Rahul Kidambi

Identifiers

• name variant Rahul Kidambi 0.60 · backfill

Papers (9)

1. On the insufficiency of existing momentum schemes for Stochastic Optimization cs.LG · 2018 · author #1
2. Leverage Score Sampling for Faster Accelerated Regression and ERM stat.ML · 2017 · author #3
3. Efficient Estimation of Generalization Error and Bias-Variance Components of Ensembles cs.LG · 2017 · author #6
4. A Markov Chain Theory Approach to Characterizing the Minimax Optimality of Stochastic Gradient Descent (for Least Squares) stat.ML · 2017 · author #3
5. Accelerating Stochastic Gradient Descent For Least Squares Regression stat.ML · 2017 · author #3
6. Parallelizing Stochastic Gradient Descent for Least Squares Regression: mini-batching, averaging, and model misspecification stat.ML · 2016 · author #3
7. Submodular Hamming Metrics cs.DS · 2015 · author #4
8. A Quantitative Evaluation Framework for Missing Value Imputation Algorithms cs.LG · 2013 · author #2
9. A Structured Prediction Approach for Missing Value Imputation cs.LG · 2013 · author #1

Mentions

• 1511.02163 #4 · backfill · confidence 0.70 Rahul Kidambi
• 1311.2276 #2 · backfill · confidence 0.70 Rahul Kidambi
• 1311.2137 #1 · backfill · confidence 0.70 Rahul Kidambi

Frequent Coauthors

• Praneeth Netrapalli 5 shared papers
• Aaron Sidford 4 shared papers
• Prateek Jain 4 shared papers
• Sham M. Kakade 4 shared papers
• S. Sathiya Keerthi 2 shared papers
• Sundararajan Sellamanickam 2 shared papers
• Vinod Nair 2 shared papers
• Bethany Lusch 1 shared papers
• Dhruv Mahajan 1 shared papers
• Jeff Bilmes 1 shared papers
• Jennifer Gillenwater 1 shared papers
• Johannes Gehrke 1 shared papers
• Naman Agarwal 1 shared papers
• Rishabh Iyer 1 shared papers
• Sellamanickam Sundararajan 1 shared papers
• Sham Kakade 1 shared papers
• Shravan Narayanamurthy 1 shared papers
• S Sathiya Keerthi 1 shared papers
• Venkata Krishna Pillutla 1 shared papers
• Vijay Narayanan 1 shared papers