Conic Optimization for Robust Quadratic Regression: Deterministic Bounds and Statistical Analysis. - Igor Molybog; Ramtin Madani; Javad Lavaei (CDC, 2018)

On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem. - Igor Molybog; Javad Lavaei (AAAI, 2019)

Towards Robust and Scalable Power System State Estimation. - Ming Jin 002; Igor Molybog; Reza Mohammadi-Ghazi; Javad Lavaei (CDC, 2019)

Global Convergence of MAML for LQR. - Igor Molybog; Javad Lavaei (CoRR, 2020)

Conic Optimization for Quadratic Regression Under Sparse Noise. - Igor Molybog; Ramtin Madani; Javad Lavaei (J. Mach. Learn. Res., 2020)

Scalable and Robust State Estimation From Abundant But Untrusted Data. - Ming Jin 002; Igor Molybog; Reza Mohammadi-Ghazi; Javad Lavaei (IEEE Trans. Smart Grid, 2020)

No Spurious Solutions in Non-convex Matrix Sensing: Structure Compensates for Isometry. - Igor Molybog; Somayeh Sojoudi; Javad Lavaei (ACC, 2021)

When Does MAML Objective Have Benign Landscape? - Igor Molybog; Javad Lavaei (CCTA, 2021)

Role of sparsity and structure in the optimization landscape of non-convex matrix sensing. - Igor Molybog; Somayeh Sojoudi; Javad Lavaei (Math. Program., 2022)

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 (ICML, 2023)

A Theory on Adam Instability in Large-Scale Machine Learning. - Igor Molybog; Peter Albert; Moya Chen; Zachary DeVito; David Esiobu; Naman Goyal 001; Punit Singh Koura; Sharan Narang; Andrew Poulton; Ruan Silva; Binh Tang; Diana Liskovich; et al. (CoRR, 2023)

Llama 2: Open Foundation and Fine-Tuned Chat Models. - Hugo Touvron; Louis Martin; Kevin Stone; Peter Albert; Amjad Almahairi; Yasmine Babaei; Nikolay Bashlykov; Soumya Batra; Prajjwal Bhargava; Shruti Bhosale; Dan Bikel; Lukas Blecher; et al. (CoRR, 2023)

Effective Long-Context Scaling of Foundation Models. - Wenhan Xiong; Jingyu Liu; Igor Molybog; Hejia Zhang; Prajjwal Bhargava; Rui Hou; Louis Martin; Rashi Rungta; Karthik Abinav Sankararaman; Barlas Oguz; Madian Khabsa; Han Fang; et al. (NAACL-HLT, 2024)

HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding. - Honggen Zhang; June Zhang; Igor Molybog (WWW, 2024)

REAL: Response Embedding-based Alignment for LLMs. - Honggen Zhang; Igor Molybog; June Zhang; Xufeng Zhao 002 (CoRR, 2024)

Beyond Audio and Pose: A General-Purpose Framework for Video Synchronization. - Yosub Shin; Igor Molybog (CoRR, 2025)