame: A Defense-in-Depth Framework for Structure-Based Sybil Detection.
CoRR, 2015

2014
Convergence and Consistency of Regularized Boosting With Weakly Dependent Observations.
IEEE Trans. Inf. Theory, 2014

Cooperative Caching based on File Popularity Ranking in Delay Tolerant Networks.
CoRR, 2014

Beyond personalization and anonymity: towards a group-based recommender system.
Proceedings of the Symposium on Applied Computing, 2014

Enabling an augmented reality ecosystem: a content-oriented survey.
Proceedings of the 2014 Workshop on Mobile Augmented Reality and Robotic Technology-Based Systems, 2014

Generalized covariance intersection based on noise decomposition.
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014

Detection of shilling attacks in recommender systems via spectral clustering.
Proceedings of the 17th International Conference on Information Fusion, 2014

The application of differential privacy for rank aggregation: Privacy and accuracy.
Proceedings of the 17th International Conference on Information Fusion, 2014

Distributed Kalman filtering in the presence of packet delays and losses.
Proceedings of the 17th International Conference on Information Fusion, 2014

2013
Multiagent Reinforcement Learning Based Spectrum Sensing Policies for Cognitive Radio Networks.
IEEE J. Sel. Top. Signal Process., 2013

Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models.
IEEE J. Sel. Areas Commun., 2013

Dimension expansion and customized spring potentials for sensor localization.
EURASIP J. Adv. Signal Process., 2013

Privacy Preserving Recommendation System Based on Groups
CoRR, 2013

A sequential predictor retraining algorithm and its application to market prediction.
Ann. Oper. Res., 2013

Improving augmented reality using recommender systems.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Graph-based detection of shilling attacks in recommender systems.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

An upper bound on the convergence time for quantized consensus.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

Fusion of image segmentation algorithms using consensus clustering.
Proceedings of the IEEE International Conference on Image Processing, 2013

Measurement and understanding of cyberlocker URL-sharing sites: focus on movie files.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Incremental Reformulated Automatic Relevance Determination.
IEEE Trans. Signal Process., 2012

Energy-Distortion Tradeoffs in Gaussian Joint Source-Channel Coding Problems.
IEEE Trans. Inf. Theory, 2012

Robust ellipse and spheroid fitting.
Pattern Recognit. Lett., 2012

Regularized Variational Bayesian Learning of Echo State Networks with Delay&Sum Readout.
Neural Comput., 2012

Introduction to the Issue on Signal Processing Methods in Finance and Electronic Trading.
IEEE J. Sel. Top. Signal Process., 2012

A Random Walk Based Model Incorporating Social Information for Recommendations
CoRR, 2012

Smarter security in the smart grid.
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

Distributed models for sparse attack construction and state vector estimation in the smart grid.
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

Iterative collaborative filtering for recommender systems with sparse data.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

A randomwalk based model incorporating social information for recommendations.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

An upper bound on the convergence time for distributed binary consensus.
Proceedings of the 15th International Conference on Information Fusion, 2012

Condorcet voting methods avoid the paradoxes of voting theory.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Attribute-Distributed Learning: Models, Limits, and Algorithms.
IEEE Trans. Signal Process., 2011

Fast Variational Sparse Bayesian Learning With Automatic Relevance Determination for Superimposed Signals.
IEEE Trans. Signal Process., 2011

Probability Estimation in the Rare-Events Regime.
IEEE Trans. Inf. Theory, 2011

Energy Efficiency of Decode-and-Forward for Wideband Wireless Multicasting.
IEEE Trans. Inf. Theory, 2011

Multicasting in Large Wireless Networks: Bounds on the Minimum Energy Per Bit.
IEEE Trans. Inf. Theory, 2011

Improving the Visibility of Financial Applications Among Signal Processing Researchers[From the Guest Editors].
IEEE Signal Process. Mag., 2011

Aggregating Large Sets of Probabilistic Forecasts by Weighted Coherent Adjustment.
Decis. Anal., 2011

Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models.
Proceedings of the 17th IEEE International Conference on Parallel and Distributed Systems, 2011

