Sushant Sachdeva
11 papers · 2012–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) πΊοΈ Taxonomy Completionist (24) π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge
π
Conference Polyglot
(4)
π
Academic Marathon
(13)
ποΈ
Keyword Collector
(52)
π
Century Club
(11)
β
The Questioner
Conferences
NIPS (6)
COLT (2)
ICML (2)
AISTATS (1)
Top co-authors
Keywords
convex optimization
(3)
gradient descent
(2)
semi-supervised learning
(2)
representation learning
(1)
matrix factorization
(1)
graph laplacian
(1)
link prediction
(1)
game theory
(1)
independent component analysis
(1)
principal component analysis
(1)
continuous optimization
(1)
logistic regression
(1)
graph theory
(1)
convergence analysis
(1)
neural network optimization
(1)
sparse recovery
(1)
isotonic regression
(1)
matrix decomposition
(1)
graph embedding
(1)
unsupervised learning
(1)
Papers
PREM: Privately Answering Statistical Queries with Relative Error
COLT 2025
A Convergent and Dimension-Independent Min-Max Optimization Algorithm
ICML 2022
Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization
NIPS 2021
Faster Graph Embeddings via Coarsening
ICML 2020
Regularized linear autoencoders recover the principal components, eventually
NIPS 2020
Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression
NIPS 2019
Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model
NIPS 2019
Improved Semi-Supervised Learning with Multiple Graphs
AISTATS 2019
Fast, Provable Algorithms for Isotonic Regression in all L_p-norms
NIPS 2015
Algorithms for Lipschitz Learning on Graphs
COLT 2015
Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders
NIPS 2012