Secure smartcardbased fingerprint authentication. - T. Charles Clancy; Negar Kiyavash; Dennis J. Lin (WBMA@MM, 2003)

On the vector decomposition problem for m-torsion points on an elliptic curve. - Negar Kiyavash; Iwan M. Duursma (ISIT, 2004)

On the minimal pseudo-codewords of codes from finite geometries. - Pascal O. Vontobel; Roxana Smarandache; Negar Kiyavash; Jason Teutsch; Dejan Vukobratovic (ISIT, 2005)

Regular Simplex Fingerprints and Their Optimality Properties. - Negar Kiyavash; Pierre Moulin (IWDW, 2005)

The Vector Decomposition Problem for Elliptic and Hyperelliptic Curves. - Iwan M. Duursma; Negar Kiyavash (IACR Cryptol. ePrint Arch., 2005)

A Framework for Optimizing Nonlinear Collusion Attacks on Fingerprinting Systems. - Negar Kiyavash; Pierre Moulin (CISS, 2006)

On Optimal Collusion Strategies for Fingerprinting. - Negar Kiyavash; Pierre Moulin (ICASSP (5), 2006)

On Capacity of a Constrained Two-Dimensional Channel in Presence of Violations. - Negar Kiyavash; Richard E. Blahut (ISIT, 2006)

Information Theoretic Limits for Secure Multimedia and Magnetic Recording - Negar Kiyavash (2006)

Performance of Random Fingerprinting Codes Under Arbitrary Nonlinear Attacks. - Pierre Moulin; Negar Kiyavash (ICASSP (2), 2007)

Expurgated Gaussian Fingerprinting Codes. - Pierre Moulin; Negar Kiyavash (ISIT, 2007)

Anti-Collusion Position Estimation in Wireless Sensor Networks. - Negar Kiyavash; Farinaz Koushanfar (MASS, 2007)

Sphere packing lower bound on fingerprinting error probability. - Negar Kiyavash; Pierre Moulin (Security, Steganography, and Watermarking of Multimedia Contents, 2007)

Sparse graph codes and practical decoding algorithms for communicating over packet timings in networks. - Todd P. Coleman; Negar Kiyavash (CISS, 2008)

The Rate-Distortion Function of a Poisson Process with a Queueing Distortion Measure. - Todd P. Coleman; Negar Kiyavash; Vijay G. Subramanian (DCC, 2008)

Trusted Integrated Circuits: A Nondestructive Hidden Characteristics Extraction Approach. - Yousra Alkabani; Farinaz Koushanfar; Negar Kiyavash; Miodrag Potkonjak (Information Hiding, 2008)

Practical codes for queueing channels: An algebraic, state-space, message-passing approach. - Todd P. Coleman; Negar Kiyavash (ITW, 2008)

Multi-flow Attacks Against Network Flow Watermarking Schemes. - Negar Kiyavash; Amir Houmansadr; Nikita Borisov (USENIX Security Symposium, 2008)

Distributed triangulation in the presence faulty and byzantine beacons in aircraft networks with ADS-B technology. - Daniel Uhlig; Negar Kiyavash; Natasha A. Neogi (ACC, 2009)

Multi-flow attack resistant watermarks for network flows. - Amir Houmansadr; Negar Kiyavash; Nikita Borisov (ICASSP, 2009)

Covert timing channels codes for communication over interactive traffic. - Negar Kiyavash; Todd P. Coleman (ICASSP, 2009)

Novel Shaping and Complexity-Reduction Techniques for Approaching Capacity over Queuing Timing Channels. - Negar Kiyavash; Todd P. Coleman; Mavis Rodrigues (ICC, 2009)

RAINBOW: A Robust And Invisible Non-Blind Watermark for Network Flows. - Amir Houmansadr; Negar Kiyavash; Nikita Borisov (NDSS, 2009)

Performance of orthogonal fingerprinting codes under worst-case noise. - Negar Kiyavash; Pierre Moulin (IEEE Trans. Inf. Forensics Secur., 2009)

Regular simplex fingerprints and their optimality properties. - Negar Kiyavash; Pierre Moulin; Ton Kalker (IEEE Trans. Inf. Forensics Secur., 2009)

Fingerprinting websites using remote traffic analysis. - Xun Gong 001; Negar Kiyavash; Nikita Borisov (CCS, 2010)

Low-Cost Side Channel Remote Traffic Analysis Attack in Packet Networks. - Sachin Kadloor; Xun Gong 001; Negar Kiyavash; Tolga Tezcan; Nikita Borisov (ICC, 2010)

Directed information and the NRL Network Pump. - Siva K. Gorantla; Sachin Kadloor; Todd P. Coleman; Negar Kiyavash; Ira S. Moskowitz; Myong H. Kang (ISITA, 2010)

