James Sharpnack
16 papers · 2010–2024 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
π§
Keyword Pioneer
π
Trend Setter
π₯
Unstoppable Β· Bronze
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Renaissance Researcher
(6)
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Century Club Β· Bronze
ποΈ
Keyword Collector
(99)
Top co-authors
Research topics
Machine Learning
(15)
Mathematics & Optimization
(8)
Core Methods
(8)
Artificial Intelligence
(6)
Learning Types Β· Machine Learning
(6)
Mathematics
(5)
Optimization
(5)
Optimization & Theory
(5)
Core AI
(4)
Application Areas
(3)
Deep Learning
(2)
Learning Types Β· Deep Learning
(2)
Computer Science
(1)
Computer Vision
(1)
Data Science & Analytics
(1)
Keywords
graph signal processing
(3)
contextual bandit
(3)
trend filtering
(2)
regret bound
(2)
local adaptivity
(2)
signal recovery
(2)
fused lasso
(2)
variable selection
(1)
adversarial robustness
(1)
image classification
(1)
matrix factorization
(1)
graph theory
(1)
collaborative filtering
(1)
data augmentation
(1)
convex optimization
(1)
anomaly detection
(1)
semi-supervised learning
(1)
ising model
(1)
gaussian process
(1)
high-dimensional statistics
(1)
Papers
Detecting LLM-Assisted Cheating on Open-Ended Writing Tasks on Language Proficiency Tests
EMNLP 2024
RLSbench: Domain Adaptation Under Relaxed Label Shift
ICML 2023
An Unsupervised Hunt for Gravitational Lenses
AISTATS 2022
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks
AISTATS 2022
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms
NeurIPS 2022
An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling
AISTATS 2021
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering
AISTATS 2020
Learning Patterns for Detection with Multiscale Scan Statistics
COLT 2018
SQL-Rank: A Listwise Approach to Collaborative Ranking
ICML 2018
The DFS Fused Lasso: Linear-Time Denoising over General Graphs
JMLR 2018
Trend Filtering on Graphs
JMLR 2016
Trend Filtering on Graphs
AISTATS 2015
Changepoint Detection over Graphs with the Spectral Scan Statistic
AISTATS 2013
Detecting Activations over Graphs using Spanning Tree Wavelet Bases
AISTATS 2013
Sparsistency of the Edge Lasso over Graphs
AISTATS 2012
Identifying graph-structured activation patterns in networks
NeurIPS 2010