Ali Jadbabaie

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 204

Top Venues

CoRR

CDC

ACC

IEEE Trans. Autom. Control.

Publications

Arnab Sarker, Ali Jadbabaie, Devavrat Shah
Unifying Epidemic Models With Mixtures. IEEE Trans. Signal Inf. Process. over Networks 10 (2024)
Juncal Arbelaiz, Bassam Bamieh, Anette E. Hosoi, Ali Jadbabaie
Optimal estimation in spatially distributed systems: how far to share measurements from? CoRR (2024)
Kwangjun Ahn, Xiang Cheng, Minhak Song, Chulhee Yun, Ali Jadbabaie, Suvrit Sra
Linear attention is (maybe) all you need (to understand Transformer optimization). ICLR (2024)
Xinyi Wu, Amir Ajorlou, Yifei Wang, Stefanie Jegelka, Ali Jadbabaie
On the Role of Attention Masks and LayerNorm in Transformers. CoRR (2024)
Haoyuan Sun, Ali Jadbabaie
A least-square method for non-asymptotic identification in linear switching control. CoRR (2024)
Michael Scholkemper, Xinyi Wu, Ali Jadbabaie, Michael T. Schaub
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs. CoRR (2024)
Mahyar JafariNodeh, Amir Ajorlou, Ali Jadbabaie
Belief Samples Are All You Need For Social Learning. CoRR (2024)
Xinyi Wu, Amir Ajorlou, Zihui Wu, Ali Jadbabaie
Demystifying Oversmoothing in Attention-Based Graph Neural Networks. CoRR (2023)
Haochuan Li, Ali Jadbabaie, Alexander Rakhlin
Convergence of Adam Under Relaxed Assumptions. CoRR (2023)
Daniel Halpern, Joseph Y. Halpern, Ali Jadbabaie, Elchanan Mossel, Ariel D. Procaccia, Manon Revel
In Defense of Liquid Democracy. EC (2023)
Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, Ali Jadbabaie
Convex and Non-convex Optimization Under Generalized Smoothness. NeurIPS (2023)
Ali Jadbabaie, Anuran Makur, Amirhossein Reisizadeh
Adaptive Low-Rank Gradient Descent. CDC (2023)
Jennifer Tang, Aviv Adler, Amir Ajorlou, Ali Jadbabaie
Stochastic Opinion Dynamics under Social Pressure in Arbitrary Networks. CoRR (2023)
Kwangjun Ahn, Zakaria Mhammedi, Horia Mania, Zhang-Wei Hong, Ali Jadbabaie
Model Predictive Control via On-Policy Imitation Learning. L4DC (2023)
Haochuan Li, Alexander Rakhlin, Ali Jadbabaie
Convergence of Adam Under Relaxed Assumptions. NeurIPS (2023)
Xinyi Wu, Zhengdao Chen, William Wei Wang, Ali Jadbabaie
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks. ICLR (2023)
Kwangjun Ahn, Daniel Pfrommer, Jack Umenberger, Tobia Marcucci, Zakaria Mhammedi, Ali Jadbabaie
Smooth Model Predictive Control with Applications to Statistical Learning. CoRR (2023)
Jennifer Tang, Aviv Adler, Amir Ajorlou, Ali Jadbabaie
Stochastic Opinion Dynamics Under Social Pressure in Arbitrary Networks. CDC (2023)
Ali Jadbabaie, Anuran Makur, Devavrat Shah
Federated Optimization of Smooth Loss Functions. IEEE Trans. Inf. Theory 69 (12) (2023)
Farzan Farnia, William W. Wang, Subhro Das, Ali Jadbabaie
GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models. SIAM J. Math. Data Sci. 5 (1) (2023)
Kwangjun Ahn, Ali Jadbabaie, Suvrit Sra
How to escape sharp minima. CoRR (2023)
Jennifer Tang, Aviv Adler, Amir Ajorlou, Ali Jadbabaie
Estimating True Beliefs from Declared Opinions. CoRR (2023)
Amirhossein Reisizadeh, Haochuan Li, Subhro Das, Ali Jadbabaie
Variance-reduced Clipping for Non-convex Optimization. CoRR (2023)
Amir Ajorlou, Ali Jadbabaie
Sales-Based Rebate Design. Manag. Sci. 69 (10) (2023)
Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, Ali Jadbabaie