Approximating discrete probability distributions with causal dependence trees. - Christopher J. Quinn; Todd P. Coleman; Negar Kiyavash (ISITA, 2010)

A minimal approach to causal inference on topologies with bounded indegree. - Christopher J. Quinn; Negar Kiyavash; Todd P. Coleman (CDC/ECC, 2011)

Convergence analysis for an online recommendation system. - Anh Truong; Negar Kiyavash; Vivek S. Borkar (CDC/ECC, 2011)

Designing privacy preserving router scheduling policies. - Sachin Kadloor; Xun Gong 001; Negar Kiyavash; Parv Venkitasubramaniam (CISS, 2011)

Equiangular tight frame fingerprinting codes. - Dustin G. Mixon; Christopher J. Quinn; Negar Kiyavash; Matthew Fickus (ICASSP, 2011)

Information theoretic analysis of side channel information leakage in FCFS schedulers. - Xun Gong 001; Negar Kiyavash; Parv Venkitasubramaniam (ISIT, 2011)

Equivalence between minimal generative model graphs and directed information graphs. - Christopher J. Quinn; Negar Kiyavash; Todd P. Coleman (ISIT, 2011)

An algorithmic approach for finding deletion correcting codes. - Farzaneh Khajouei; Mahdy Zolghadr; Negar Kiyavash (ITW, 2011)

Causal Dependence Tree Approximations of Joint Distributions for Multiple Random Processes - Christopher J. Quinn; Todd P. Coleman; Negar Kiyavash (CoRR, 2011)

Estimating the directed information to infer causal relationships in ensemble neural spike train recordings. - Christopher J. Quinn; Todd P. Coleman; Negar Kiyavash; Nicholas G. Hatsopoulos (J. Comput. Neurosci., 2011)

Invisible flow watermarks for channels with dependent substitution and deletion errors. - Xun Gong 001; Mavis Rodrigues; Negar Kiyavash (ICASSP, 2012)

Mitigating timing based information leakage in shared schedulers. - Sachin Kadloor; Negar Kiyavash; Parv Venkitasubramaniam (INFOCOM, 2012)

A coloring approach to constructing deletion correcting codes from constant weight subgraphs. - Daniel Cullina; Ankur A. Kulkarni; Negar Kiyavash (ISIT, 2012)

Learning minimal latent directed information trees. - Jalal Etesami; Negar Kiyavash; Todd P. Coleman (ISIT, 2012)

Scheduling with privacy constraints. - Sachin Kadloor; Negar Kiyavash; Parv Venkitasubramaniam (ITW, 2012)

Website Detection Using Remote Traffic Analysis. - Xun Gong 001; Nikita Borisov; Negar Kiyavash; Nabil Schear (Privacy Enhancing Technologies, 2012)

Multi-Flow Attacks Against Network Flow Watermarks: Analysis and Countermeasures - Negar Kiyavash; Amir Houmansadr; Nikita Borisov (CoRR, 2012)

Non-asymptotic Upper Bounds for Deletion Correcting Codes - Ankur A. Kulkarni; Negar Kiyavash (CoRR, 2012)

Two Approaches to the Construction of Deletion Correcting Codes: Weight Partitioning and Optimal Colorings - Daniel Cullina; Ankur A. Kulkarni; Negar Kiyavash (CoRR, 2012)

Characterizing the Efficacy of the NRL Network Pump in Mitigating Covert Timing Channels. - Siva K. Gorantla; Sachin Kadloor; Negar Kiyavash; Todd P. Coleman; Ira S. Moskowitz; Myong H. Kang (IEEE Trans. Inf. Forensics Secur., 2012)

Designing Router Scheduling Policies: A Privacy Perspective. - Sachin Kadloor; Xun Gong 001; Negar Kiyavash; Parv Venkitasubramaniam (IEEE Trans. Signal Process., 2012)

Optimal adversarial strategies in learning with expert advice. - Anh Truong; Negar Kiyavash (CDC, 2013)

Timing side channels for traffic analysis. - Xun Gong 001; Negar Kiyavash (ICASSP, 2013)

Delay optimal policies offer very little privacy. - Sachin Kadloor; Negar Kiyavash (INFOCOM, 2013)

Robust directed tree approximations for networks of stochastic processes. - Christopher J. Quinn; Jalal Etesami; Negar Kiyavash; Todd P. Coleman (ISIT, 2013)

Optimal bounded-degree approximations of joint distributions of networks of stochastic processes. - Christopher J. Quinn; Ali Pinar; Negar Kiyavash (ISIT, 2013)

An Information Theoretic Study of Timing Side Channels in Two-user Schedulers. - Xun Gong 001; Negar Kiyavash; Parv Venkitasubramaniam (CoRR, 2013)

