David Tse
15 papers · 2015–2024 · 5 venues · across top CS/AI venues
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Achievements
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๐ Interdisciplinary Bridge ยท Silver ๐ Conference Polyglot ยท Silver ๐ Academic Marathon ยท Sprint ๐ฃ Hot Topic Early Bird ๐บ๏ธ Taxonomy Completionist (26)
๐
Triple Crown
๐
Century Club ยท Bronze
๐๏ธ
Keyword Collector
(71)
๐ฅ
Unstoppable ยท Bronze
Top co-authors
Research topics
Machine Learning
(14)
Optimization & Theory
(11)
Core Methods
(8)
Mathematics & Optimization
(7)
Optimization
(5)
Learning Types
(4)
Deep Learning
(3)
Mathematics
(2)
Models
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Data Science & Analytics
(1)
Application Areas
(1)
Applications
(1)
Core AI
(1)
Keywords
multi-armed bandit
(5)
wasserstein distance
(2)
adaptive sampling
(2)
sample complexity
(2)
false discovery rate
(2)
binary classification
(1)
adversarial training
(1)
divergence minimization
(1)
supervised learning
(1)
non-convex optimization
(1)
feature selection
(1)
neural network optimization
(1)
low-rank approximation
(1)
minimax optimization
(1)
tensor decomposition
(1)
subspace learning
(1)
partition function
(1)
distribution matching
(1)
hypothesis testing
(1)
online learning
(1)
Papers
Adaptive Sampling for Efficient Softmax Approximation
NeurIPS 2024
Approximate Function Evaluation via Multi-Armed Bandits
AISTATS 2022
Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits
NeurIPS 2022
DispersedLedger: High-Throughput Byzantine Consensus on Variable Bandwidth Networks
NSDI 2022
Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits
ICML 2019
Generalizable Adversarial Training via Spectral Normalization
ICLR 2019
Ultra Fast Medoid Identification via Correlated Sequential Halving
NeurIPS 2019
A Convex Duality Framework for GANs
NeurIPS 2018
Medoids in Almost-Linear Time via Multi-Armed Bandits
AISTATS 2018
Porcupine Neural Networks: Approximating Neural Network Landscapes
NeurIPS 2018
NeuralFDR: Learning Discovery Thresholds from Hypothesis Features
NeurIPS 2017
Tensor Biclustering
NeurIPS 2017
A Minimax Approach to Supervised Learning
NeurIPS 2016
Community Recovery in Graphs with Locality
ICML 2016
Discrete Rรฉnyi Classifiers
NeurIPS 2015