Santosh Vempala
18 papers · 2002–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (22) π Conference Polyglot (5) π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (43)
π
Interdisciplinary Bridge
π
Academic Marathon
(22)
πΊοΈ
Taxonomy Completionist
(43)
π
Keyword Trendsetter Combo
(4)
π
Trend Setter
π₯
Unstoppable
(6)
π
Century Club
(18)
ποΈ
Keyword Collector
(106)
Conferences
NIPS (8)
COLT (6)
AISTATS (2)
ALT (1)
JMLR (1)
Top co-authors
Keywords
principal component analysis
(3)
unsupervised learning
(2)
statistical query
(2)
learning theory
(2)
low-rank approximation
(2)
representation learning
(2)
neural network
(2)
lifelong learning
(2)
riemannian hamiltonian monte carlo
(2)
gradient descent
(2)
dimensionality reduction
(2)
language modeling
(1)
continual learning
(1)
sample complexity
(1)
kl divergence
(1)
neural computation
(1)
contrastive learning
(1)
feature representation
(1)
domain adaptation
(1)
tensor decomposition
(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
NIPS 2023
Provable Lifelong Learning of Representations
AISTATS 2022
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space
NIPS 2022
How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization
AISTATS 2022
Multi-Criteria Dimensionality Reduction with Applications to Fairness
NIPS 2019
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices
NIPS 2019
Gradient Descent for One-Hidden-Layer Neural Networks: Polynomial Convergence and SQ Lower Bounds
COLT 2019
Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons
NIPS 2018
The Price of Fair PCA: One Extra dimension
NIPS 2018
The Hidden Hubs Problem
COLT 2017
On the Complexity of Learning Neural Networks
NIPS 2017
Cortical Computation via Iterative Constructions
COLT 2016
Subsampled Power Iteration: a Unified Algorithm for Block Models and Planted CSP's
NIPS 2015
Efficient Representations for Lifelong Learning and Autoencoding
COLT 2015
Principal Component Analysis and Higher Correlations for Distributed Data
COLT 2014
Efficient Algorithms for Universal Portfolios
JMLR 2002