On optimal precoding in wireless multicast systems.
Proceedings of the IEEE International Conference on Acoustics, 2011

Fast adaptive variational sparse Bayesian learning with automatic relevance determination.
Proceedings of the IEEE International Conference on Acoustics, 2011

Mutual information scheduling for ranking.
Proceedings of the 14th International Conference on Information Fusion, 2011

Consensus clustering: The Filtered Stochastic Best-One-Element-Move Algorithm.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

Improving aggregated forecasts of probability.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

A distributed spring model algorithm for sensor localization using dimension expansion and hyperbolic tangential force.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

Stationary point variational Bayesian attribute-distributed sparse learning with ℓ1 sparsity constraints.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

Exploiting spatial diversity in multiagent reinforcement learning based spectrum sensing.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

2010
Robust and Low Complexity Distributed Kernel Least Squares Learning in Sensor Networks.
IEEE Signal Process. Lett., 2010

Two-Stage Outlier Elimination for Robust Curve and Surface Fitting.
EURASIP J. Adv. Signal Process., 2010

Energy-distortion tradeoff with multiple sources and feedback.
Proceedings of the Information Theory and Applications Workshop, 2010

Minimum Energy per Bit for Wideband Wireless Multicasting: Performance of Decode-and-Forward.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

Agent selection for regression on attribute distributed data.
Proceedings of the IEEE International Conference on Acoustics, 2010

Energy efficient lossy transmission over sensor networks with feedback.
Proceedings of the IEEE International Conference on Acoustics, 2010

Space-alternating attribute-distributed sparse learning.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

Attribute-distributed learning: The iterative covariance optimization algorithm and its applications.
Proceedings of the American Control Conference, 2010

2009
Can multiple subchannels improve the delay performance of RTS/CTS-based MAC schemes?
IEEE Trans. Wirel. Commun., 2009

Divergence estimation for multidimensional densities via k-nearest-neighbor distances.
IEEE Trans. Inf. Theory, 2009

Finding all small error-prone substructures in LDPC codes.
IEEE Trans. Inf. Theory, 2009

Probabilistic coherence and proper scoring rules.
IEEE Trans. Inf. Theory, 2009

A Collaborative Training Algorithm for Distributed Learning.
IEEE Trans. Inf. Theory, 2009

Universal Estimation of Information Measures for Analog Sources.
Found. Trends Commun. Inf. Theory, 2009

Collaborative Training in Sensor Networks: A graphical model approach
CoRR, 2009

Distributed least square for consensus building in sensor networks.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Multicasting in large random wireless networks: Bounds on the minimum energy per bit.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Cooperative training for attribute-distributed data: Trade-off between data transmission and performance.
Proceedings of the 12th International Conference on Information Fusion, 2009

Aggregating disparate judgments using a coherence penalty.
Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009

Minimum energy per bit for Gaussian broadcast channels with common message and cooperating receivers.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
Zero-error target tracking with limited communication.
IEEE J. Sel. Areas Commun., 2008

Aggregating Probabilistic Forecasts from Incoherent and Abstaining Experts.
Decis. Anal., 2008

Dimensionally distributed learning models and algorithm.
Proceedings of the 11th International Conference on Information Fusion, 2008

2007
Throughput scaling in wireless networks with restricted mobility.
IEEE Trans. Wirel. Commun., 2007

Finite-Dimensional Bounds on BBZ<sub>m</sub> and Binary LDPC Codes With Belief Propagation Decoders.
IEEE Trans. Inf. Theory, 2007

Regression estimation from an individual stable sequence.
CoRR, 2007

A Better Good-Turing Estimator for Sequence Probabilities.
Proceedings of the IEEE International Symposium on Information Theory, 2007

2006
Consistency in models for distributed learning under communication constraints.
IEEE Trans. Inf. Theory, 2006

An Algorithm for Universal Lossless Compression With Side Information.
IEEE Trans. Inf. Theory, 2006

Universal Divergence Estimation for Finite-Alphabet Sources.
IEEE Trans. Inf. Theory, 2006

Distributed learning in wireless sensor networks.
IEEE Signal Process. Mag., 2006

