Murat Kocaoglu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 47

Top Topics

Experimental Design

Root Cause Analysis

Top Venues

Publications

Zeyu Zhou, Ruqi Bai, Sean Kulinski, Murat Kocaoglu, David I. Inouye
Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models. ICLR (2024)
Md Musfiqur Rahman, Murat Kocaoglu
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference. CoRR (2024)
Md Musfiqur Rahman, Matt Jordan, Murat Kocaoglu
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand. CoRR (2024)
Muhammad Qasim Elahi, Lai Wei, Murat Kocaoglu, Mahsa Ghasemi
Adaptive Online Experimental Design for Causal Discovery. CoRR (2024)
Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu
Causal Discovery in Semi-Stationary Time Series. CoRR (2024)
Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu
Causal Discovery-Driven Change Point Detection in Time Series. CoRR (2024)
Spencer Compton, Dmitriy Katz, Benjamin Qi, Kristjan H. Greenewald, Murat Kocaoglu
Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier. AISTATS (2023)
Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge. NeurIPS (2023)
Ziwei Jiang, Lai Wei, Murat Kocaoglu
Approximate Causal Effect Identification under Weak Confounding. CoRR (2023)
Murat Kocaoglu
Characterization and Learning of Causal Graphs with Small Conditioning Sets. CoRR (2023)
Lai Wei, Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu
Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders. NeurIPS (2023)
Murat Kocaoglu
Characterization and Learning of Causal Graphs with Small Conditioning Sets. NeurIPS (2023)
Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge. CoRR (2023)
Ziwei Jiang, Lai Wei, Murat Kocaoglu
Approximate Causal Effect Identification under Weak Confounding. ICML (2023)
Spencer Compton, Dmitriy Katz, Benjamin Qi, Kristjan H. Greenewald, Murat Kocaoglu
Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier. CoRR (2023)
Kenneth Lee, Md Musfiqur Rahman, Murat Kocaoglu
Finding Invariant Predictors Efficiently via Causal Structure. UAI (2023)
Sean Kulinski, Zeyu Zhou, Ruqi Bai, Murat Kocaoglu, David I. Inouye
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models. CoRR (2023)
Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu
Causal Discovery in Semi-Stationary Time Series. NeurIPS (2023)
Spencer Compton, Kristjan H. Greenewald, Dmitriy A. Katz, Murat Kocaoglu
Entropic Causal Inference: Graph Identifiability. ICML (2022)
Azam Ikram, Sarthak Chakraborty, Subrata Mitra, Shiv Kumar Saini, Saurabh Bagchi, Murat Kocaoglu
Root Cause Analysis of Failures in Microservices through Causal Discovery. NeurIPS (2022)
Kartik Ahuja, Prasanna Sattigeri, Karthikeyan Shanmugam, Dennis Wei, Karthikeyan Natesan Ramamurthy, Murat Kocaoglu
Conditionally independent data generation. UAI (2021)
Spencer Compton, Murat Kocaoglu, Kristjan H. Greenewald, Dmitriy Katz
Entropic Causal Inference: Identifiability and Finite Sample Results. CoRR (2021)
Spencer Compton, Murat Kocaoglu, Kristjan H. Greenewald, Dmitriy Katz
Entropic Causal Inference: Identifiability and Finite Sample Results. NeurIPS (2020)
Chandler Squires, Sara Magliacane, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam
Active Structure Learning of Causal DAGs via Directed Clique Trees. NeurIPS (2020)
Amin Jaber, Murat Kocaoglu, Karthikeyan Shanmugam, Elias Bareinboim
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning. NeurIPS (2020)
Chandler Squires, Sara Magliacane, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam
Active Structure Learning of Causal DAGs via Directed Clique Tree. CoRR (2020)
Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis, Constantine Caramanis, Sriram Vishwanath
Applications of Common Entropy for Causal Inference. NeurIPS (2020)
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
Reports of the AAAI 2019 Spring Symposium Series. AI Mag. 40 (3) (2019)
