Murat Kocaoglu

According to our database, Murat Kocaoglu authored at least 43 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand.

Md Musfiqur Rahman, Matt Jordan, Murat Kocaoglu

CoRR, 2024

Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference.

Md Musfiqur Rahman, Murat Kocaoglu

CoRR, 2024

2023

Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models.

Sean Kulinski, Zeyu Zhou, Ruqi Bai, Murat Kocaoglu, David I. Inouye

CoRR, 2023

Finding Invariant Predictors Efficiently via Causal Structure.

Kenneth Lee, Md Musfiqur Rahman, Murat Kocaoglu

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders.

Lai Wei, Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge.

Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Characterization and Learning of Causal Graphs with Small Conditioning Sets.

Murat Kocaoglu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Causal Discovery in Semi-Stationary Time Series.

Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Approximate Causal Effect Identification under Weak Confounding.

Ziwei Jiang, Lai Wei, Murat Kocaoglu

Proceedings of the International Conference on Machine Learning, 2023

Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier.

Spencer Compton, Dmitriy Katz, Benjamin Qi, Kristjan H. Greenewald, Murat Kocaoglu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Root Cause Analysis of Failures in Microservices through Causal Discovery.

Azam Ikram, Sarthak Chakraborty, Subrata Mitra, Shiv Kumar Saini, Saurabh Bagchi, Murat Kocaoglu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Entropic Causal Inference: Graph Identifiability.

Spencer Compton, Kristjan H. Greenewald, Dmitriy A. Katz, Murat Kocaoglu

Proceedings of the International Conference on Machine Learning, 2022

2021

Conditionally independent data generation.

Kartik Ahuja, Prasanna Sattigeri, Karthikeyan Shanmugam, Dennis Wei, Karthikeyan Natesan Ramamurthy, Murat Kocaoglu

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

Active Structure Learning of Causal DAGs via Directed Clique Tree.

Chandler Squires, Sara Magliacane, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam

CoRR, 2020

Active Structure Learning of Causal DAGs via Directed Clique Trees.

Chandler Squires, Sara Magliacane, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Applications of Common Entropy for Causal Inference.

Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis, Constantine Caramanis, Sriram Vishwanath

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning.

Amin Jaber, Murat Kocaoglu, Karthikeyan Shanmugam, Elias Bareinboim

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Entropic Causal Inference: Identifiability and Finite Sample Results.

Spencer Compton, Murat Kocaoglu, Kristjan H. Greenewald, Dmitriy Katz

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Reports of the AAAI 2019 Spring Symposium Series.

Ioana Baldini, Clark W. Barrett, Antonio Chella, Carlos Cinelli, David Gamez, Leilani H. Gilpin, Knut Hinkelmann, Dylan Holmes, Takashi Kido, Murat Kocaoglu, William F. Lawless, Alessio Lomuscio, Jamie C. Macbeth, Andreas Martin, Ranjeev Mittu, Evan Patterson, Donald Sofge, Prasad Tadepalli, Keiki Takadama, Shomir Wilson

AI Mag., 2019

Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions.

Murat Kocaoglu, Amin Jaber, Karthikeyan Shanmugam, Elias Bareinboim

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.

Kristjan H. Greenewald, Dmitriy Katz, Karthikeyan Shanmugam, Sara Magliacane, Murat Kocaoglu, Enric Boix Adserà, Guy Bresler

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Entropic Latent Variable Discovery.

Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis, Constantine Caramanis, Sriram Vishwanath

CoRR, 2018

Experimental Design for Cost-Aware Learning of Causal Graphs.

Erik M. Lindgren, Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training.

Murat Kocaoglu, Christopher Snyder, Alexandros G. Dimakis, Sriram Vishwanath

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Energy Minimization With Network Coding via Latin Hypercubes.

Murat Kocaoglu, Özgür B. Akan

IEEE Syst. J., 2017

Sparse Quadratic Logistic Regression in Sub-quadratic Time.

Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sujay Sanghavi

CoRR, 2017

Entropic Causality and Greedy Minimum Entropy Coupling.

Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi

CoRR, 2017

Experimental Design for Learning Causal Graphs with Latent Variables.

Murat Kocaoglu, Karthikeyan Shanmugam, Elias Bareinboim

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Entropie causality anc greedy minimum entropy coupling.

Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Cost-Optimal Learning of Causal Graphs.

Murat Kocaoglu, Alex Dimakis, Sriram Vishwanath

Proceedings of the 34th International Conference on Machine Learning, 2017

Contextual Bandits with Latent Confounders: An NMF Approach.

Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Entropic Causal Inference.

Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

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

Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai

CoRR, 2016

Diversity in diffusion-based molecular communication channel with drift.

Derya Malak, Hamideh Ramezani, Murat Kocaoglu, Özgür B. Akan

Proceedings of the 2016 IEEE International Conference on Communications, 2016

2015

Learning Causal Graphs with Small Interventions.

Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

A Smoothed Analysis for Learning Sparse Polynomials.

Alexandros G. Dimakis, Adam R. Klivans, Murat Kocaoglu, Karthikeyan Shanmugam

CoRR, 2014

Sparse Polynomial Learning and Graph Sketching.

Murat Kocaoglu, Karthikeyan Shanmugam, Alexandros G. Dimakis, Adam R. Klivans

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Minimum Energy Channel Codes for Nanoscale Wireless Communications.

Murat Kocaoglu, Özgür B. Akan

IEEE Trans. Wirel. Commun., 2013

Communication theoretic analysis of the synaptic channel for cortical neurons.

Derya Malak, Murat Kocaoglu, Özgür B. Akan

Nano Commun. Networks, 2013

Effect of channel conditions on inventory database update in supply chains.

Murat Kocaoglu, Cuneyt Oksuz, Özgür B. Akan

Proceedings of the First International Black Sea Conference on Communications and Networking, 2013

2012

Fundamentals of Green Communications and Computing: Modeling and Simulation.

Murat Kocaoglu, Derya Malak, Özgür B. Akan

Computer, 2012

Minimum energy coding for wireless nanosensor networks.

Murat Kocaoglu, Özgür B. Akan

Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

On the node density limits and rate-delay-energy tradeoffs in ad hoc nanonetworks with minimum energy coding.

Murat Kocaoglu, Derya Malak

Proceedings of IEEE International Conference on Communications, 2012