Relative Frequencies of Generalized Simulated Annealing.
Math. Oper. Res., 2006

Finite-Dimensional Bounds on Zm and Binary LDPC Codes with Belief Propagation Decoders
CoRR, 2006

Exhausting Error-Prone Patterns in LDPC Codes
CoRR, 2006

Distributed Kernel Regression: An Algorithm for Training Collaboratively.
Proceedings of the 2006 IEEE Information Theory Workshop, 2006

A Nearest-Neighbor Approach to Estimating Divergence between Continuous Random Vectors.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Upper Bounding the Performance of Arbitrary Finite LDPC Codes on Binary Erasure Channels.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Strong Consistency of the Good-Turing Estimator.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Convergence and Consistency of Recursive Boosting.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Scalable Algorithms for Aggregating Disparate Forecasts of Probability.
Proceedings of the 9th International Conference on Information Fusion, 2006

Distributed estimation with dependent observations in wireless sensor networks.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
Divergence Estimation of Continuous Distributions Based on Data-Dependent Partitions.
IEEE Trans. Inf. Theory, 2005

Density evolution for asymmetric memoryless channels.
IEEE Trans. Inf. Theory, 2005

Bandit problems with side observations.
IEEE Trans. Autom. Control., 2005

Distributed Regression in Sensor Networks: Training Distributively with Alternating Projections
CoRR, 2005

On the Typicality of the Linear Code Among the LDPC Coset Code Ensemble
CoRR, 2005

Arbitrary side observations in bandit problems.
Adv. Appl. Math., 2005

Convergence and Consistency of Regularized Boosting Algorithms with Stationary B-Mixing Observations.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Universal estimation of divergence for continuous distributions via data-dependent partitions.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

Broadcast-relay channel: capacity region bounds.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

A wireless network can achieve maximum throughput without each node meeting all others.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

A universal lossless compressor with side information based on context tree weighting.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

Communication-estimation tradeoffs in wireless sensor networks.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Relative Frequencies of Non-homogeneous Markov Chains in Simulated Annealing and Related Algorithms.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Degraded Gaussian multirelay channel: capacity and optimal power allocation.
IEEE Trans. Inf. Theory, 2004

A Deterministic Approach to Throughput Scaling in Wireless Networks.
IEEE Trans. Inf. Theory, 2004

Upper bounds to transport capacity of wireless networks.
IEEE Trans. Inf. Theory, 2004

Universal entropy estimation via block sorting.
IEEE Trans. Inf. Theory, 2004

Scaling laws in random heterogeneous networks.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Consistency in a model for distributed learning with specialists.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Consistency in Models for Communication Constrained Distributed Learning.
Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004

2003
Efficiently synthesizing virtual video.
IEEE Trans. Circuits Syst. Video Technol., 2003

A "Small World" Approach to Heterogeneous Networks.
Commun. Inf. Syst., 2003

2002
Principal curves with bounded turn.
IEEE Trans. Inf. Theory, 2002

Data-dependent k<sub>n</sub>-NN and kernel estimators consistent for arbitrary processes.
IEEE Trans. Inf. Theory, 2002

Universal lossless source coding with the Burrows Wheeler Transform.
IEEE Trans. Inf. Theory, 2002

2001
Universal variable-to-fixed length source codes.
IEEE Trans. Inf. Theory, 2001

Nonparametric control algorithms for nonlinear fading memory systems.
IEEE Trans. Autom. Control., 2001

Master-Worker: An Enabling Framework for Applications on the Computational Grid.
Clust. Comput., 2001

Estimating Correspondence in Digital Video.
Proceedings of the 2001 International Symposium on Information Technology (ITCC 2001), 2001

Using view interpolation for low bit rate video.
Proceedings of the 2001 International Conference on Image Processing, 2001

2000
Separation of random number generation and resolvability.
IEEE Trans. Inf. Theory, 2000

Universal coding of nonstationary sources.
IEEE Trans. Inf. Theory, 2000

Rapid estimation of camera motion from compressed video with application to video annotation.
IEEE Trans. Circuits Syst. Video Technol., 2000

