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Igor Molybog
Igor Molybog
Assistant Professor, UH Manoa
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Llama 2: Open foundation and fine-tuned chat models
H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ...
arXiv preprint arXiv:2307.09288, 2023
38872023
Effective long-context scaling of foundation models
W Xiong, J Liu, I Molybog, H Zhang, P Bhargava, R Hou, L Martin, ...
arXiv preprint arXiv:2309.16039, 2023
422023
Llama 2: Open foundation and fine-tuned chat models. arXiv 2023
H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ...
arXiv preprint arXiv:2307.09288, 0
35
Llama 2: Open foundation and fine-tuned chat models. arXiv
H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ...
arXiv preprint arXiv:2307.09288, 2023
342023
A theory on adam instability in large-scale machine learning
I Molybog, P Albert, M Chen, Z DeVito, D Esiobu, N Goyal, PS Koura, ...
arXiv preprint arXiv:2304.09871, 2023
112023
Role of sparsity and structure in the optimization landscape of non-convex matrix sensing
I Molybog, S Sojoudi, J Lavaei
Mathematical programming, 1-37, 2022
112022
Towards robust and scalable power system state estimation
M Jin, I Molybog, R Mohammadi-Ghazi, J Lavaei
2019 IEEE 58th Conference on Decision and Control (CDC), 3245-3252, 2019
82019
Conic optimization for robust quadratic regression: Deterministic bounds and statistical analysis
I Molybog, R Madani, J Lavaei
2018 IEEE Conference on Decision and Control (CDC), 841-848, 2018
82018
When does maml objective have benign landscape?
I Molybog, J Lavaei
2021 IEEE Conference on Control Technology and Applications (CCTA), 220-227, 2021
72021
Scalable and robust state estimation from abundant but untrusted data
M Jin, I Molybog, R Mohammadi-Ghazi, J Lavaei
IEEE Transactions on Smart Grid 11 (3), 1880-1894, 2019
72019
Global convergence of MAML for LQR
I Molybog, J Lavaei
arXiv preprint arXiv:2006.00453, 2020
52020
Over-parametrization via lifting for low-rank matrix sensing: Conversion of spurious solutions to strict saddle points
Z Ma, I Molybog, J Lavaei, S Sojoudi
International Conference on Machine Learning, 23373-23387, 2023
32023
No spurious solutions in non-convex matrix sensing: Structure compensates for isometry
I Molybog, S Sojoudi, J Lavaei
2021 American Control Conference (ACC), 2587-2594, 2021
32021
Conic optimization for quadratic regression under sparse noise
I Molybog, R Madani, J Lavaei
Journal of Machine Learning Research 21 (195), 1-36, 2020
32020
The complexity of non-convex and conic optimization problems in data science applications
I Molybog
University of California, Berkeley, 2022
2022
On sampling complexity of the semidefinite affine rank feasibility problem
I Molybog, J Lavaei
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1568-1575, 2019
2019
Analysis of heterogeneity of transport flows
I Molybog, Y Chehovich
Advances in Systems Science and Applications 17 (3), 9-21, 2017
2017
Improving classification quality for the task of finding intrinsic plagiarism
IO Molybog, AP Motrenko, V Strijov
Informatika i Ee Primeneniya [Informatics and its Applications] 11 (3), 60-72, 2017
2017
Conic Optimization for Robust Quadratic Regression
I Molybog, R Madani, J Lavaei
Модификация метода t-SNE для задачи классификации
М Игорь, А Мотренко
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