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2020 – today
- 2024
[c33]Zeyu Zhou, Ruqi Bai, Sean Kulinski, Murat Kocaoglu, David I. Inouye:
Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models. ICLR 2024- [c32]Muhammad Qasim Elahi, Lai Wei, Murat Kocaoglu, Mahsa Ghasemi:
Adaptive Online Experimental Design for Causal Discovery. ICML 2024 - [c31]Ziwei Jiang, Murat Kocaoglu:
Conditional Common Entropy for Instrumental Variable Testing and Partial Identification. ICML 2024 - [c30]Md. Musfiqur Rahman, Murat Kocaoglu:
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference. ICML 2024 - [i23]Md. Musfiqur Rahman, Murat Kocaoglu:
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference. CoRR abs/2401.01426 (2024) - [i22]Md. Musfiqur Rahman, Matt Jordan, Murat Kocaoglu:
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand. CoRR abs/2402.07419 (2024) - [i21]Muhammad Qasim Elahi, Lai Wei, Murat Kocaoglu, Mahsa Ghasemi:
Adaptive Online Experimental Design for Causal Discovery. CoRR abs/2405.11548 (2024) - [i20]Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu:
Causal Discovery-Driven Change Point Detection in Time Series. CoRR abs/2407.07290 (2024) - [i19]Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu:
Causal Discovery in Semi-Stationary Time Series. CoRR abs/2407.07291 (2024) - [i18]Zeyu Zhou, Tianci Liu, Ruqi Bai, Jing Gao, Murat Kocaoglu, David I. Inouye:
Counterfactual Fairness by Combining Factual and Counterfactual Predictions. CoRR abs/2409.01977 (2024) - 2023
- [c29]Spencer Compton, Dmitriy Katz, Benjamin Qi, Kristjan H. Greenewald, Murat Kocaoglu:
Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier. AISTATS 2023: 10445-10469 - [c28]Ziwei Jiang, Lai Wei, Murat Kocaoglu:
Approximate Causal Effect Identification under Weak Confounding. ICML 2023: 15125-15143 - [c27]Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu:
Causal Discovery in Semi-Stationary Time Series. NeurIPS 2023 - [c26]Murat Kocaoglu:
Characterization and Learning of Causal Graphs with Small Conditioning Sets. NeurIPS 2023 - [c25]Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu:
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge. NeurIPS 2023 - [c24]Lai Wei, Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu:
Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders. NeurIPS 2023 - [c23]Kenneth Lee, Md. Musfiqur Rahman, Murat Kocaoglu:
Finding Invariant Predictors Efficiently via Causal Structure. UAI 2023: 1196-1206 - [i17]Murat Kocaoglu:
Characterization and Learning of Causal Graphs with Small Conditioning Sets. CoRR abs/2301.09028 (2023) - [i16]Spencer Compton, Dmitriy Katz, Benjamin Qi, Kristjan H. Greenewald, Murat Kocaoglu:
Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier. CoRR abs/2302.11838 (2023) - [i15]Abhin Shah, Karthikeyan Shanmugam
, Murat Kocaoglu:
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge. CoRR abs/2306.11008 (2023) - [i14]Sean Kulinski, Zeyu Zhou, Ruqi Bai, Murat Kocaoglu, David I. Inouye:
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models. CoRR abs/2306.11281 (2023) - [i13]Ziwei Jiang, Lai Wei, Murat Kocaoglu:
Approximate Causal Effect Identification under Weak Confounding. CoRR abs/2306.13242 (2023) - 2022
- [c22]Spencer Compton, Kristjan H. Greenewald, Dmitriy A. Katz, Murat Kocaoglu:
Entropic Causal Inference: Graph Identifiability. ICML 2022: 4311-4343 - [c21]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 - 2021
- [c20]Kartik Ahuja, Prasanna Sattigeri, Karthikeyan Shanmugam, Dennis Wei, Karthikeyan Natesan Ramamurthy, Murat Kocaoglu:
Conditionally independent data generation. UAI 2021: 2050-2060 - [i12]Spencer Compton, Murat Kocaoglu, Kristjan H. Greenewald, Dmitriy Katz:
Entropic Causal Inference: Identifiability and Finite Sample Results. CoRR abs/2101.03501 (2021) - 2020
- [c19]Spencer Compton, Murat Kocaoglu, Kristjan H. Greenewald, Dmitriy Katz:
Entropic Causal Inference: Identifiability and Finite Sample Results. NeurIPS 2020 - [c18]Amin Jaber, Murat Kocaoglu, Karthikeyan Shanmugam, Elias Bareinboim:
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning. NeurIPS 2020 - [c17]Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis, Constantine Caramanis, Sriram Vishwanath:
Applications of Common Entropy for Causal Inference. NeurIPS 2020 - [c16]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 - [i11]Chandler Squires, Sara Magliacane, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam:
Active Structure Learning of Causal DAGs via Directed Clique Tree. CoRR abs/2011.00641 (2020)
2010 – 2019
