Jason Altschuler
9 papers · 2016–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (25) 🐣 Hot Topic Early Bird
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Keyword Pioneer
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Topic Evolution
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(8)
Mathematics & Optimization
(7)
Optimization & Theory
(7)
Optimization
(5)
Mathematics
(4)
Artificial Intelligence
(2)
Learning Types
(2)
Computer Science
(1)
Computer Vision
(1)
Deep Learning
(1)
Analysis
(1)
Application Areas
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core Methods
(1)
Keywords
optimal transport
(5)
multi-armed bandit
(2)
privacy amplification
(2)
differential privacy
(2)
renyi divergence
(1)
feature selection
(1)
online learning
(1)
sample complexity
(1)
stochastic gradient descent
(1)
gradient descent
(1)
robust statistics
(1)
matrix approximation
(1)
coordinate descent
(1)
markov chain
(1)
interpolation
(1)
strongly convex
(1)
stationary distribution
(1)
best arm identification
(1)
nyström method
(1)
langevin dynamics
(1)
Papers
Shifted Interpolation for Differential Privacy
ICML 2024
Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling
COLT 2023
Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss
NeurIPS 2022
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
NeurIPS 2021
Best Arm Identification for Contaminated Bandits
JMLR 2019
Massively scalable Sinkhorn distances via the Nyström method
NeurIPS 2019
Online learning over a finite action set with limited switching
COLT 2018
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
NeurIPS 2017
Greedy Column Subset Selection: New Bounds and Distributed Algorithms
ICML 2016