Preventing Timing Analysis in Networks: A Statistical Inference Perspective. - Sachin Kadloor; Parv Venkitasubramaniam; Negar Kiyavash (IEEE Signal Process. Mag., 2013)

Invisible Flow Watermarks for Channels With Dependent Substitution, Deletion, and Bursty Insertion Errors. - Xun Gong 001; Mavis Rodrigues; Negar Kiyavash (IEEE Trans. Inf. Forensics Secur., 2013)

A Timing Channel Spyware for the CSMA/CA Protocol. - Negar Kiyavash; Farinaz Koushanfar; Todd P. Coleman; Mavis Rodrigues (IEEE Trans. Inf. Forensics Secur., 2013)

Nonasymptotic Upper Bounds for Deletion Correcting Codes. - Ankur A. Kulkarni; Negar Kiyavash (IEEE Trans. Inf. Theory, 2013)

Fingerprinting With Equiangular Tight Frames. - Dustin G. Mixon; Christopher J. Quinn; Negar Kiyavash; Matthew Fickus (IEEE Trans. Inf. Theory, 2013)

Efficient Methods to Compute Optimal Tree Approximations of Directed Information Graphs. - Christopher J. Quinn; Negar Kiyavash; Todd P. Coleman (IEEE Trans. Signal Process., 2013)

Directed Information Graphs: A generalization of Linear Dynamical Graphs. - Jalal Etesami; Negar Kiyavash (ACC, 2014)

Generalized sphere-packing upper bounds on the size of codes for combinatorial channels. - Daniel F. Cullina; Negar Kiyavash (ISIT, 2014)

A novel collusion attack on finite alphabet digital fingerprinting systems. - Jalal Etesami; Negar Kiyavash (ISIT, 2014)

Generalized sphere-packing and sphere-covering bounds on the size of codes for combinatorial channels. - Daniel Cullina; Negar Kiyavash (CoRR, 2014)

Timing Side Channels in Shared Queues. - Xun Gong 001; Negar Kiyavash (CoRR, 2014)

On the Varshamov-Tenengolts construction on binary strings. - Ankur A. Kulkarni; Negar Kiyavash; Ramavarapu S. Sreenivas (Discret. Math., 2014)

Dynamic and Succinct Statistical Analysis of Neuroscience Data. - Sanggyun Kim; Christopher J. Quinn; Negar Kiyavash; Todd P. Coleman (Proc. IEEE, 2014)

An Improvement to Levenshtein's Upper Bound on the Cardinality of Deletion Correcting Codes. - Daniel Cullina; Negar Kiyavash (IEEE Trans. Inf. Theory, 2014)

Non-Blind Watermarking of Network Flows. - Amir Houmansadr; Negar Kiyavash; Nikita Borisov (IEEE/ACM Trans. Netw., 2014)

Capacity limit of queueing timing channel in shared FCFS schedulers. - AmirEmad Ghassami; Xun Gong 001; Negar Kiyavash (ISIT, 2015)

Combinatorial channels from partially ordered sets. - Daniel Cullina; Negar Kiyavash (ITW, 2015)

Bounded Degree Approximations of Stochastic Networks. - Christopher J. Quinn; Ali Pinar; Negar Kiyavash (CoRR, 2015)

Efficient Neighborhood Selection for Gaussian Graphical Models. - Yingxiang Yang; Jalal Etesami; Negar Kiyavash (CoRR, 2015)

Delay-Privacy Tradeoff in the Design of Scheduling Policies. - Sachin Kadloor; Negar Kiyavash (IEEE Trans. Inf. Theory, 2015)

Directed Information Graphs. - Christopher J. Quinn; Negar Kiyavash; Todd P. Coleman (IEEE Trans. Inf. Theory, 2015)

Sneak-Peek: High speed covert channels in data center networks. - Rashid Tahir; Mohammad Taha Khan; Xun Gong 001; Adnan Ahmed; AmirEmad Ghassami; Hasanat Kazmi; Matthew Caesar 001; Fareed Zaffar; Negar Kiyavash (INFOCOM, 2016)

Interventional dependency graphs: An approach for discovering influence structure. - Jalal Etesami; Negar Kiyavash (ISIT, 2016)

Message partitioning and limited auxiliary randomness: Alternatives to Honey Encryption. - AmirEmad Ghassami; Daniel F. Cullina; Negar Kiyavash (ISIT, 2016)

Improved Achievability and Converse Bounds for Erdos-Renyi Graph Matching. - Daniel Cullina; Negar Kiyavash (SIGMETRICS, 2016)

Learning Network of Multivariate Hawkes Processes: A Time Series Approach. - Jalal Etesami; Negar Kiyavash; Kun Zhang 001; Kushagra Singhal (UAI, 2016)

