Nilesh Tripuraneni
11 papers · 2015–2022 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (31)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
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Keyword Collector
(59)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory · Machine Learning
(8)
Artificial Intelligence
(6)
Mathematics & Optimization
(5)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Core Methods
(3)
Learning Paradigms
(3)
Learning Types
(3)
Mathematics
(3)
Optimization
(3)
Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Application Areas
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Probability
(1)
Keywords
sample complexity
(2)
distribution shift
(2)
markov chain monte carlo
(2)
representation learning
(2)
transfer learning
(2)
stochastic gradient
(2)
non-convex optimization
(1)
ridge regression
(1)
nonparametric bayesian
(1)
bayesian inference
(1)
principal component analysis
(1)
robust statistics
(1)
stochastic gradient descent
(1)
mean estimation
(1)
partition function
(1)
feature representation
(1)
domain adaptation
(1)
covariate shift
(1)
sequential monte carlo
(1)
learning theory
(1)
Papers
Optimal Mean Estimation without a Variance
COLT 2022
Overparameterization Improves Robustness to Covariate Shift in High Dimensions
NeurIPS 2021
Provable Meta-Learning of Linear Representations
ICML 2021
On the Theory of Transfer Learning: The Importance of Task Diversity
NeurIPS 2020
Single Point Transductive Prediction
ICML 2020
Rao-Blackwellized Stochastic Gradients for Discrete Distributions
ICML 2019
Averaging Stochastic Gradient Descent on Riemannian Manifolds
COLT 2018
Stochastic Cubic Regularization for Fast Nonconvex Optimization
NeurIPS 2018
Lost Relatives of the Gumbel Trick
ICML 2017
Magnetic Hamiltonian Monte Carlo
ICML 2017
Particle Gibbs for Infinite Hidden Markov Models
NeurIPS 2015