Karthikeyan Shanmugam

According to our database1, Karthikeyan Shanmugam authored at least 61 papers between 2005 and 2020.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Fair Data Integration.
CoRR, 2020

Warm Starting Bandits with Side Information from Confounded Data.
CoRR, 2020

Learning Global Transparent Models from Local Contrastive Explanations.
CoRR, 2020

Invariant Risk Minimization Games.
CoRR, 2020

Finite-Sample Analysis of Stochastic Approximation Using Smooth Convex Envelopes.
CoRR, 2020

Combinatorial Black-Box Optimization with Expert Advice.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020


Privacy Enhanced Decision Tree Inference.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Multi-Channel Neural Graphical Event Model with Negative Evidence.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Event-Driven Continuous Time Bayesian Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Efficient Algorithms for Coded Multicasting in Heterogeneous Caching Networks.
Entropy, 2019

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques.
CoRR, 2019

Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions.
CoRR, 2019

Model Agnostic Contrastive Explanations for Structured Data.
CoRR, 2019

Leveraging Simple Model Predictions for Enhancing its Performance.
CoRR, 2019

Generating Contrastive Explanations with Monotonic Attribute Functions.
CoRR, 2019

Differentially Private Distributed Data Summarization under Covariate Shift.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sample Efficient Active Learning of Causal Trees.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Blockchain Enabled AI Marketplace: The Price You Pay for Trust.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Size of Interventional Markov Equivalence Classes in random DAG models.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Mimic and Classify : A meta-algorithm for Conditional Independence Testing.
CoRR, 2018

Structure Learning from Time Series with False Discovery Control.
CoRR, 2018

From Centralized to Decentralized Coded Caching.
CoRR, 2018

Improving Simple Models with Confidence Profiles.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Contextual Bandits with Stochastic Experts.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Sparse Quadratic Logistic Regression in Sub-quadratic Time.
CoRR, 2017

Causal Best Intervention Identification via Importance Sampling.
CoRR, 2017

A Formal Framework to Characterize Interpretability of Procedures.
CoRR, 2017

TIP: Typifying the Interpretability of Procedures.
CoRR, 2017

Model-Powered Conditional Independence Test.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Experimental Design for Learning Causal Graphs with Latent Variables.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Coded caching with linear subpacketization is possible using Ruzsa-Szeméredi graphs.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Identifying Best Interventions through Online Importance Sampling.
Proceedings of the 34th International Conference on Machine Learning, 2017

Contextual Bandits with Latent Confounders: An NMF Approach.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

A unified Ruzsa-Szemerédi framework for finite-length coded caching.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Finite-Length Analysis of Caching-Aided Coded Multicasting.
IEEE Trans. Inf. Theory, 2016

Latent Contextual Bandits: A Non-Negative Matrix Factorization Approach.
CoRR, 2016

Distributed Estimation of Graph 4-Profiles.
Proceedings of the 25th International Conference on World Wide Web, 2016

2015
Learning Causal Graphs with Small Interventions.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

On approximating the sum-rate for multiple-unicasts.
Proceedings of the IEEE International Symposium on Information Theory, 2015

An efficient multiple-groupcast coded multicasting scheme for finite fractional caching.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

2014
A Repair Framework for Scalar MDS Codes.
IEEE J. Sel. Areas Commun., 2014

A Smoothed Analysis for Learning Sparse Polynomials.
CoRR, 2014

On the Information Theoretic Limits of Learning Ising Models.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Sparse Polynomial Learning and Graph Sketching.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Graph theory versus minimum rank for index coding.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Bounding multiple unicasts through index coding and Locally Repairable Codes.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013
FemtoCaching: Wireless Content Delivery Through Distributed Caching Helpers.
IEEE Trans. Inf. Theory, 2013

Local graph coloring and index coding.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Index coding problem with side information repositories.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
Wireless downloading delay under proportional fair scheduling with coupled service and requests: An approximated analysis.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

FemtoCaching: Wireless video content delivery through distributed caching helpers.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Wireless video content delivery through coded distributed caching.
Proceedings of IEEE International Conference on Communications, 2012

2011
An Approach for Validation of Digital Anti-Forensic Evidence.
Inf. Secur. J. A Glob. Perspect., 2011

2010
Rate Gap Analysis for Rate-Adaptive Antenna Selection and Beamforming Schemes.
Proceedings of the Global Communications Conference, 2010

2005
Real Time Vision-based Control of a Carrom Playing Robot.
Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005


  Loading...