On the Simultaneous Preservation of Privacy and Community Structure in Anonymized Networks. - Daniel Cullina; Kushagra Singhal; Negar Kiyavash; Prateek Mittal (CoRR, 2016)

On the Vulnerability of Digital Fingerprinting Systems to Finite Alphabet Collusion Attacks. - Jalal Etesami; Negar Kiyavash (CoRR, 2016)

Learning Minimal Latent Directed Information Polytrees. - Jalal Etesami; Negar Kiyavash; Todd P. Coleman (Neural Comput., 2016)

Generalized Sphere-Packing Bounds on the Size of Codes for Combinatorial Channels. - Daniel Cullina; Negar Kiyavash (IEEE Trans. Inf. Theory, 2016)

Restricted Composition Deletion Correcting Codes. - Daniel Cullina; Negar Kiyavash; Ankur A. Kulkarni (IEEE Trans. Inf. Theory, 2016)

Quantifying the Information Leakage in Timing Side Channels in Deterministic Work-Conserving Schedulers. - Xun Gong 001; Negar Kiyavash (IEEE/ACM Trans. Netw., 2016)

Mitigating Timing Side Channel in Shared Schedulers. - Sachin Kadloor; Negar Kiyavash; Parv Venkitasubramaniam (IEEE/ACM Trans. Netw., 2016)

Efficient neighborhood selection for walk summable Gaussian graphical models. - Yingxang Yang; Jalal Etesami; Negar Kiyavash (ACSSC, 2017)

Interaction information for causal inference: The case of directed triangle. - AmirEmad Ghassami; Negar Kiyavash (ISIT, 2017)

Identifying nonlinear 1-step causal influences in presence of latent variables. - Saber Salehkaleybar; Jalal Etesami; Negar Kiyavash (ISIT, 2017)

Learning Causal Structures Using Regression Invariance. - AmirEmad Ghassami; Saber Salehkaleybar; Negar Kiyavash; Kun Zhang 001 (NIPS, 2017)

Online Learning for Multivariate Hawkes Processes. - Yingxiang Yang; Jalal Etesami; Niao He; Negar Kiyavash (NIPS, 2017)

A Reconnaissance Attack Mechanism for Fixed-Priority Real-Time Systems. - Chien-Ying Chen; AmirEmad Ghassami; Sibin Mohan; Negar Kiyavash; Rakesh B. Bobba; Rodolfo Pellizzoni; Man-Ki Yoon (CoRR, 2017)

A New Measure of Conditional Dependence for Causal Structural Learning. - Jalal Etesami; Kun Zhang 001; Negar Kiyavash (CoRR, 2017)

Optimal Experiment Design for Causal Discovery from Fixed Number of Experiments. - AmirEmad Ghassami; Saber Salehkaleybar; Negar Kiyavash (CoRR, 2017)

A Covert Queueing Channel in Round Robin Schedulers. - AmirEmad Ghassami; Ali Yekkehkhany; Negar Kiyavash; Yi Lu (CoRR, 2017)

Learning Latent Networks in Vector Auto Regressive Models. - Saber Salehkaleybar; Jalal Etesami; Negar Kiyavash (CoRR, 2017)

Significance of Side Information in the Graph Matching Problem. - Kushagra Singhal; Daniel Cullina; Negar Kiyavash (CoRR, 2017)

Exact alignment recovery for correlated Erdos Renyi graphs. - Daniel Cullina; Negar Kiyavash (CoRR, 2017)

Phonion: Practical Protection of Metadata in Telephony Networks. - Stephan Heuser; Bradley Reaves; Praveen Kumar Pendyala; Henry Carter; Alexandra Dmitrienko; William Enck; Negar Kiyavash; Ahmad-Reza Sadeghi; Patrick Traynor (Proc. Priv. Enhancing Technol., 2017)

Bounded-Degree Connected Approximations of Stochastic Networks. - Christopher J. Quinn; Ali Pinar; Negar Kiyavash (IEEE Trans. Mol. Biol. Multi Scale Commun., 2017)

Measuring Causal Relationships in Dynamical Systems through Recovery of Functional Dependencies. - Jalal Etesami; Negar Kiyavash (IEEE Trans. Signal Inf. Process. over Networks, 2017)

Learning Vector Autoregressive Models With Latent Processes. - Saber Salehkaleybar; Jalal Etesami; Negar Kiyavash; Kun Zhang 001 (AAAI, 2018)

Budgeted Experiment Design for Causal Structure Learning. - AmirEmad Ghassami; Saber Salehkaleybar; Negar Kiyavash; Elias Bareinboim (ICML, 2018)

Fundamental Limits of Database Alignment. - Daniel Cullina; Prateek Mittal; Negar Kiyavash (ISIT, 2018)

