Sobhan Miryoosefi

According to our database, Sobhan Miryoosefi authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

On the Inductive Bias of Stacking Towards Improving Reasoning.

Nikunj Saunshi, Stefani Karp, Shankar Krishnan, Sobhan Miryoosefi, Sashank J. Reddi, Sanjiv Kumar

CoRR, 2024

Landscape-Aware Growing: The Power of a Little LAG.

Stefani Karp, Nikunj Saunshi, Sobhan Miryoosefi, Sashank J. Reddi, Sanjiv Kumar

CoRR, 2024

Efficient Stagewise Pretraining via Progressive Subnetworks.

Abhishek Panigrahi, Nikunj Saunshi, Kaifeng Lyu, Sobhan Miryoosefi, Sashank J. Reddi, Satyen Kale, Sanjiv Kumar

CoRR, 2024

2023

ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent.

Renat Aksitov, Sobhan Miryoosefi, Zonglin Li, Daliang Li, Sheila Babayan, Kavya Kopparapu, Zachary Fisher, Ruiqi Guo, Sushant Prakash, Pranesh Srinivasan, Manzil Zaheer, Felix X. Yu, Sanjiv Kumar

CoRR, 2023

Efficient Training of Language Models using Few-Shot Learning.

Sashank J. Reddi, Sobhan Miryoosefi, Stefani Karp, Shankar Krishnan, Satyen Kale, Seungyeon Kim, Sanjiv Kumar

Proceedings of the International Conference on Machine Learning, 2023

2022

Provable Reinforcement Learning with Constraints and Function Approximation

Sobhan Miryoosefi

PhD thesis, 2022

A Simple Reward-free Approach to Constrained Reinforcement Learning.

Sobhan Miryoosefi, Chi Jin

Proceedings of the International Conference on Machine Learning, 2022

Provable Reinforcement Learning with a Short-Term Memory.

Yonathan Efroni, Chi Jin, Akshay Krishnamurthy, Sobhan Miryoosefi

Proceedings of the International Conference on Machine Learning, 2022

2021

Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms.

Chi Jin, Qinghua Liu, Sobhan Miryoosefi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Constrained episodic reinforcement learning in concave-convex and knapsack settings.

Kianté Brantley, Miroslav Dudík, Thodoris Lykouris, Sobhan Miryoosefi, Max Simchowitz, Aleksandrs Slivkins, Wen Sun

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Reinforcement Learning with Convex Constraints.

Sobhan Miryoosefi, Kianté Brantley, Hal Daumé III, Miroslav Dudík, Robert E. Schapire

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019