Mudigere, Dheevatsa

5 publications

AAAI 2020 ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract) Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul

AISTATS 2020 Efficient Distributed Hessian Free Algorithm for Large-Scale Empirical Risk Minimization via Accumulating Sample Strategy Majid Jahani, Xi He, Chenxin Ma, Aryan Mokhtari, Dheevatsa Mudigere, Alejandro Ribeiro, Martin Takac

ICML 2018 A Progressive Batching L-BFGS Method for Machine Learning Raghu Bollapragada, Jorge Nocedal, Dheevatsa Mudigere, Hao-Jun Shi, Ping Tak Peter Tang

ICLR 2018 Mixed Precision Training of Convolutional Neural Networks Using Integer Operations Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere, Dhiraj Kalamkar, Sasikanth Avancha, Kunal Banerjee, Srinivas Sridharan, Karthik Vaidyanathan, Bharat Kaul, Evangelos Georganas, Alexander Heinecke, Pradeep Dubey, Jesus Corbal, Nikita Shustrov, Roma Dubtsov, Evarist Fomenko, Vadim Pirogov

ICLR 2017 On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal, Mikhail Smelyanskiy, Ping Tak Peter Tang