Murat Kocaoglu, Amin Jaber, Karthikeyan Shanmugam, Elias Bareinboim
Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions. NeurIPS (2019)
Kristjan H. Greenewald, Dmitriy Katz, Karthikeyan Shanmugam, Sara Magliacane, Murat Kocaoglu, Enric Boix Adserà, Guy Bresler
Sample Efficient Active Learning of Causal Trees. NeurIPS (2019)
Erik M. Lindgren, Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath
Experimental Design for Cost-Aware Learning of Causal Graphs. CoRR (2018)
Murat Kocaoglu, Christopher Snyder, Alexandros G. Dimakis, Sriram Vishwanath
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training. ICLR (Poster) (2018)
Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis, Constantine Caramanis, Sriram Vishwanath
Entropic Latent Variable Discovery. CoRR (2018)
Erik M. Lindgren, Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath
Experimental Design for Cost-Aware Learning of Causal Graphs. NeurIPS (2018)
Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sujay Sanghavi
Sparse Quadratic Logistic Regression in Sub-quadratic Time. CoRR (2017)
Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath
Cost-Optimal Learning of Causal Graphs. CoRR (2017)
Murat Kocaoglu, Alex Dimakis, Sriram Vishwanath
Cost-Optimal Learning of Causal Graphs. ICML (2017)
Murat Kocaoglu, Christopher Snyder, Alexandros G. Dimakis, Sriram Vishwanath
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training. CoRR (2017)
Murat Kocaoglu, Karthikeyan Shanmugam, Elias Bareinboim
Experimental Design for Learning Causal Graphs with Latent Variables. NIPS (2017)
Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi
Entropic Causality and Greedy Minimum Entropy Coupling. CoRR (2017)
Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai
Contextual Bandits with Latent Confounders: An NMF Approach. AISTATS (2017)
Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi
Entropie causality anc greedy minimum entropy coupling. ISIT (2017)
Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi
Entropic Causal Inference. AAAI (2017)
Murat Kocaoglu, Özgür B. Akan
Energy Minimization With Network Coding via Latin Hypercubes. IEEE Syst. J. 11 (2) (2017)
Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai
Latent Contextual Bandits: A Non-Negative Matrix Factorization Approach. CoRR (2016)
Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi
Entropic Causal Inference. CoRR (2016)
Derya Malak, Hamideh Ramezani, Murat Kocaoglu, Özgür B. Akan
Diversity in diffusion-based molecular communication channel with drift. ICC (2016)
Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath
Learning Causal Graphs with Small Interventions. NIPS (2015)
Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath
Learning Causal Graphs with Small Interventions. CoRR (2015)
Alexandros G. Dimakis, Adam R. Klivans, Murat Kocaoglu, Karthikeyan Shanmugam
A Smoothed Analysis for Learning Sparse Polynomials. CoRR (2014)
Murat Kocaoglu, Karthikeyan Shanmugam, Alexandros G. Dimakis, Adam R. Klivans
Sparse Polynomial Learning and Graph Sketching. NIPS (2014)
Derya Malak, Murat Kocaoglu, Özgür B. Akan
Communication theoretic analysis of the synaptic channel for cortical neurons. Nano Commun. Networks 4 (3) (2013)
Murat Kocaoglu, Cuneyt Oksuz, Özgür B. Akan
Effect of channel conditions on inventory database update in supply chains. BlackSeaCom (2013)
Murat Kocaoglu, Özgür B. Akan
Minimum Energy Channel Codes for Nanoscale Wireless Communications. IEEE Trans. Wirel. Commun. 12 (4) (2013)
Murat Kocaoglu, Derya Malak
On the node density limits and rate-delay-energy tradeoffs in ad hoc nanonetworks with minimum energy coding. ICC (2012)
Murat Kocaoglu, Özgür B. Akan
Minimum energy coding for wireless nanosensor networks. INFOCOM (2012)
Murat Kocaoglu, Derya Malak, Özgür B. Akan
Fundamentals of Green Communications and Computing: Modeling and Simulation. Computer 45 (9) (2012)