← Authors

David Tse

15 papers · 2015–2024 · 5 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (9) πŸ—ΊοΈ Taxonomy Completionist (26) 🐝 Cross-Pollinator (10) πŸ‘‘ Triple Crown πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (5) πŸ—ƒοΈ Keyword Collector (59) πŸ’Ž Century Club (15)

Conferences

NIPS (9) AISTATS (2) ICML (2) ICLR (1) NSDI (1)

Top co-authors

Farzan Farnia (4) Govinda Kamath (2) Jesse Zhang (2) Hamid Javadi (2) Mert Pilanci (2) Martin Zhang (2) Tavor Z. Baharav (2) Tavor Baharav (2) Soheil Feizi (2) Meisam Razaviyayn (1)

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