Shah, Vatsal

1. Choosing the Sample with Lowest Loss makes SGD Robust
   2020/01/10 by Vatsal Shah, Shah, Vatsal, Xiaoxia Wu +3 · 6 citations
   Mathematics · #Advanced Statistical Methods and Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
2. Robust Estimation of Tree Structured Ising Models
   2020/06/10 by Ashish Katiyar, Vatsal Shah, Katiyar, Ashish +3 · 3 citations
   Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference
3. Negative sampling in semi-supervised learning
   2019/11/12 by John Chen, Chen, John, Vatsal Shah +3 · 1 citation
   Computer Science · Medicine · #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
4. Minimum weight norm models do not always generalize well for over-parameterized problems
   2018/11/16 by Vatsal Shah, Anastasios Kyrillidis, Shah, Vatsal +3 · 3 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Stochastic Gradient Optimization Techniques