Mehta, Nishant A.

1. Fast Rates for General Unbounded Loss Functions: from ERM to Generalized Bayes
   2016/05/01 by Peter Grünwald, Nishant A. Mehta, Grünwald, Peter D. +1 · 4 citations
   Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference
2. A Tight Excess Risk Bound via a Unified\n PAC-Bayesian-Rademacher-Shtarkov-MDL Complexity
   2017/10/20 by Peter Grünwald, Grünwald, Peter D., Nishant A. Mehta +1 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
3. Fast rates with high probability in exp-concave statistical learning
   2016/05/04 by Nishant A. Mehta, Mehta, Nishant A. · 2 citations
   Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques
4. From Stochastic Mixability to Fast Rates
   2014/06/14 by Nishant A. Mehta, Robert C. Williamson, Mehta, Nishant A. +1 · 1 citation
   Computer Science · Engineering · Mathematics · #Control Systems and Identification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference
5. Multi-Observation Regression
   2018/02/27 by Frongillo, Rafael, Mehta, Nishant A., Morgan, Tom +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity
   2024/10/01 by Quan Nguyen, Nishant A. Mehta, Nguyen, Quan +3 · 1 citation
   Decision Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Risk and Portfolio Optimization