Some contributions to fixed-distribution learning theory.
IEEE Trans. Autom. Control., 2000

Finite-time lower bounds for the two-armed bandit problem.
IEEE Trans. Autom. Control., 2000

Learning Changing Concepts by Exploiting the Structure of Change.
Mach. Learn., 2000

Recursive Propagation of Correspondences with Applications to the Creation of Virtual Video.
Proceedings of the 2000 International Conference on Image Processing, 2000

An Enabling Framework for Master-Worker Applications on the Computational Grid.
Proceedings of the Ninth IEEE International Symposium on High Performance Distributed Computing, 2000

1999
Noise Conditions for Prespecified Convergence Rates of Stochastic Approximation Algorithms.
IEEE Trans. Inf. Theory, 1999

Nonparametric output prediction for nonlinear fading memory systems.
IEEE Trans. Autom. Control., 1999

A Framework for Measuring Video Similarity and Its Application to Video Query by Example.
Proceedings of the 1999 International Conference on Image Processing, 1999

1998
Source Codes as Random Number Generators.
IEEE Trans. Inf. Theory, 1998

Density Estimation from an Individual Numerical Sequence.
IEEE Trans. Inf. Theory, 1998

Learning Pattern Classification - A Survey.
IEEE Trans. Inf. Theory, 1998

Controller switching based on output prediction errors.
IEEE Trans. Autom. Control., 1998

Computational limitations of model-based recognition.
Int. J. Intell. Syst., 1998

Reduction of Timed Hybrid Systems.
Discret. Event Dyn. Syst., 1998

1997
Learning decision rules for pattern classification under a family of probability measures.
IEEE Trans. Inf. Theory, 1997

Covering numbers for real-valued function classes.
IEEE Trans. Inf. Theory, 1997

Weighted averaging and stochastic approximation.
Math. Control. Signals Syst., 1997

Automated Analysis and Annotation of Basketball Video.
Proceedings of the Storage and Retrieval for Image and Video Databases V, 1997

1996
Extended synchronizing codewords for binary prefix codes.
IEEE Trans. Inf. Theory, 1996

Model-based reconstruction of multiple circular and elliptical objects from a limited number of projections.
IEEE Trans. Image Process., 1996

Model and controller selection policies based on output prediction errors.
IEEE Trans. Autom. Control., 1996

An alternative proof for convergence of stochastic approximation algorithms.
IEEE Trans. Autom. Control., 1996

Local tests for consistency of support hyperplane data.
J. Math. Imaging Vis., 1996

Extracting good features for motion estimation.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

1995
Rates of convergence of nearest neighbor estimation under arbitrary sampling.
IEEE Trans. Inf. Theory, 1995

A new method for camera motion parameter estimation.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

Convex shape reconstruction from noisy ray probe measurements.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

1994
A paradigm for class identification problems.
IEEE Trans. Inf. Theory, 1994

A metric entropy bound is not sufficient for learnability.
IEEE Trans. Inf. Theory, 1994

Local Versus Nonlocal Computation of Length of Digitized Curves.
IEEE Trans. Pattern Anal. Mach. Intell., 1994

Image Reconstruction from a Limited Number of Projections: Detection/Estimation of Multiple Discs with Unknown RadII.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

Multiresolution Chain Coding of Contours.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

A new technique for block-based motion compensation.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

1993
PAC Learning with Generalized Samples and an Applicaiton to Stochastic Geometry.
IEEE Trans. Pattern Anal. Mach. Intell., 1993

Active Learning Using Arbitrary Binary Valued Queries.
Mach. Learn., 1993

Local Versus Non-local Computation of Length of Digitized Curves.
Proceedings of the Foundations of Software Technology and Theoretical Computer Science, 1993

On-Line Learning of Functions of Bounded Variation under Various Sampling Schemes.
Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, 1993

On Probably Correct Classification of Concepts.
Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, 1993

1992
PAC Learning With Generalized Samples and an Application to Stochastic Geometry.
Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory, 1992

1991
Problems of computational and informational complexity in machine vision and learning.
PhD thesis, 1991


  Loading...