Nilesh Tripuraneni
11 papers · 2015–2022 · 3 conferences · across top CS/AI conferences
Achievements
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Keyword Pioneer
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(11)
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(6)
Conferences
ICML (5)
NIPS (4)
COLT (2)
Top co-authors
Keywords
sample complexity
(2)
stochastic gradient
(2)
transfer learning
(2)
representation learning
(2)
distribution shift
(2)
nonparametric bayesian
(1)
ridge regression
(1)
nonconvex optimization
(1)
bayesian inference
(1)
principal component analysis
(1)
stochastic gradient descent
(1)
robust statistics
(1)
partition function
(1)
mean estimation
(1)
markov chain monte carlo
(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
Provable Meta-Learning of Linear Representations
ICML 2021
Overparameterization Improves Robustness to Covariate Shift in High Dimensions
NIPS 2021
Single Point Transductive Prediction
ICML 2020
On the Theory of Transfer Learning: The Importance of Task Diversity
NIPS 2020
Rao-Blackwellized Stochastic Gradients for Discrete Distributions
ICML 2019
Stochastic Cubic Regularization for Fast Nonconvex Optimization
NIPS 2018
Averaging Stochastic Gradient Descent on Riemannian Manifolds
COLT 2018
Magnetic Hamiltonian Monte Carlo
ICML 2017
Lost Relatives of the Gumbel Trick
ICML 2017
Particle Gibbs for Infinite Hidden Markov Models
NIPS 2015