Santosh Vempala
18 papers · 2002–2024 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (44) π Academic Marathon Β· Ultra π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Keyword Trendsetter Combo
(4)
π§
Keyword Pioneer
π
Trend Setter
π₯
Unstoppable Β· Bronze
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Renaissance Researcher
(5)
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Century Club Β· Bronze
ποΈ
Keyword Collector
(111)
Top co-authors
Research topics
Machine Learning
(14)
Mathematics & Optimization
(10)
Core Methods
(9)
Optimization & Theory Β· Machine Learning
(9)
Optimization
(7)
Mathematics
(6)
Artificial Intelligence
(5)
Deep Learning
(5)
Learning Types
(4)
Optimization & Theory Β· Deep Learning
(3)
Computer Science
(2)
Interdisciplinary
(2)
Application Areas
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Keywords
statistical query
(3)
principal component analysis
(3)
unsupervised learning
(2)
learning theory
(2)
dimensionality reduction
(2)
low-rank approximation
(2)
lifelong learning
(2)
representation learning
(2)
neural network
(2)
riemannian hamiltonian monte carlo
(2)
spectral method
(2)
gradient descent
(2)
language modeling
(1)
kl divergence
(1)
continual learning
(1)
neural computation
(1)
contrastive learning
(1)
domain adaptation
(1)
tensor decomposition
(1)
transfer learning
(1)
Papers
Computation with Sequences of Assemblies in a Model of the Brain
ALT 2024
Condition-number-independent Convergence Rate of Riemannian Hamiltonian Monte Carlo with Numerical Integrators
COLT 2023
Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time
NeurIPS 2023
How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization
AISTATS 2022
Provable Lifelong Learning of Representations
AISTATS 2022
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space
NeurIPS 2022
Gradient Descent for One-Hidden-Layer Neural Networks: Polynomial Convergence and SQ Lower Bounds
COLT 2019
Multi-Criteria Dimensionality Reduction with Applications to Fairness
NeurIPS 2019
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices
NeurIPS 2019
Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons
NeurIPS 2018
The Price of Fair PCA: One Extra dimension
NeurIPS 2018
On the Complexity of Learning Neural Networks
NeurIPS 2017
The Hidden Hubs Problem
COLT 2017
Cortical Computation via Iterative Constructions
COLT 2016
Efficient Representations for Lifelong Learning and Autoencoding
COLT 2015
Subsampled Power Iteration: a Unified Algorithm for Block Models and Planted CSP's
NeurIPS 2015
Principal Component Analysis and Higher Correlations for Distributed Data
COLT 2014
Efficient Algorithms for Universal Portfolios
JMLR 2002