Convex and Non-Convex Optimization under Generalized Smoothness. CoRR (2023)
Kwangjun Ahn, Xiang Cheng, Minhak Song, Chulhee Yun, Ali Jadbabaie, Suvrit Sra
Linear attention is (maybe) all you need (to understand transformer optimization). CoRR (2023)
Serban Sabau, Andrei Sperila, Cristian Oara, Ali Jadbabaie
Network Realization Functions for Optimal Distributed Control. IEEE Trans. Autom. Control. 68 (12) (2023)
Xinyi Wu, Amir Ajorlou, Zihui Wu, Ali Jadbabaie
Demystifying Oversmoothing in Attention-Based Graph Neural Networks. NeurIPS (2023)
Adam Block, Ali Jadbabaie, Daniel Pfrommer, Max Simchowitz, Russ Tedrake
Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior. NeurIPS (2023)
Romain Cosson, Ali Jadbabaie, Anuran Makur, Amirhossein Reisizadeh, Devavrat Shah
Gradient Descent with Low-Rank Objective Functions. CDC (2023)
Ali Jadbabaie, Anuran Makur, Elchanan Mossel, Rabih Salhab
Inference in Opinion Dynamics Under Social Pressure. IEEE Trans. Autom. Control. 68 (6) (2023)
Farzan Farnia, Amirhossein Reisizadeh, Ramtin Pedarsani, Ali Jadbabaie
An Optimal Transport Approach to Personalized Federated Learning. IEEE J. Sel. Areas Inf. Theory 3 (2) (2022)
Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie
On Convergence of Gradient Descent Ascent: A Tight Local Analysis. ICML (2022)
Farzan Farnia, Amirhossein Reisizadeh, Ramtin Pedarsani, Ali Jadbabaie
An Optimal Transport Approach to Personalized Federated Learning. CoRR (2022)
Serban Sabau, Andrei Sperila, Cristian Oara, Ali Jadbabaie
Sparse Representations of Dynamical Networks: A Coprime Factorization Approach. CoRR (2022)
Vasileios Tzoumas, Ali Jadbabaie, George J. Pappas
Robust and Adaptive Sequential Submodular Optimization. IEEE Trans. Autom. Control. 67 (1) (2022)
Kwangjun Ahn, Zakaria Mhammedi, Horia Mania, Zhang-Wei Hong, Ali Jadbabaie
Model Predictive Control via On-Policy Imitation Learning. CoRR (2022)
Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian
Byzantine-Robust Federated Linear Bandits. CDC (2022)
Jingzhao Zhang, Hongzhou Lin, Subhro Das, Suvrit Sra, Ali Jadbabaie
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity. ICML (2022)
Arnab Sarker, Ali Jadbabaie, Devavrat Shah
Unifying Epidemic Models with Mixtures. CoRR (2022)
Romain Cosson, Ali Jadbabaie, Anuran Makur, Amirhossein Reisizadeh, Devavrat Shah
Gradient Descent for Low-Rank Functions. CoRR (2022)
Arnab Sarker, Natalie Northrup, Ali Jadbabaie
Generalizing Homophily to Simplicial Complexes. COMPLEX NETWORKS (2) (2022)
Horia Mania, Ali Jadbabaie, Devavrat Shah, Suvrit Sra
Time Varying Regression with Hidden Linear Dynamics. L4DC (2022)
Ali Jadbabaie, Arnab Sarker, Devavrat Shah
Current Implicit Policies May Not Eradicate COVID-19. CoRR (2022)
Xinyi Wu, Zhengdao Chen, William Wang, Ali Jadbabaie
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks. CoRR (2022)
Jingzhao Zhang, Haochuan Li, Suvrit Sra, Ali Jadbabaie
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective. ICML (2022)
Xinyi Wu, Arnab Sarker, Ali Jadbabaie
Link Partitioning on Simplicial Complexes Using Higher-Order Laplacians. ICDM (2022)
Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie
On Convergence of Gradient Descent Ascent: A Tight Local Analysis. CoRR (2022)
Arnab Sarker, Natalie Northrup, Ali Jadbabaie
Generalizing Homophily to Simplicial Complexes. CoRR (2022)
Xinyi Wu, Arnab Sarker, Ali Jadbabaie
