Tse, David

14 publications

NeurIPS 2024 Adaptive Sampling for Efficient SoftMax Approximation Tavor Z. Baharav, Ryan Kang, Colin Sullivan, