default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAli Jadbabaie
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j71]Ali Jadbabaie
, Anuran Makur, Devavrat Shah:
Estimation of Skill Distributions. IEEE Trans. Inf. Theory 70(9): 6447-6480 (2024)- [j70]Arnab Sarker, Ali Jadbabaie, Devavrat Shah:
Unifying Epidemic Models With Mixtures. IEEE Trans. Signal Inf. Process. over Networks 10: 239-252 (2024) - [c205]Jennifer Tang, Amir Ajorlou, Ali Jadbabaie:
Evolution of Opinions Under Social Pressure on Random Graphs. ACC 2024: 2772-2777 - [c204]Jennifer Tang, Aviv Adler, Amir Ajorlou, Ali Jadbabaie:
Estimating True Beliefs from Declared Opinions. ACC 2024: 2796-2801 - [c203]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 - [c202]Kwangjun Ahn, Ali Jadbabaie, Suvrit Sra:
How to Escape Sharp Minima with Random Perturbations. ICML 2024 - [i125]Mahyar JafariNodeh, Amir Ajorlou, Ali Jadbabaie:
Belief Samples Are All You Need For Social Learning. CoRR abs/2403.17174 (2024) - [i124]Haoyuan Sun, Ali Jadbabaie:
A least-square method for non-asymptotic identification in linear switching control. CoRR abs/2404.08120 (2024) - [i123]Xinyi Wu, Amir Ajorlou, Yifei Wang, Stefanie Jegelka, Ali Jadbabaie:
On the Role of Attention Masks and LayerNorm in Transformers. CoRR abs/2405.18781 (2024) - [i122]Michael Scholkemper, Xinyi Wu, Ali Jadbabaie, Michael T. Schaub:
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs. CoRR abs/2406.02997 (2024) - [i121]Juncal Arbelaiz, Bassam Bamieh, Anette E. Hosoi, Ali Jadbabaie:
Optimal estimation in spatially distributed systems: how far to share measurements from? CoRR abs/2406.14781 (2024) - [i120]Daniel Pfrommer, Swati Padmanabhan, Kwangjun Ahn, Jack Umenberger, Tobia Marcucci, Zakaria Mhammedi, Ali Jadbabaie:
Improved Sample Complexity of Imitation Learning for Barrier Model Predictive Control. CoRR abs/2410.00859 (2024) - 2023
- [j69]Amir Ajorlou, Ali Jadbabaie:
Sales-Based Rebate Design. Manag. Sci. 69(10): 5983-6000 (2023) - [j68]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): 122-146 (2023) - [j67]Ali Jadbabaie, Anuran Makur, Elchanan Mossel, Rabih Salhab:
Inference in Opinion Dynamics Under Social Pressure. IEEE Trans. Autom. Control. 68(6): 3377-3392 (2023) - [j66]Serban Sabau, Andrei Sperila, Cristian Oara, Ali Jadbabaie:
Network Realization Functions for Optimal Distributed Control. IEEE Trans. Autom. Control. 68(12): 8059-8066 (2023) - [j65]Ali Jadbabaie, Anuran Makur, Devavrat Shah:
Federated Optimization of Smooth Loss Functions. IEEE Trans. Inf. Theory 69(12): 7836-7866 (2023) - [c201]Jennifer Tang, Aviv Adler, Amir Ajorlou, Ali Jadbabaie:
Stochastic Opinion Dynamics Under Social Pressure in Arbitrary Networks. CDC 2023: 1360-1366 - [c200]Romain Cosson, Ali Jadbabaie, Anuran Makur, Amirhossein Reisizadeh, Devavrat Shah:
Gradient Descent with Low-Rank Objective Functions. CDC 2023: 3309-3314 - [c199]Ali Jadbabaie, Anuran Makur, Amirhossein Reisizadeh:
Adaptive Low-Rank Gradient Descent. CDC 2023: 3315-3320 - [c198]Xinyi Wu, Zhengdao Chen, William Wei Wang, Ali Jadbabaie:
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks. ICLR 2023 - [c197]Kwangjun Ahn, Zakaria Mhammedi, Horia Mania, Zhang-Wei Hong, Ali Jadbabaie:
Model Predictive Control via On-Policy Imitation Learning. L4DC 2023: 1493-1505 - [c196]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 - [c195]Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, Ali Jadbabaie:
Convex and Non-convex Optimization Under Generalized Smoothness. NeurIPS 2023 - [c194]Haochuan Li, Alexander Rakhlin, Ali Jadbabaie:
Convergence of Adam Under Relaxed Assumptions. NeurIPS 2023 - [c193]Xinyi Wu, Amir Ajorlou, Zihui Wu, Ali Jadbabaie:
Demystifying Oversmoothing in Attention-Based Graph Neural Networks. NeurIPS 2023 - [c192]Daniel Halpern, Joseph Y. Halpern, Ali Jadbabaie, Elchanan Mossel, Ariel D. Procaccia, Manon Revel:
In Defense of Liquid Democracy. EC 2023: 852 - [i119]Amirhossein Reisizadeh, Haochuan Li, Subhro Das, Ali Jadbabaie:
Variance-reduced Clipping for Non-convex Optimization. CoRR abs/2303.00883 (2023) - [i118]Haochuan Li, Ali Jadbabaie, Alexander Rakhlin:
Convergence of Adam Under Relaxed Assumptions. CoRR abs/2304.13972 (2023) - [i117]Kwangjun Ahn, Ali Jadbabaie, Suvrit Sra:
How to escape sharp minima. CoRR abs/2305.15659 (2023) - [i116]Xinyi Wu, Amir Ajorlou, Zihui Wu, Ali Jadbabaie:
Demystifying Oversmoothing in Attention-Based Graph Neural Networks. CoRR abs/2305.16102 (2023) - [i115]Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, Ali Jadbabaie:
Convex and Non-Convex Optimization under Generalized Smoothness. CoRR abs/2306.01264 (2023) - [i114]Kwangjun Ahn, Daniel Pfrommer, Jack Umenberger, Tobia Marcucci, Zakaria Mhammedi, Ali Jadbabaie:
Smooth Model Predictive Control with Applications to Statistical Learning. CoRR abs/2306.01914 (2023) - [i113]Jennifer Tang, Aviv Adler, Amir Ajorlou, Ali Jadbabaie:
Stochastic Opinion Dynamics under Social Pressure in Arbitrary Networks. CoRR abs/2308.09275 (2023) - [i112]Kwangjun Ahn, Xiang Cheng, Minhak Song, Chulhee Yun, Ali Jadbabaie, Suvrit Sra:
Linear attention is (maybe) all you need (to understand transformer optimization). CoRR abs/2310.01082 (2023) - [i111]Jennifer Tang, Aviv Adler, Amir Ajorlou, Ali Jadbabaie:
Estimating True Beliefs from Declared Opinions. CoRR abs/2310.17171 (2023) - 2022
- [j64]Farzan Farnia, Amirhossein Reisizadeh, Ramtin Pedarsani, Ali Jadbabaie:
An Optimal Transport Approach to Personalized Federated Learning. IEEE J. Sel. Areas Inf. Theory 3(2): 162-171 (2022) - [j63]Vasileios Tzoumas, Ali Jadbabaie, George J. Pappas:
Robust and Adaptive Sequential Submodular Optimization. IEEE Trans. Autom. Control. 67(1): 89-104 (2022) - [c191]Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian:
Byzantine-Robust Federated Linear Bandits. CDC 2022: 5206-5213 - [c190]Arnab Sarker, Natalie Northrup, Ali Jadbabaie:
Generalizing Homophily to Simplicial Complexes. COMPLEX NETWORKS (2) 2022: 311-323 - [c189]Xinyi Wu, Arnab Sarker, Ali Jadbabaie:
Link Partitioning on Simplicial Complexes Using Higher-Order Laplacians. ICDM 2022: 1239-1244 - [c188]Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie:
On Convergence of Gradient Descent Ascent: A Tight Local Analysis. ICML 2022: 12717-12740 - [c187]Jingzhao Zhang, Haochuan Li, Suvrit Sra, Ali Jadbabaie:
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective. ICML 2022: 26330-26346 - [c186]Jingzhao Zhang, Hongzhou Lin, Subhro Das, Suvrit Sra, Ali Jadbabaie:
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity. ICML 2022: 26347-26361 - [c185]Horia Mania, Ali Jadbabaie, Devavrat Shah, Suvrit Sra:
Time Varying Regression with Hidden Linear Dynamics. L4DC 2022: 858-869 - [i110]Ali Jadbabaie, Anuran Makur, Devavrat Shah:
Federated Optimization of Smooth Loss Functions. CoRR abs/2201.01954 (2022) - [i109]Arnab Sarker, Ali Jadbabaie, Devavrat Shah:
Unifying Epidemic Models with Mixtures. CoRR abs/2201.04960 (2022) - [i108]Ali Jadbabaie, Arnab Sarker, Devavrat Shah:
Current Implicit Policies May Not Eradicate COVID-19. CoRR abs/2203.15916 (2022) - [i107]Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian:
Byzantine-Robust Federated Linear Bandits. CoRR abs/2204.01155 (2022) - [i106]Farzan Farnia, Amirhossein Reisizadeh, Ramtin Pedarsani, Ali Jadbabaie:
An Optimal Transport Approach to Personalized Federated Learning. CoRR abs/2206.02468 (2022) - [i105]Romain Cosson, Ali Jadbabaie, Anuran Makur, Amirhossein Reisizadeh, Devavrat Shah:
Gradient Descent for Low-Rank Functions. CoRR abs/2206.08257 (2022) - [i104]Serban Sabau, Andrei Sperila, Cristian Oara, Ali Jadbabaie:
Sparse Representations of Dynamical Networks: A Coprime Factorization Approach. CoRR abs/2206.09945 (2022) - [i103]Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie:
On Convergence of Gradient Descent Ascent: A Tight Local Analysis. CoRR abs/2207.00957 (2022) - [i102]Arnab Sarker, Natalie Northrup, Ali Jadbabaie:
Generalizing Homophily to Simplicial Complexes. CoRR abs/2207.11335 (2022) - [i101]Xinyi Wu, Arnab Sarker, Ali Jadbabaie:
Link Partitioning on Simplicial Complexes Using Higher-Order Laplacians. CoRR abs/2210.01849 (2022) - [i100]Kwangjun Ahn, Zakaria Mhammedi, Horia Mania, Zhang-Wei Hong, Ali Jadbabaie:
Model Predictive Control via On-Policy Imitation Learning. CoRR abs/2210.09206 (2022) - [i99]Xinyi Wu, Zhengdao Chen, William Wang, Ali Jadbabaie:
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks. CoRR abs/2212.10701 (2022) - 2021
- [j62]Jan Hazla, Ali Jadbabaie, Elchanan Mossel, M. Amin Rahimian:
Bayesian Decision Making in Groups is Hard. Oper. Res. 69(2): 632-654 (2021) - [j61]Vasileios Tzoumas, Luca Carlone, George J. Pappas, Ali Jadbabaie:
LQG Control and Sensing Co-Design. IEEE Trans. Autom. Control. 66(4): 1468-1483 (2021) - [j60]Milad Siami, Alexander Olshevsky, Ali Jadbabaie:
Deterministic and Randomized Actuator Scheduling With Guaranteed Performance Bounds. IEEE Trans. Autom. Control. 66(4): 1686-1701 (2021) - [j59]Amir Ajorlou, Ali Jadbabaie:
Local Optimality of Almost Piecewise-Linear Quantizers for Witsenhausen's Problem. IEEE Trans. Autom. Control. 66(7): 3152-3168 (2021) - [j58]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: 392-405 (2021) - [c184]Juncal Arbelaiz, Bassam Bamieh, Anette E. Hosoi, Ali Jadbabaie:
Optimal structured controllers for spatially invariant systems: a convex reformulation. CDC 2021: 3374-3380 - [c183]James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
Toward Active Sequential Hypothesis Testing with Uncertain Models. CDC 2021: 3709-3716 - [c182]Chin-Chia Hsu, Amir Ajorlou, Ali Jadbabaie:
Persuasion, News Sharing, and Cascades on Social Networks. CDC 2021: 4970-4975 - [c181]Chulhee Yun, Suvrit Sra, Ali Jadbabaie:
Open Problem: Can Single-Shuffle SGD be Better than Reshuffling SGD and GD? COLT 2021: 4653-4658 - [c180]Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger:
Preface. L4DC 2021: 1-5 - [c179]Haochuan Li, Yi Tian, Jingzhao Zhang, Ali Jadbabaie:
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization. NeurIPS 2021: 1792-1804 - [e2]Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger:
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, L4DC 2021, 7-8 June 2021, Virtual Event, Switzerland. Proceedings of Machine Learning Research 144, PMLR 2021 [contents] - [i98]Chulhee Yun, Suvrit Sra, Ali Jadbabaie:
Can Single-Shuffle SGD be Better than Reshuffling SGD and GD? CoRR abs/2103.07079 (2021) - [i97]Haochuan Li, Yi Tian, Jingzhao Zhang, Ali Jadbabaie:
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization. CoRR abs/2104.08708 (2021) - [i96]Ali Jadbabaie, Anuran Makur, Elchanan Mossel, Rabih Salhab:
Opinion Dynamics under Social Pressure. CoRR abs/2104.11172 (2021) - [i95]Daniel Halpern, Joseph Y. Halpern, Ali Jadbabaie, Elchanan Mossel, Ariel D. Procaccia, Manon Revel:
In Defense of Fluid Democracy. CoRR abs/2107.11868 (2021) - [i94]Arnab Sarker, Jean-Baptiste Seby, Austin R. Benson, Ali Jadbabaie:
Higher Order Information Identifies Tie Strength. CoRR abs/2108.02091 (2021) - [i93]Jingzhao Zhang, Haochuan Li, Suvrit Sra, Ali Jadbabaie:
On Convergence of Training Loss Without Reaching Stationary Points. CoRR abs/2110.06256 (2021) - [i92]Serban Sabau, Andrei Sperila, Cristian Oara, Ali Jadbabaie:
Network Realization Functions for Optimal Distributed Control. CoRR abs/2112.09093 (2021) - 2020
- [j57]Milad Siami, Ali Jadbabaie:
A separation theorem for joint sensor and actuator scheduling with guaranteed performance bounds. Autom. 119: 109054 (2020) - [j56]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): 353-391 (2020) - [j55]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): 1182-1197 (2020) - [j54]Paolo Bertolotti, Ali Jadbabaie, Fotini Christia:
Tests for Network Cascades via Branching Processes. IEEE Trans. Netw. Sci. Eng. 7(4): 2693-2701 (2020) - [j53]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: 300-315 (2020) - [j52]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: 436-451 (2020) - [j51]James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
Non-Bayesian Social Learning With Uncertain Models. IEEE Trans. Signal Process. 68: 4178-4193 (2020) - [c178]Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani:
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. AISTATS 2020: 2021-2031 - [c177]James Zachary Hare, Cesar A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
Non-Bayesian Social Learning with Gaussian Uncertain Models. ACC 2020: 4484-4490 - [c176]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: 622-627 - [c175]Rabih Salhab, Amir Ajorlou, Ali Jadbabaie:
Social Learning with Sparse Belief Samples. CDC 2020: 1792-1797 - [c174]Chin-Chia Hsu, Amir Ajorlou, Muhamet Yildiz, Ali Jadbabaie:
Information Disclosure and Network Formation in News Subscription Services. CDC 2020: 5586-5591 - [c173]Rabih Salhab, Amir Ajorlou, Ali Jadbabaie, Josh Tenenbaum:
Social Learning with Sparse Belief Samples. CogSci 2020 - [c172]James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
Communication Constrained Learning with Uncertain Models. ICASSP 2020: 8609-8613 - [c171]Jingzhao Zhang, Tianxing He, Suvrit Sra, Ali Jadbabaie:
Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity. ICLR 2020 - [c170]Jingzhao Zhang, Hongzhou Lin, Stefanie Jegelka, Suvrit Sra, Ali Jadbabaie:
Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions. ICML 2020: 11173-11182 - [c169]Ali Jadbabaie, Anuran Makur, Devavrat Shah:
Estimation of Skill Distribution from a Tournament. NeurIPS 2020 - [c168]Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani, Ali Jadbabaie:
Robust Federated Learning: The Case of Affine Distribution Shifts. NeurIPS 2020 - [e1]Alexandre M. Bayen, Ali Jadbabaie, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger:
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, L4DC 2020, Online Event, Berkeley, CA, USA, 11-12 June 2020. Proceedings of Machine Learning Research 120, PMLR 2020 [contents] - [i91]Jingzhao Zhang, Hongzhou Lin, Suvrit Sra, Ali Jadbabaie:
