| 2026 | AAAI | Recursive Causal Discovery (Abstract Reprint). | Ehsan Mokhtarian, Sepehr Elahi, Sina Akbari, Negar Kiyavash |
| 2025 | ICML | Hierarchical Reinforcement Learning with Targeted Causal Interventions. | Mohammadsadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Matthias Grossglauser |
| 2025 | ICML | Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants. | Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Negar Kiyavash, Mathias Drton |
| 2025 | UAI | Efficiently Escaping Saddle Points for Policy Optimization. | Mohammadsadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Niao He, Matthias Grossglauser |
| 2025 | UAI | Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments. | Yaroslav Kivva, Sina Akbari, Saber Salehkaleybar, Negar Kiyavash |
| 2025 | UAI | Multi-armed Bandits with Missing Outcomes. | Ilia Mahrooghi, Mahshad Moradi, Sina Akbari, Negar Kiyavash |
| 2024 | AAAI | s-ID: Causal Effect Identification in a Sub-population. | Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash |
| 2024 | ACL | CausalCite: A Causal Formulation of Paper Citations. | Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Negar Kiyavash, Mrinmaya Sachan, Bernhard Schlkopf |
| 2024 | AISTATS | Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data. | Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash |
| 2024 | ICML | Triple Changes Estimator for Targeted Policies. | Sina Akbari, Negar Kiyavash |
| 2024 | ICML | On the sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery. | Fateme Jamshidi, Luca Ganassali, Negar Kiyavash |
| 2024 | ICML | Causal Effect Identification in LiNGAM Models with Latent Confounders. | Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Mathias Drton, Negar Kiyavash |
| 2023 | AAAI | Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables. | Ehsan Mokhtarian, Mohammadsadegh Khorasani, Jalal Etesami, Negar Kiyavash |
| 2023 | UAI | On Identifiability of Conditional Causal Effects. | Yaroslav Kivva, Jalal Etesami, Negar Kiyavash |
| 2022 | AAAI | Learning Bayesian Networks in the Presence of Structural Side Information. | Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash |
| 2022 | AISTATS | Causal Effect Identification with Context-specific Independence Relations of Control Variables. | Ehsan Mokhtarian, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash |
| 2022 | ICML | Minimum Cost Intervention Design for Causal Effect Identification. | Sina Akbari, Jalal Etesami, Negar Kiyavash |
| 2022 | UAI | Revisiting the general identifiability problem. | Yaroslav Kivva, Ehsan Mokhtarian, Jalal Etesami, Negar Kiyavash |
| 2021 | AISTATS | A Variational Inference Approach to Learning Multivariate Wold Processes. | Jalal Etesami, William Trouleau, Negar Kiyavash, Matthias Grossglauser, Patrick Thiran |
| 2021 | ICML | Cumulants of Hawkes Processes are Robust to Observation Noise. | William Trouleau, Jalal Etesami, Matthias Grossglauser, Negar Kiyavash, Patrick Thiran |
| 2021 | ISIT | Impact of Data Processing on Fairness in Supervised Learning. | Sajad Khodadadian, AmirEmad Ghassami, Negar Kiyavash |
| 2021 | KDD | Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery. | Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash |
| 2021 | KDD | The KDD 2021 Workshop on Causal Discovery (CD2021). | Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash |
| 2021 | KDD | A Recursive Markov Boundary-Based Approach to Causal Structure Learning. | Ehsan Mokhtarian, Sina Akbari, AmirEmad Ghassami, Negar Kiyavash |
| 2021 | UAI | The complexity of nonconvex-strongly-concave minimax optimization. | Siqi Zhang, Junchi Yang, Cristbal Guzmn, Negar Kiyavash, Niao He |
| 2020 | ICML | LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments. | Ali AhmadiTeshnizi, Saber Salehkaleybar, Negar Kiyavash |
| 2020 | ICML | Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs. | AmirEmad Ghassami, Alan Yang, Negar Kiyavash, Kun Zhang |
| 2020 | ISIT | Achievability of nearly-exact alignment for correlated Gaussian databases. | Osman Emre Dai, Daniel Cullina, Negar Kiyavash |
