Nilesh Tripuraneni
Google (United States)(US)
Publications by Year
Research Areas
Machine Learning and Algorithms, Statistical Methods and Inference, Gaussian Processes and Bayesian Inference, Domain Adaptation and Few-Shot Learning, Stochastic Gradient Optimization Techniques
Most-Cited Works
- Stochastic Cubic Regularization for Fast Nonconvex Optimization(2018)
- → On the Theory of Transfer Learning: The Importance of Task Diversity(2020)59 cited
- → Provable Meta-Learning of Linear Representations(2020)52 cited
- → Quantitative criticism of literary relationships(2017)51 cited
- → Averaging Stochastic Gradient Descent on Riemannian Manifolds(2018)40 cited
- Evaluating Stream Filtering for Entity Profile Updates for TREC 2013.(2013)
- Magnetic hamiltonian Monte Carlo(2017)
- Rao-Blackwellized Stochastic Gradients for Discrete Distributions(2019)
- Particle Gibbs for Infinite Hidden Markov Models(2015)