On Complexity of Finding Stationary Points of Nonsmooth Nonconvex Functions. CoRR abs/2002.04130 (2020) - [i90]Milad Siami, Ali Jadbabaie:
A Separation Theorem for Joint Sensor and Actuator Scheduling with Guaranteed Performance Bounds. CoRR abs/2005.03143 (2020) - [i89]Jingzhao Zhang, Hongzhou Lin, Subhro Das, Suvrit Sra, Ali Jadbabaie:
Stochastic Optimization with Non-stationary Noise. CoRR abs/2006.04429 (2020) - [i88]Ali Jadbabaie, Anuran Makur, Devavrat Shah:
Estimation of Skill Distributions. CoRR abs/2006.08189 (2020) - [i87]Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani, Ali Jadbabaie:
Robust Federated Learning: The Case of Affine Distribution Shifts. CoRR abs/2006.08907 (2020) - [i86]Farzan Farnia, William Wang, Subhro Das, Ali Jadbabaie:
GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models. CoRR abs/2006.10293 (2020) - [i85]César A. Uribe, Ali Jadbabaie:
A Distributed Cubic-Regularized Newton Method for Smooth Convex Optimization over Networks. CoRR abs/2007.03562 (2020) - [i84]Ali Jadbabaie, Anuran Makur, Devavrat Shah:
Gradient-Based Empirical Risk Minimization using Local Polynomial Regression. CoRR abs/2011.02522 (2020) - [i83]James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
A General Framework for Distributed Inference with Uncertain Models. CoRR abs/2011.10669 (2020)
2010 – 2019
- 2019
- [j50]Ali Jadbabaie, Ali Kakhbod:
Optimal contracting in networks. J. Econ. Theory 183: 1094-1153 (2019) - [j49]Ali Jadbabaie, Alexander Olshevsky, George J. Pappas, Vasileios Tzoumas:
Minimal Reachability is Hard To Approximate. IEEE Trans. Autom. Control. 64(2): 783-789 (2019) - [j48]Ali Jadbabaie, Alex Olshevsky:
Scaling Laws for Consensus Protocols Subject to Noise. IEEE Trans. Autom. Control. 64(4): 1389-1402 (2019) - [j47]Rasul Tutunov, Haitham Bou-Ammar, Ali Jadbabaie:
Distributed Newton Method for Large-Scale Consensus Optimization. IEEE Trans. Autom. Control. 64(10): 3983-3994 (2019) - [c167]Aryan Mokhtari, Asuman E. Ozdaglar, Ali Jadbabaie:
Efficient Nonconvex Empirical Risk Minimization via Adaptive Sample Size Methods. AISTATS 2019: 2485-2494 - [c166]Jingzhao Zhang, César A. Uribe, Aryan Mokhtari, Ali Jadbabaie:
Achieving Acceleration in Distributed Optimization via Direct Discretization of the Heavy-Ball ODE. ACC 2019: 3408-3413 - [c165]César A. Uribe, Ali Jadbabaie:
On Increasing Self-Confidence in Non-Bayesian Social Learning over Time-Varying Directed Graphs. ACC 2019: 3532-3537 - [c164]Milad Siami, Ali Jadbabaie:
A Separation Principle for Joint Sensor and Actuator Scheduling with Guaranteed Performance Bounds. CDC 2019: 734-739 - [c163]Jingzhao Zhang, Suvrit Sra, Ali Jadbabaie:
Acceleration in First Order Quasi-strongly Convex Optimization by ODE Discretization. CDC 2019: 1501-1506 - [c162]César A. Uribe, James Zachary Hare, Lance M. Kaplan, Ali Jadbabaie:
Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed Graphs. CDC 2019: 3635-3640 - [c161]Amir Ajorlou, Ali Jadbabaie:
A Class of Near-Optimal Local Minima for Witsenhausen's Problem. CDC 2019: 5014-5019 - [c160]Jan Hazla, Ali Jadbabaie, Elchanan Mossel, M. Amin Rahimian:
Reasoning in Bayesian Opinion Exchange Networks Is PSPACE-Hard. COLT 2019: 1614-1648 - [c159]James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
On Malicious Agents in Non-Bayesian Social Learning with Uncertain Models. FUSION 2019: 1-8 - [c158]Chulhee Yun, Suvrit Sra, Ali Jadbabaie:
Efficiently testing local optimality and escaping saddles for ReLU networks. ICLR (Poster) 2019 - [c157]