David Tse
15 papers · 2015–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (5) π Cross-Pollinator (10)
π
Academic Marathon
(9)
πΊοΈ
Taxonomy Completionist
(26)
π
Cross-Pollinator
(10)
π
Triple Crown
π
Trend Setter
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(59)
π
Century Club
(15)
Conferences
NIPS (9)
AISTATS (2)
ICML (2)
ICLR (1)
NSDI (1)
Top co-authors
Keywords
multi-armed bandit
(4)
false discovery rate
(2)
adaptive sampling
(2)
non-convex optimization
(1)
subspace learning
(1)
feature selection
(1)
binary classification
(1)
sample complexity
(1)
neural network optimization
(1)
hypothesis testing
(1)
minimax optimization
(1)
tensor decomposition
(1)
low-rank approximation
(1)
partition function
(1)
distribution matching
(1)
supervised learning
(1)
distance computation
(1)
kernel density estimation
(1)
optimization landscape
(1)
divergence minimization
(1)
Papers
Adaptive Sampling for Efficient Softmax Approximation
NIPS 2024
DispersedLedger: High-Throughput Byzantine Consensus on Variable Bandwidth Networks
NSDI 2022
Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits
NIPS 2022
Approximate Function Evaluation via Multi-Armed Bandits
AISTATS 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
NIPS 2019
A Convex Duality Framework for GANs
NIPS 2018
Porcupine Neural Networks: Approximating Neural Network Landscapes
NIPS 2018
Medoids in Almost-Linear Time via Multi-Armed Bandits
AISTATS 2018
Tensor Biclustering
NIPS 2017
NeuralFDR: Learning Discovery Thresholds from Hypothesis Features
NIPS 2017
A Minimax Approach to Supervised Learning
NIPS 2016
Community Recovery in Graphs with Locality
ICML 2016
Discrete RΓ©nyi Classifiers
NIPS 2015