Igor Molybog

22 papers A* 3C 1Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Speculative Decoding Scaling Laws (SDSL): Throughput Optimization Made Simple.
CoRR
Amirhossein Bozorgkhoo, Igor Molybog
2026 J jnl
What Matters in Data Curation for Multimodal Reasoning? Insights from the DCVLR Challenge.
CoRR
Yosub Shin, Michael Buriek, Boris Sobolev, Pavel Bushuyeu, Vikas Kumar, Haoyang Xu, Samuel Watson, Igor Molybog
2026 J jnl
m2sv: A Scalable Benchmark for Map-to-Street-View Spatial Reasoning.
CoRR
Yosub Shin, Michael Buriek, Igor Molybog
2025 J jnl
Beyond Audio and Pose: A General-Purpose Framework for Video Synchronization.
CoRR
Yosub Shin, Igor Molybog
2025 J jnl
SODBench: A Large Language Model Approach to Documenting Spreadsheet Operations.
CoRR
Amila Indika, Igor Molybog
2024 — conf
Effective Long-Context Scaling of Foundation Models.
NAACL-HLT
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, Yashar Mehdad, Sharan Narang, Kshitiz Malik, Angela Fan, Shruti Bhosale, Sergey Edunov, Mike Lewis, Sinong Wang, Hao Ma
2024 A* conf
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding.
WWW
Honggen Zhang, June Zhang, Igor Molybog
2024 J jnl
REAL: Response Embedding-based Alignment for LLMs.
CoRR
Honggen Zhang, Igor Molybog, June Zhang, Xufeng Zhao
2023 J jnl
A Theory on Adam Instability in Large-Scale Machine Learning.
CoRR
Igor Molybog, Peter Albert, Moya Chen, Zachary DeVito, David Esiobu, Naman Goyal, Punit Singh Koura, Sharan Narang, Andrew Poulton, Ruan Silva, Binh Tang, Diana Liskovich, Puxin Xu, Yuchen Zhang, Melanie Kambadur, Stephen Roller, Susan Zhang
2023 J jnl
Effective Long-Context Scaling of Foundation Models.
CoRR
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, Yashar Mehdad, Sharan Narang, Kshitiz Malik, Angela Fan, Shruti Bhosale, Sergey Edunov, Mike Lewis, Sinong Wang, Hao Ma
2023 J jnl
Llama 2: Open Foundation and Fine-Tuned Chat Models.
CoRR
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom
2023 A* conf
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points.
ICML
Ziye Ma, Igor Molybog, Javad Lavaei, Somayeh Sojoudi
2023 J jnl
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points.
CoRR
Ziye Ma, Igor Molybog, Javad Lavaei, Somayeh Sojoudi
2022 J jnl
Role of sparsity and structure in the optimization landscape of non-convex matrix sensing.
Math. Program.
Igor Molybog, Somayeh Sojoudi, Javad Lavaei
2021 C conf
No Spurious Solutions in Non-convex Matrix Sensing: Structure Compensates for Isometry.
ACC
Igor Molybog, Somayeh Sojoudi, Javad Lavaei
2021 — conf
When Does MAML Objective Have Benign Landscape?
CCTA
Igor Molybog, Javad Lavaei
2020 J jnl
Conic Optimization for Quadratic Regression Under Sparse Noise.
J. Mach. Learn. Res.
Igor Molybog, Ramtin Madani, Javad Lavaei
2020 J jnl
Global Convergence of MAML for LQR.
CoRR
Igor Molybog, Javad Lavaei
2020 J jnl
Scalable and Robust State Estimation From Abundant But Untrusted Data.
IEEE Trans. Smart Grid
Ming Jin, Igor Molybog, Reza Mohammadi-Ghazi, Javad Lavaei
2019 A* conf
On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem.
AAAI
Igor Molybog, Javad Lavaei
2019 — conf
Towards Robust and Scalable Power System State Estimation.
CDC
Ming Jin, Igor Molybog, Reza Mohammadi-Ghazi, Javad Lavaei
2018 — conf
Conic Optimization for Robust Quadratic Regression: Deterministic Bounds and Statistical Analysis.
CDC
Igor Molybog, Ramtin Madani, Javad Lavaei