Fairness in Supervised Learning: An Information Theoretic Approach. - AmirEmad Ghassami; Sajad Khodadadian; Negar Kiyavash (ISIT, 2018)

Multi-domain Causal Structure Learning in Linear Systems. - AmirEmad Ghassami; Negar Kiyavash; Biwei Huang; Kun Zhang 001 (NeurIPS, 2018)

Predictive Approximate Bayesian Computation via Saddle Points. - Yingxiang Yang; Bo Dai 001; Negar Kiyavash; Niao He (NeurIPS, 2018)

Adversarial Machine Learning: The Case of Recommendation Systems. - Anh Truong; Negar Kiyavash; Seyed Rasoul Etesami (SPAWC, 2018)

Counting and Uniform Sampling from Markov Equivalent DAGs. - AmirEmad Ghassami; Saber Salehkaleybar; Negar Kiyavash (CoRR, 2018)

On the Performance of a Canonical Labeling for Matching Correlated Erdős-Rényi Graphs. - Osman Emre Dai; Daniel Cullina; Negar Kiyavash; Matthias Grossglauser (CoRR, 2018)

REORDER: Securing Dynamic-Priority Real-Time Systems Using Schedule Obfuscation. - Chien-Ying Chen; Monowar Hasan; AmirEmad Ghassami; Sibin Mohan; Negar Kiyavash (CoRR, 2018)

ScheduLeak: A Novel Scheduler Side-Channel Attack Against Real-Time Autonomous Control Systems. - Chien-Ying Chen; Sibin Mohan; Rakesh B. Bobba; Rodolfo Pellizzoni; Negar Kiyavash (CoRR, 2018)

Guest Editorial: Special Issue on Causal Discovery 2017. - Lin Liu 003; Jiuyong Li; Kun Zhang 001; Emre Kiciman; Negar Kiyavash (Int. J. Data Sci. Anal., 2018)

A Covert Queueing Channel in FCFS Schedulers. - AmirEmad Ghassami; Negar Kiyavash (IEEE Trans. Inf. Forensics Secur., 2018)

Optimal Attack Strategies Against Predictors - Learning From Expert Advice. - Anh Truong; S. Rasoul Etesami 001; Jalal Etesami; Negar Kiyavash (IEEE Trans. Inf. Forensics Secur., 2018)

Learning From Sleeping Experts: Rewarding Informative, Available, and Accurate Experts. - Anh Truong; S. Rasoul Etesami 001; Negar Kiyavash (ACM Trans. Design Autom. Electr. Syst., 2018)

Counting and Sampling from Markov Equivalent DAGs Using Clique Trees. - AmirEmad Ghassami; Saber Salehkaleybar; Negar Kiyavash; Kun Zhang 001 (AAAI, 2019)

Database Alignment with Gaussian Features. - Osman Emre Dai; Daniel Cullina; Negar Kiyavash (AISTATS, 2019)

Learning Hawkes Processes Under Synchronization Noise. - William Trouleau; Jalal Etesami; Matthias Grossglauser; Negar Kiyavash; Patrick Thiran (ICML, 2019)

Learning Positive Functions with Pseudo Mirror Descent. - Yingxiang Yang; Haoxiang Wang; Negar Kiyavash; Niao He (NeurIPS, 2019)

A Novel Side-Channel in Real-Time Schedulers. - Chien-Ying Chen; Sibin Mohan; Rodolfo Pellizzoni; Rakesh B. Bobba; Negar Kiyavash (RTAS, 2019)

Interventional Experiment Design for Causal Structure Learning. - AmirEmad Ghassami; Saber Salehkaleybar; Negar Kiyavash (CoRR, 2019)

Characterizing Distribution Equivalence for Cyclic and Acyclic Directed Graphs. - AmirEmad Ghassami; Kun Zhang 001; Negar Kiyavash (CoRR, 2019)

Model-Augmented Nearest-Neighbor Estimation of Conditional Mutual Information for Feature Selection. - Alan Yang; AmirEmad Ghassami; Maxim Raginsky; Negar Kiyavash; Elyse Rosenbaum (CoRR, 2019)

A bi-criteria multiple-choice secretary problem. - Ge Yu 006; Sheldon H. Jacobson; Negar Kiyavash (IISE Trans., 2019)

Partial Recovery of Erdðs-Rényi Graph Alignment via k-Core Alignment. - Daniel Cullina; Negar Kiyavash; Prateek Mittal; H. Vincent Poor (Proc. ACM Meas. Anal. Comput. Syst., 2019)

Analysis of a Canonical Labeling Algorithm for the Alignment of Correlated Erdos-Rényi Graphs. - Osman Emre Dai; Daniel Cullina; Negar Kiyavash; Matthias Grossglauser (Proc. ACM Meas. Anal. Comput. Syst., 2019)

LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments. - Ali AhmadiTeshnizi; Saber Salehkaleybar; Negar Kiyavash (ICML, 2020)

Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs. - AmirEmad Ghassami; Alan Yang; Negar Kiyavash; Kun Zhang 001 (ICML, 2020)

Achievability of nearly-exact alignment for correlated Gaussian databases. - Osman Emre Dai; Daniel Cullina; Negar Kiyavash (ISIT, 2020)

Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems. - Junchi Yang; Negar Kiyavash; Niao He (NeurIPS, 2020)

The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models. - Yingxiang Yang; Negar Kiyavash; Le Song; Niao He (NeurIPS, 2020)

A Catalyst Framework for Minimax Optimization. - Junchi Yang; Siqi Zhang; Negar Kiyavash; Niao He (NeurIPS, 2020)

Partial Recovery of Erdős-Rényi Graph Alignment via k-Core Alignment. - Daniel Cullina; Negar Kiyavash; Prateek Mittal; H. Vincent Poor (SIGMETRICS (Abstracts), 2020)

Model-Augmented Conditional Mutual Information Estimation for Feature Selection. - Alan Yang; AmirEmad Ghassami; Maxim Raginsky; Negar Kiyavash; Elyse Rosenbaum (UAI, 2020)

Adversarial Policies in Learning Systems with Malicious Experts. - S. Rasoul Etesami 001; Negar Kiyavash; H. Vincent Poor (CoRR, 2020)

Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems. - Junchi Yang; Negar Kiyavash; Niao He (CoRR, 2020)

A Recursive Markov Blanket-Based Approach to Causal Structure Learning. - Ehsan Mokhtarian; Sina Akbari; AmirEmad Ghassami; Negar Kiyavash (CoRR, 2020)

Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables. - Saber Salehkaleybar; AmirEmad Ghassami; Negar Kiyavash; Kun Zhang 001 (J. Mach. Learn. Res., 2020)

Guest Editorial. - Richard G. Baraniuk; Alex Dimakis; Negar Kiyavash; Sewoong Oh; Rebecca Willett (IEEE J. Sel. Areas Inf. Theory, 2020)

Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors]. - Antonio G. Marques; Negar Kiyavash; José M. F. Moura; Dimitri Van De Ville; Rebecca Willett (IEEE Signal Process. Mag., 2020)

A Variational Inference Approach to Learning Multivariate Wold Processes. - Jalal Etesami; William Trouleau; Negar Kiyavash; Matthias Grossglauser; Patrick Thiran (AISTATS, 2021)

Selective Labeling in Learning with Expert Advice. - Anh Truong; S. Rasoul Etesami 001; Negar Kiyavash (ACC, 2021)

Cumulants of Hawkes Processes are Robust to Observation Noise. - William Trouleau; Jalal Etesami; Matthias Grossglauser; Negar Kiyavash; Patrick Thiran (ICML, 2021)

Impact of Data Processing on Fairness in Supervised Learning. - Sajad Khodadadian; AmirEmad Ghassami; Negar Kiyavash (ISIT, 2021)

Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery. - Thuc Duy Le; Jiuyong Li; Gregory F. Cooper; Sofia Triantafyllou; Elias Bareinboim; Huan Liu 001; Negar Kiyavash (CD@KDD, 2021)

The KDD 2021 Workshop on Causal Discovery (CD2021). - Thuc Duy Le; Jiuyong Li; Gregory F. Cooper; Sofia Triantafillou; Elias Bareinboim; Huan Liu 001; Negar Kiyavash (KDD, 2021)

A Recursive Markov Boundary-Based Approach to Causal Structure Learning. - Ehsan Mokhtarian; Sina Akbari; AmirEmad Ghassami; Negar Kiyavash (CD@KDD, 2021)

Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias. - Sina Akbari; Ehsan Mokhtarian; AmirEmad Ghassami; Negar Kiyavash (NeurIPS, 2021)

The complexity of nonconvex-strongly-concave minimax optimization. - Siqi Zhang; Junchi Yang; Cristóbal Guzmán; Negar Kiyavash; Niao He (UAI, 2021)

Information Theoretic Measures for Fairness-aware Feature Selection. - Sajad Khodadadian; Mohamed S. Nafea; AmirEmad Ghassami; Negar Kiyavash (CoRR, 2021)

Editorial. - Anshul Gandhi; Negar Kiyavash; Jia Wang 001 (Proc. ACM Meas. Anal. Comput. Syst., 2021)

Optimal Adversarial Policies in the Multiplicative Learning System With a Malicious Expert. - S. Rasoul Etesami 001; Negar Kiyavash; Vincent Léon; H. Vincent Poor (IEEE Trans. Inf. Forensics Secur., 2021)