Link Partitioning on Simplicial Complexes Using Higher-Order Laplacians. CoRR (2022)
Ali Jadbabaie, Anuran Makur, Devavrat Shah
Federated Optimization of Smooth Loss Functions. CoRR (2022)
Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian
Byzantine-Robust Federated Linear Bandits. CoRR (2022)
Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger
Preface. L4DC (2021)
Amir Ajorlou, Ali Jadbabaie
Local Optimality of Almost Piecewise-Linear Quantizers for Witsenhausen's Problem. IEEE Trans. Autom. Control. 66 (7) (2021)
Serban Sabau, Andrei Sperila, Cristian Oara, Ali Jadbabaie
Network Realization Functions for Optimal Distributed Control. CoRR (2021)
Daniel Halpern, Joseph Y. Halpern, Ali Jadbabaie, Elchanan Mossel, Ariel D. Procaccia, Manon Revel
In Defense of Fluid Democracy. CoRR (2021)
Arnab Sarker, Jean-Baptiste Seby, Austin R. Benson, Ali Jadbabaie
Higher Order Information Identifies Tie Strength. CoRR (2021)
Jingzhao Zhang, Haochuan Li, Suvrit Sra, Ali Jadbabaie
On Convergence of Training Loss Without Reaching Stationary Points. CoRR (2021)
Milad Siami, Alexander Olshevsky, Ali Jadbabaie
Deterministic and Randomized Actuator Scheduling With Guaranteed Performance Bounds. IEEE Trans. Autom. Control. 66 (4) (2021)
Chulhee Yun, Suvrit Sra, Ali Jadbabaie
Open Problem: Can Single-Shuffle SGD be Better than Reshuffling SGD and GD? COLT (2021)
Haochuan Li, Yi Tian, Jingzhao Zhang, Ali Jadbabaie
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization. CoRR (2021)
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
A General Framework for Distributed Inference With Uncertain Models. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
Toward Active Sequential Hypothesis Testing with Uncertain Models. CDC (2021)
Chin-Chia Hsu, Amir Ajorlou, Ali Jadbabaie
Persuasion, News Sharing, and Cascades on Social Networks. CDC (2021)
Jan Hazla, Ali Jadbabaie, Elchanan Mossel, M. Amin Rahimian
Bayesian Decision Making in Groups is Hard. Oper. Res. 69 (2) (2021)
Vasileios Tzoumas, Luca Carlone, George J. Pappas, Ali Jadbabaie
LQG Control and Sensing Co-Design. IEEE Trans. Autom. Control. 66 (4) (2021)
Juncal Arbelaiz, Bassam Bamieh, Anette E. Hosoi, Ali Jadbabaie
Optimal structured controllers for spatially invariant systems: a convex reformulation. CDC (2021)
Ali Jadbabaie, Anuran Makur, Elchanan Mossel, Rabih Salhab
Opinion Dynamics under Social Pressure. CoRR (2021)
Haochuan Li, Yi Tian, Jingzhao Zhang, Ali Jadbabaie
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization. NeurIPS (2021)
Chulhee Yun, Suvrit Sra, Ali Jadbabaie
Can Single-Shuffle SGD be Better than Reshuffling SGD and GD? CoRR (2021)
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
A General Framework for Distributed Inference with Uncertain Models. CoRR (2020)
Jingzhao Zhang, Hongzhou Lin, Suvrit Sra, Ali Jadbabaie
On Complexity of Finding Stationary Points of Nonsmooth Nonconvex Functions. CoRR (2020)
Farzan Farnia, William Wang, Subhro Das, Ali Jadbabaie
GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models. CoRR (2020)
Jingzhao Zhang, Tianxing He, Suvrit Sra, Ali Jadbabaie
Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity. ICLR (2020)
Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie
Blind Community Detection From Low-Rank Excitations of a Graph Filter. IEEE Trans. Signal Process. 68 (2020)
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
