Parameswaran Raman

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 12

Top Topics

Multinomial Logistic Regression

Variational Inference

Convergence Rate

Top Venues

Publications

Tanmay Gautam, Youngsuk Park, Hao Zhou, Parameswaran Raman, Wooseok Ha
Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models. CoRR (2024)
Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate. CoRR (2024)
Haozheng Fan, Hao Zhou, Guangtai Huang, Parameswaran Raman, Xinwei Fu, Gaurav Gupta, Dhananjay Ram, Yida Wang, Jun Huan
HLAT: High-quality Large Language Model Pre-trained on AWS Trainium. CoRR (2024)
Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate. AISTATS (2024)
Chung-Yiu Yau, Hoi-To Wai, Parameswaran Raman, Soumajyoti Sarkar, Mingyi Hong
: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence. CoRR (2024)
Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher
MADA: Meta-Adaptive Optimizers through hyper-gradient Descent. CoRR (2024)
Bingcong Li, Shuai Zheng, Parameswaran Raman, Anshumali Shrivastava, Georgios B. Giannakis
Contractive error feedback for gradient compression. CoRR (2023)
Parameswaran Raman, S. V. N. Vishwanathan
DS-FACTO: Doubly Separable Factorization Machines. CoRR (2020)
Parameswaran Raman, Sriram Srinivasan, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan
Scaling Multinomial Logistic Regression via Hybrid Parallelism. KDD (2019)
Parameswaran Raman, Jiasen Yang
Optimization on the Surface of the (Hyper)-Sphere. CoRR (2019)
Jiong Zhang, Parameswaran Raman, Shihao Ji, Hsiang-Fu Yu, S. V. N. Vishwanathan, Inderjit S. Dhillon
Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models. AISTATS (2019)
Parameswaran Raman, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan
DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression. CoRR (2016)
Hyokun Yun, Parameswaran Raman, S. V. N. Vishwanathan
Ranking via Robust Binary Classification. NIPS (2014)
Mariheida Cordova-Sanchez, Parameswaran Raman, Luo Si, Jason Fish
Relevancy prediction of micro-blog questions in an educational setting. EDM (2014)
Hyokun Yun, Parameswaran Raman, S. V. N. Vishwanathan
Ranking via Robust Binary Classification and Parallel Parameter Estimation in Large-Scale Data. CoRR (2014)