Kar, Soummya

10 publications

ICLR 2026 Decentralized Nonconvex Optimization Under Heavy-Tailed Noise: Normalization and Optimal Convergence Shuhua Yu, Dusan Jakovetic, Soummya Kar

ICLR 2026 MAD-Logic: Multi-Agent Debate Enhances Symbolic Translation and Reasoning Haocheng Yang, Fengxiang Cheng, Tianjun Yao, Mengyue Yang, Jiajun Chai, Xiaohan Wang, Guojun Yin, Wei Lin, Soummya Kar, Fenrong Liu, Haoxuan Li, Yisen Wang

ICLR 2026 Test-Time Scaling in Diffusion LLMs via Hidden Semi-Autoregressive Experts Jihoon Lee, Hoyeon Moon, Kevin Zhai, Arun Kumar Chithanar, Anit Kumar Sahu, Soummya Kar, Chul Lee, Souradip Chakraborty, Amrit Singh Bedi

AISTATS 2025 High-Probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent Under Heavy-Tailed Noise Aleksandar Armacki, Shuhua Yu, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar

AISTATS 2023 Large Deviations Rates for Stochastic Gradient Descent with Strongly Convex Functions Dragana Bajovic, Dusan Jakovetic, Soummya Kar

JMLR 2022 Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima Brian Swenson, Ryan Murray, H. Vincent Poor, Soummya Kar

ICML 2022 Gradient Based Clustering Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar

ICML 2021 A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization Ran Xin, Usman Khan, Soummya Kar

AISTATS 2019 Towards Gradient Free and Projection Free Stochastic Optimization Anit Kumar Sahu, Manzil Zaheer, Soummya Kar

NeurIPS 2017 Coded Distributed Computing for Inverse Problems Yaoqing Yang, Pulkit Grover, Soummya Kar