Communication Constrained Learning with Uncertain Models. ICASSP (2020)
Ali Jadbabaie, Anuran Makur, Devavrat Shah
Estimation of Skill Distribution from a Tournament. NeurIPS (2020)
Milad Siami, Ali Jadbabaie
A separation theorem for joint sensor and actuator scheduling with guaranteed performance bounds. Autom. 119 (2020)
Soheil Feizi, Gerald T. Quon, Mariana Recamonde Mendoza, Muriel Médard, Manolis Kellis, Ali Jadbabaie
Spectral Alignment of Graphs. IEEE Trans. Netw. Sci. Eng. 7 (3) (2020)
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
Non-Bayesian Social Learning With Uncertain Models. IEEE Trans. Signal Process. 68 (2020)
César A. Uribe, Ali Jadbabaie
A Distributed Cubic-Regularized Newton Method for Smooth Convex Optimization over Networks. CoRR (2020)
Rabih Salhab, Amir Ajorlou, Ali Jadbabaie, Josh Tenenbaum
Social Learning with Sparse Belief Samples. CogSci (2020)
Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani, Ali Jadbabaie
Robust Federated Learning: The Case of Affine Distribution Shifts. CoRR (2020)
Michael T. Schaub, Austin R. Benson, Paul Horn, Gabor Lippner, Ali Jadbabaie
Random Walks on Simplicial Complexes and the Normalized Hodge 1-Laplacian. SIAM Rev. 62 (2) (2020)
Milad Siami, Ali Jadbabaie
A Separation Theorem for Joint Sensor and Actuator Scheduling with Guaranteed Performance Bounds. CoRR (2020)
James Zachary Hare, Cesar A. Uribe, Lance M. Kaplan, Ali Jadbabaie
Non-Bayesian Social Learning with Gaussian Uncertain Models. ACC (2020)
Paolo Bertolotti, Ali Jadbabaie, Fotini Christia
Tests for Network Cascades via Branching Processes. IEEE Trans. Netw. Sci. Eng. 7 (4) (2020)
Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani, Ali Jadbabaie
Robust Federated Learning: The Case of Affine Distribution Shifts. NeurIPS (2020)
Ali Jadbabaie, Anuran Makur, Devavrat Shah
Gradient-Based Empirical Risk Minimization using Local Polynomial Regression. CoRR (2020)
Juncal Arbelaiz, Bassam Bamieh, Anette E. Hosoi, Ali Jadbabaie
Distributed Kalman filtering for spatially-invariant diffusion processes: the effect of noise on communication requirements. CDC (2020)
Yu Zhu, Michael T. Schaub, Ali Jadbabaie, Santiago Segarra
Network Inference From Consensus Dynamics With Unknown Parameters. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Rabih Salhab, Amir Ajorlou, Ali Jadbabaie
Social Learning with Sparse Belief Samples. CDC (2020)
Jingzhao Zhang, Hongzhou Lin, Subhro Das, Suvrit Sra, Ali Jadbabaie
Stochastic Optimization with Non-stationary Noise. CoRR (2020)
Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. AISTATS (2020)
Chin-Chia Hsu, Amir Ajorlou, Muhamet Yildiz, Ali Jadbabaie
Information Disclosure and Network Formation in News Subscription Services. CDC (2020)
Jingzhao Zhang, Hongzhou Lin, Stefanie Jegelka, Suvrit Sra, Ali Jadbabaie
Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions. ICML (2020)
Ali Jadbabaie, Anuran Makur, Devavrat Shah
Estimation of Skill Distributions. CoRR (2020)
Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. CoRR (2019)
Jingzhao Zhang, Tianxing He, Suvrit Sra, Ali Jadbabaie
Analysis of Gradient Clipping and Adaptive Scaling with a Relaxed Smoothness Condition. CoRR (2019)
Chulhee Yun, Suvrit Sra, Ali Jadbabaie
Are deep ResNets provably better than linear predictors? NeurIPS (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ali Jadbabaie