| 2020 | UAI | Model-Augmented Conditional Mutual Information Estimation for Feature Selection. | Alan Yang, AmirEmad Ghassami, Maxim Raginsky, Negar Kiyavash, Elyse Rosenbaum |
| 2020 | SIGMETRICS | Partial Recovery of Erdős-Rnyi Graph Alignment via k-Core Alignment. | Daniel Cullina, Negar Kiyavash, Prateek Mittal, H. Vincent Poor |
| 2019 | AAAI | Counting and Sampling from Markov Equivalent DAGs Using Clique Trees. | AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang |
| 2019 | AISTATS | Database Alignment with Gaussian Features. | Osman Emre Dai, Daniel Cullina, Negar Kiyavash |
| 2019 | ICML | Learning Hawkes Processes Under Synchronization Noise. | William Trouleau, Jalal Etesami, Matthias Grossglauser, Negar Kiyavash, Patrick Thiran |
| 2019 | SIGMETRICS | Analysis of a Canonical Labeling Algorithm for the Alignment of Correlated Erdős-Rnyi Graphs. | Osman Emre Dai, Daniel Cullina, Negar Kiyavash, Matthias Grossglauser |
| 2019 | RTAS | A Novel Side-Channel in Real-Time Schedulers. | Chien-Ying Chen, Sibin Mohan, Rodolfo Pellizzoni, Rakesh B. Bobba, Negar Kiyavash |
| 2018 | AAAI | Learning Vector Autoregressive Models With Latent Processes. | Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash, Kun Zhang |
| 2018 | ICML | Budgeted Experiment Design for Causal Structure Learning. | AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Elias Bareinboim |
| 2018 | ISIT | Fundamental Limits of Database Alignment. | Daniel Cullina, Prateek Mittal, Negar Kiyavash |
| 2018 | ISIT | Fairness in Supervised Learning: An Information Theoretic Approach. | AmirEmad Ghassami, Sajad Khodadadian, Negar Kiyavash |
| 2017 | ACSSC | Efficient neighborhood selection for walk summable Gaussian graphical models. | Yingxang Yang, Jalal Etesami, Negar Kiyavash |
| 2017 | ISIT | Interaction information for causal inference: The case of directed triangle. | AmirEmad Ghassami, Negar Kiyavash |
| 2017 | ISIT | Identifying nonlinear 1-step causal influences in presence of latent variables. | Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash |
| 2016 | INFOCOM | Sneak-Peek: High speed covert channels in data center networks. | Rashid Tahir, Mohammad Taha Khan, Xun Gong, Adnan Ahmed, AmirEmad Ghassami, Hasanat Kazmi, Matthew Caesar, Fareed Zaffar, Negar Kiyavash |
| 2016 | ISIT | Interventional dependency graphs: An approach for discovering influence structure. | Jalal Etesami, Negar Kiyavash |
| 2016 | ISIT | Message partitioning and limited auxiliary randomness: Alternatives to Honey Encryption. | AmirEmad Ghassami, Daniel F. Cullina, Negar Kiyavash |
| 2016 | UAI | Learning Network of Multivariate Hawkes Processes: A Time Series Approach. | Jalal Etesami, Negar Kiyavash, Kun Zhang, Kushagra Singhal |
| 2016 | SIGMETRICS | Improved Achievability and Converse Bounds for Erdos-Renyi Graph Matching. | Daniel Cullina, Negar Kiyavash |
| 2015 | ISIT | Capacity limit of queueing timing channel in shared FCFS schedulers. | AmirEmad Ghassami, Xun Gong, Negar Kiyavash |
| 2015 | ITW | Combinatorial channels from partially ordered sets. | Daniel Cullina, Negar Kiyavash |
| 2014 | ISIT | Generalized sphere-packing upper bounds on the size of codes for combinatorial channels. | Daniel F. Cullina, Negar Kiyavash |
| 2014 | ISIT | A novel collusion attack on finite alphabet digital fingerprinting systems. | Jalal Etesami, Negar Kiyavash |
| 2013 | ICASSP | Timing side channels for traffic analysis. | Xun Gong, Negar Kiyavash |
| 2013 | INFOCOM | Delay optimal policies offer very little privacy. | Sachin Kadloor, Negar Kiyavash |
| 2013 | ISIT | An improvement to Levenshtein's upper bound on the cardinality of deletion correcting codes. | Daniel Cullina, Negar Kiyavash |
| 2013 | ISIT | Robust directed tree approximations for networks of stochastic processes. | Christopher J. Quinn, Jalal Etesami, Negar Kiyavash, Todd P. Coleman |
| 2013 | ISIT | Optimal bounded-degree approximations of joint distributions of networks of stochastic processes. | Christopher J. Quinn, Ali Pinar, Negar Kiyavash |