Learning Bayesian Networks in the Presence of Structural Side Information. - Ehsan Mokhtarian; Sina Akbari; Fateme Jamshidi; Jalal Etesami; Negar Kiyavash (AAAI, 2022)

Causal Effect Identification with Context-specific Independence Relations of Control Variables. - Ehsan Mokhtarian; Fateme Jamshidi; Jalal Etesami; Negar Kiyavash (AISTATS, 2022)

Causal Discovery in Linear Structural Causal Models with Deterministic Relations. - Yuqin Yang; Mohamed S. Nafea; AmirEmad Ghassami; Negar Kiyavash (CLeaR, 2022)

Minimum Cost Intervention Design for Causal Effect Identification. - Sina Akbari; Jalal Etesami; Negar Kiyavash (ICML, 2022)

Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality. - Ilyas Fatkhullin; Jalal Etesami; Niao He; Negar Kiyavash (NeurIPS, 2022)

Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions. - Saeed Masiha; Saber Salehkaleybar; Niao He; Negar Kiyavash; Patrick Thiran (NeurIPS, 2022)

Causal Discovery in Linear Latent Variable Models Subject to Measurement Error. - Yuqin Yang; AmirEmad Ghassami; Mohamed S. Nafea; Negar Kiyavash; Kun Zhang 001; Ilya Shpitser (NeurIPS, 2022)

Revisiting the general identifiability problem. - Yaroslav Kivva; Ehsan Mokhtarian; Jalal Etesami; Negar Kiyavash (UAI, 2022)

Adaptive Momentum-Based Policy Gradient with Second-Order Information. - Saber Salehkaleybar; Sadegh Khorasani; Negar Kiyavash; Niao He; Patrick Thiran (CoRR, 2022)

Stochastic Second-Order Methods Provably Beat SGD For Gradient-Dominated Functions. - Saeed Masiha; Saber Salehkaleybar; Niao He; Negar Kiyavash; Patrick Thiran (CoRR, 2022)

Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect. - Sina Akbari; Fateme Jamshidi; Ehsan Mokhtarian; Matthew J. Vowels; Jalal Etesami; Negar Kiyavash (CoRR, 2022)

Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables. - Ehsan Mokhtarian; Mohammadsadegh Khorasani; Jalal Etesami; Negar Kiyavash (AAAI, 2023)

Causal Effect Identification in Uncertain Causal Networks. - Sina Akbari; Fateme Jamshidi; Ehsan Mokhtarian; Matthew J. Vowels; Jalal Etesami; Negar Kiyavash (NeurIPS, 2023)

Causal Imitability Under Context-Specific Independence Relations. - Fateme Jamshidi; Sina Akbari; Negar Kiyavash (NeurIPS, 2023)

A Cross-Moment Approach for Causal Effect Estimation. - Yaroslav Kivva; Saber Salehkaleybar; Negar Kiyavash (NeurIPS, 2023)

On Identifiability of Conditional Causal Effects. - Yaroslav Kivva; Jalal Etesami; Negar Kiyavash (UAI, 2023)

Learning Causal Graphs via Monotone Triangular Transport Maps. - Sina Akbari; Luca Ganassali; Negar Kiyavash (CoRR, 2023)

Gaussian Database Alignment and Gaussian Planted Matching. - Osman Emre Dai; Daniel Cullina; Negar Kiyavash (CoRR, 2023)

Efficiently Escaping Saddle Points for Non-Convex Policy Optimization. - Sadegh Khorasani; Saber Salehkaleybar; Negar Kiyavash; Niao He; Matthias Grossglauser (CoRR, 2023)

Modeling Systemic Risk: A Time-Varying Nonparametric Causal Inference Framework. - Jalal Etesami; Ali Habibnia; Negar Kiyavash (CoRR, 2023)

A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models. - Ehsan Mokhtarian; Saber Salehkaleybar; AmirEmad Ghassami; Negar Kiyavash (J. Mach. Learn. Res., 2023)

Analysis of Large Market Data Using Neural Networks: A Causal Approach. - Marc-Aurèle Divernois; Jalal Etesami; Damir Filipovic; Negar Kiyavash (IEEE J. Sel. Areas Inf. Theory, 2023)

Editorial Special Issue on Causality: Fundamental Limits and Applications. - Negar Kiyavash; Elias Bareinboim; Todd P. Coleman; Alex Dimakis; Bernhard Schlkopf; Peter Spirtes; Kun Zhang 001; Robert Nowak 001 (IEEE J. Sel. Areas Inf. Theory, 2023)

s-ID: Causal Effect Identification in a Sub-population. - Amir Mohammad Abouei; Ehsan Mokhtarian; Negar Kiyavash (AAAI, 2024)

