Arun Sai Suggala
12 papers · 2015–2024 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (37)
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Century Club · Bronze
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Unstoppable · Bronze
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Research topics
Machine Learning
(11)
Core Methods
(8)
Learning Types · Machine Learning
(8)
Optimization & Theory
(8)
Mathematics & Optimization
(6)
Optimization
(5)
Artificial Intelligence
(4)
Bayesian & Probabilistic · Machine Learning
(3)
Application Areas
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core AI
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Applications
(1)
Learning Types · Deep Learning
(1)
Keywords
regret bound
(3)
markov random field
(2)
graphical model
(2)
online learning
(2)
structure learning
(1)
non-convex optimization
(1)
robust regression
(1)
convex optimization
(1)
nonparametric bayesian
(1)
matrix factorization
(1)
ensemble learning
(1)
parameter estimation
(1)
feature selection
(1)
prototype learning
(1)
sparse estimation
(1)
sequential decision making
(1)
nearest neighbor
(1)
nonparametric model
(1)
probability distribution
(1)
probabilistic modeling
(1)
Papers
Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD
NeurIPS 2024
Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation
AAAI 2023
Optimal Algorithms for Latent Bandits with Cluster Structure
AISTATS 2023
Building Robust Ensembles via Margin Boosting
ICML 2022
Efficient Bandit Convex Optimization: Beyond Linear Losses
COLT 2021
Online Non-Convex Learning: Following the Perturbed Leader is Optimal
ALT 2020
Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression
COLT 2019
Revisiting Adversarial Risk
AISTATS 2019
Latent Feature Lasso
ICML 2017
Ordinal Graphical Models: A Tale of Two Approaches
ICML 2017
ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices
ICML 2017
Vector-Space Markov Random Fields via Exponential Families
ICML 2015