| 2012 | ICASSP | Invisible flow watermarks for channels with dependent substitution and deletion errors. | Xun Gong, Mavis Rodrigues, Negar Kiyavash |
| 2012 | INFOCOM | Mitigating timing based information leakage in shared schedulers. | Sachin Kadloor, Negar Kiyavash, Parv Venkitasubramaniam |
| 2012 | ISIT | A coloring approach to constructing deletion correcting codes from constant weight subgraphs. | Daniel Cullina, Ankur A. Kulkarni, Negar Kiyavash |
| 2012 | ISIT | Learning minimal latent directed information trees. | Jalal Etesami, Negar Kiyavash, Todd P. Coleman |
| 2012 | ITW | Scheduling with privacy constraints. | Sachin Kadloor, Negar Kiyavash, Parv Venkitasubramaniam |
| 2011 | CISS | Designing privacy preserving router scheduling policies. | Sachin Kadloor, Xun Gong, Negar Kiyavash, Parv Venkitasubramaniam |
| 2011 | ICASSP | Equiangular tight frame fingerprinting codes. | Dustin G. Mixon, Christopher J. Quinn, Negar Kiyavash, Matthew Fickus |
| 2011 | ISIT | Information theoretic analysis of side channel information leakage in FCFS schedulers. | Xun Gong, Negar Kiyavash, Parv Venkitasubramaniam |
| 2011 | ISIT | Equivalence between minimal generative model graphs and directed information graphs. | Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman |
| 2011 | ITW | An algorithmic approach for finding deletion correcting codes. | Farzaneh Khajouei, Mahdy Zolghadr, Negar Kiyavash |
| 2010 | CCS | Fingerprinting websites using remote traffic analysis. | Xun Gong, Negar Kiyavash, Nikita Borisov |
| 2010 | CCS | Designing router scheduling policies: a privacy perspective. | Sachin Kadloor, Xun Gong, Negar Kiyavash, Parv Venkitasubramaniam |
| 2010 | ISITA | Directed information and the NRL Network Pump. | Siva K. Gorantla, Sachin Kadloor, Todd P. Coleman, Negar Kiyavash, Ira S. Moskowitz, Myong H. Kang |
| 2010 | ISITA | Approximating discrete probability distributions with causal dependence trees. | Christopher J. Quinn, Todd P. Coleman, Negar Kiyavash |
| 2009 | ICASSP | Multi-flow attack resistant watermarks for network flows. | Amir Houmansadr, Negar Kiyavash, Nikita Borisov |
| 2009 | ICASSP | Covert timing channels codes for communication over interactive traffic. | Negar Kiyavash, Todd P. Coleman |
| 2009 | NDSS | RAINBOW: A Robust And Invisible Non-Blind Watermark for Network Flows. | Amir Houmansadr, Negar Kiyavash, Nikita Borisov |
| 2008 | CISS | Sparse graph codes and practical decoding algorithms for communicating over packet timings in networks. | Todd P. Coleman, Negar Kiyavash |
| 2008 | DCC | The Rate-Distortion Function of a Poisson Process with a Queueing Distortion Measure. | Todd P. Coleman, Negar Kiyavash, Vijay G. Subramanian |
| 2008 | ITW | Practical codes for queueing channels: An algebraic, state-space, message-passing approach. | Todd P. Coleman, Negar Kiyavash |
| 2007 | ICASSP | Performance of Random Fingerprinting Codes Under Arbitrary Nonlinear Attacks. | Pierre Moulin, Negar Kiyavash |
| 2007 | ISIT | Expurgated Gaussian Fingerprinting Codes. | Pierre Moulin, Negar Kiyavash |
| 2007 | MASS | Anti-Collusion Position Estimation in Wireless Sensor Networks. | Negar Kiyavash, Farinaz Koushanfar |
| 2006 | CISS | A Framework for Optimizing Nonlinear Collusion Attacks on Fingerprinting Systems. | Negar Kiyavash, Pierre Moulin |
| 2006 | ICASSP | On Optimal Collusion Strategies for Fingerprinting. | Negar Kiyavash, Pierre Moulin |
| 2006 | ISIT | On Capacity of a Constrained Two-Dimensional Channel in Presence of Violations. | Negar Kiyavash, Richard E. Blahut |
| 2005 | ISIT | On the minimal pseudo-codewords of codes from finite geometries. | Pascal O. Vontobel, Roxana Smarandache, Negar Kiyavash, Jason Teutsch, Dejan Vukobratovic |
| 2005 | IWDW | Regular Simplex Fingerprints and Their Optimality Properties. | Negar Kiyavash, Pierre Moulin |
| 2004 | ISIT | On the vector decomposition problem for m-torsion points on an elliptic curve. | Negar Kiyavash, Iwan M. Duursma |