Improving classification quality for the task of finding intrinsic plagiarism

Igor'Olegovich Molybog , Anastasiya Petrovna Motrenko , Vadim Strijov
Informatika i Ee Primeneniya [Informatics and its Applications] 11 ( 3) 60 -72

2017
Analysis of heterogeneity of transport flows

Igor Molybog , Yury Chehovich
Advances in systems science and applications 17 ( 3) 9 -21

2017
When Does MAML Objective Have Benign Landscape

Javad Lavaei , Igor Molybog
arXiv: Learning

2
2020
Conic Optimization for Robust Quadratic Regression: Deterministic Bounds and Statistical Analysis

Igor Molybog , Ramtin Madani , Javad Lavaei
2018 IEEE Conference on Decision and Control (CDC) 841 -848

2
2018
On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem

Igor Molybog , Javad Lavaei
national conference on artificial intelligence 33 ( 01) 1568 -1575

2019
Towards Robust and Scalable Power System State Estimation

Ming Jin , Igor Molybog , Reza Mohammadi-Ghazi , Javad Lavaei
conference on decision and control 3245 -3252

1
2019
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points

Ziye Ma , Igor Molybog , Javad Lavaei , Somayeh Sojoudi
arXiv preprint arXiv:2302.07828

2023
Effective long-context scaling of foundation models

Wenhan Xiong , Jingyu Liu , Igor Molybog , Hejia Zhang
arXiv preprint arXiv:2309.16039

57
2023
A theory on adam instability in large-scale machine learning

Igor Molybog , Peter Albert , Moya Chen , Zachary DeVito
arXiv preprint arXiv:2304.09871

13
2023
Llama 2: Open foundation and fine-tuned chat models

Hugo Touvron , Louis Martin , Kevin Stone , Peter Albert
arXiv preprint arXiv:2307.09288

5,146
2023
Llama 2: Open foundation and fine-tuned chat models. arXiv 2023

Hugo Touvron , Louis Martin , Kevin Stone , Peter Albert
arXiv preprint arXiv:2307.09288

45
Llama 2: Open foundation and fine-tuned chat models. arXiv

Hugo Touvron , Louis Martin , Kevin Stone , Peter Albert
arXiv preprint arXiv:2307.09288

42
2023
Conic Optimization for Robust Quadratic Regression

Igor Molybog , Ramtin Madani , Javad Lavaei

Scalable and robust state estimation from abundant but untrusted data

Ming Jin , Igor Molybog , Reza Mohammadi-Ghazi , Javad Lavaei
IEEE Transactions on Smart Grid 11 ( 3) 1880 -1894

7
2019
Global convergence of MAML for LQR

Igor Molybog , Javad Lavaei
arXiv preprint arXiv:2006.00453

6
2020
No spurious solutions in non-convex matrix sensing: Structure compensates for isometry

Igor Molybog , Somayeh Sojoudi , Javad Lavaei
2021 American Control Conference (ACC) 2587 -2594

3
2021
Conic Optimization for Quadratic Regression Under Sparse Noise

Igor Molybog , Ramtin Madani , Javad Lavaei

3
2019
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding

Honggen Zhang , June Zhang , Igor Molybog
2116 -2127

2024