CausalCite: A Causal Formulation of Paper Citations. - Ishan Kumar; Zhijing Jin 001; Ehsan Mokhtarian; Siyuan Guo; Yuen Chen; Negar Kiyavash; Mrinmaya Sachan; Bernhard Schölkopf (ACL (Findings), 2024)

Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data. - Yuqin Yang; Saber Salehkaleybar; Negar Kiyavash (AISTATS, 2024)

Confounded Budgeted Causal Bandits. - Fateme Jamshidi; Jalal Etesami; Negar Kiyavash (CLeaR, 2024)

Triple Changes Estimator for Targeted Policies. - Sina Akbari; Negar Kiyavash (ICML, 2024)

On the sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery. - Fateme Jamshidi; Luca Ganassali; Negar Kiyavash (ICML, 2024)

Causal Effect Identification in LiNGAM Models with Latent Confounders. - Daniele Tramontano; Yaroslav Kivva; Saber Salehkaleybar; Mathias Drton; Negar Kiyavash (ICML, 2024)

Causal Effect Identification in a Sub-Population with Latent Variables. - Amir Mohammad Abouei; Ehsan Mokhtarian; Negar Kiyavash; Matthias Grossglauser (NeurIPS, 2024)

Fast Proxy Experiment Design for Causal Effect Identification. - Sepehr Elahi; Sina Akbari; Jalal Etesami; Negar Kiyavash; Patrick Thiran (NeurIPS, 2024)

QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs. - Mohammad ShahverdiKondori; Ehsan Mokhtarian; Negar Kiyavash (NeurIPS, 2024)

Recursive Causal Discovery. - Ehsan Mokhtarian; Sepehr Elahi; Sina Akbari; Negar Kiyavash (CoRR, 2024)

Causal Discovery in Linear Models with Unobserved Variables and Measurement Error. - Yuqin Yang; Mohamed S. Nafea; Negar Kiyavash; Kun Zhang 001; AmirEmad Ghassami (CoRR, 2024)

Complexity of Minimizing Projected-Gradient-Dominated Functions with Stochastic First-order Oracles. - Saeed Masiha; Saber Salehkaleybar; Niao He; Negar Kiyavash; Patrick Thiran (CoRR, 2024)

Multi-armed Bandits with Missing Outcome. - Ilia Mahrooghi; Mahshad Moradi; Sina Akbari; Negar Kiyavash (CoRR, 2024)

Momentum-Based Policy Gradient with Second-Order Information. - Saber Salehkaleybar; Mohammadsadegh Khorasani; Negar Kiyavash; Niao He; Patrick Thiran (Trans. Mach. Learn. Res., 2024)

Multi-Domain Causal Discovery in Bijective Causal Models. - Kasra Jalaldoust; Saber Salehkaleybar; Negar Kiyavash (CLeaR, 2025)

Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding. - Fateme Jamshidi; Sina Akbari; Negar Kiyavash (CLeaR, 2025)

Causal Bandits without Graph Learning. - Mikhail Konobeev; Jalal Etesami; Negar Kiyavash (CLeaR, 2025)

Efficiently Escaping Saddle Points for Policy Optimization. - Mohammadsadegh Khorasani; Saber Salehkaleybar; Negar Kiyavash; Niao He; Matthias Grossglauser (UAI, 2025)

Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments. - Yaroslav Kivva; Sina Akbari; Saber Salehkaleybar; Negar Kiyavash (UAI, 2025)

Multi-armed Bandits with Missing Outcomes. - Ilia Mahrooghi; Mahshad Moradi; Sina Akbari; Negar Kiyavash (UAI, 2025)

Optimal Best Arm Identification with Post-Action Context. - Mohammad ShahverdiKondori; Amir Mohammad Abouei; Alireza Rezaeimoghadam; Negar Kiyavash (CoRR, 2025)

Graph-Dependent Regret Bounds in Multi-Armed Bandits with Interference. - Fateme Jamshidi; Mohammad ShahverdiKondori; Negar Kiyavash (CoRR, 2025)

Best Group Identification in Multi-Objective Bandits. - Mohammad ShahverdiKondori; Mohammad Reza Badri; Negar Kiyavash (CoRR, 2025)

Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants. - Daniele Tramontano; Yaroslav Kivva; Saber Salehkaleybar; Mathias Drton; Negar Kiyavash (CoRR, 2025)

Hierarchical Reinforcement Learning with Targeted Causal Interventions. - Sadegh Khorasani; Saber Salehkaleybar; Negar Kiyavash; Matthias Grossglauser (CoRR, 2025)

Fusing Rewards and Preferences in Reinforcement Learning. - Sadegh Khorasani; Saber Salehkaleybar; Negar Kiyavash; Matthias Grossglauser (CoRR, 2025)