- 2019
- [j5]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): 59-66 (2019) - [c15]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: 14279-14289 - [c14]Murat Kocaoglu, Amin Jaber, Karthikeyan Shanmugam, Elias Bareinboim:
Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions. NeurIPS 2019: 14346-14356 - 2018
- [c13]Murat Kocaoglu, Christopher Snyder, Alexandros G. Dimakis, Sriram Vishwanath:
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training. ICLR (Poster) 2018 - [c12]Erik M. Lindgren, Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath:
Experimental Design for Cost-Aware Learning of Causal Graphs. NeurIPS 2018: 5284-5294 - [i10]Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis, Constantine Caramanis, Sriram Vishwanath:
Entropic Latent Variable Discovery. CoRR abs/1807.10399 (2018) - [i9]Erik M. Lindgren, Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath:
Experimental Design for Cost-Aware Learning of Causal Graphs. CoRR abs/1810.11867 (2018) - 2017
- [j4]Murat Kocaoglu, Özgür B. Akan:
Energy Minimization With Network Coding via Latin Hypercubes. IEEE Syst. J. 11(2): 696-705 (2017) - [c11]Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi:
Entropic Causal Inference. AAAI 2017: 1156-1162 - [c10]Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai:
Contextual Bandits with Latent Confounders: An NMF Approach. AISTATS 2017: 518-527 - [c9]Murat Kocaoglu, Alex Dimakis, Sriram Vishwanath:
Cost-Optimal Learning of Causal Graphs. ICML 2017: 1875-1884 - [c8]Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi:
Entropie causality anc greedy minimum entropy coupling. ISIT 2017: 1465-1469 - [c7]Murat Kocaoglu, Karthikeyan Shanmugam, Elias Bareinboim:
Experimental Design for Learning Causal Graphs with Latent Variables. NIPS 2017: 7018-7028 - [i8]Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi:
Entropic Causality and Greedy Minimum Entropy Coupling. CoRR abs/1701.08254 (2017) - [i7]Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath:
Cost-Optimal Learning of Causal Graphs. CoRR abs/1703.02645 (2017) - [i6]Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sujay Sanghavi:
Sparse Quadratic Logistic Regression in Sub-quadratic Time. CoRR abs/1703.02682 (2017) - [i5]Murat Kocaoglu, Christopher Snyder, Alexandros G. Dimakis, Sriram Vishwanath:
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training. CoRR abs/1709.02023 (2017) - 2016
- [c6]Derya Malak, Hamideh Ramezani, Murat Kocaoglu, Özgür B. Akan:
Diversity in diffusion-based molecular communication channel with drift. ICC 2016: 1-6 - [i4]Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai:
Latent Contextual Bandits: A Non-Negative Matrix Factorization Approach. CoRR abs/1606.00119 (2016) - [i3]Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi:
Entropic Causal Inference. CoRR abs/1611.04035 (2016) - 2015
- [c5]Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath:
Learning Causal Graphs with Small Interventions. NIPS 2015: 3195-3203 - [i2]Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath:
Learning Causal Graphs with Small Interventions. CoRR abs/1511.00041 (2015) - 2014
- [c4]Murat Kocaoglu, Karthikeyan Shanmugam, Alexandros G. Dimakis, Adam R. Klivans:
Sparse Polynomial Learning and Graph Sketching. NIPS 2014: 3122-3130 - [i1]Alexandros G. Dimakis, Adam R. Klivans, Murat Kocaoglu, Karthikeyan Shanmugam:
A Smoothed Analysis for Learning Sparse Polynomials. CoRR abs/1402.3902 (2014) - 2013
- [j3]Derya Malak, Murat Kocaoglu, Özgür B. Akan:
Communication theoretic analysis of the synaptic channel for cortical neurons. Nano Commun. Networks 4(3): 131-141 (2013) - [j2]Murat Kocaoglu, Özgür B. Akan:
Minimum Energy Channel Codes for Nanoscale Wireless Communications. IEEE Trans. Wirel. Commun. 12(4): 1492-1500 (2013) - [c3]Murat Kocaoglu, Cuneyt Oksuz, Özgür B. Akan:
Effect of channel conditions on inventory database update in supply chains. BlackSeaCom 2013: 252-256 - 2012
- [j1]Murat Kocaoglu, Derya Malak, Özgür B. Akan:
Fundamentals of Green Communications and Computing: Modeling and Simulation. Computer 45(9): 40-46 (2012) - [c2]Murat Kocaoglu, Derya Malak:
On the node density limits and rate-delay-energy tradeoffs in ad hoc nanonetworks with minimum energy coding. ICC 2012: 6157-6161 - [c1]Murat Kocaoglu, Özgür B. Akan:
Minimum energy coding for wireless nanosensor networks. INFOCOM 2012: 2826-2830
Coauthor Index
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last updated on 2024-10-11 17:32 CEST by the dblp team
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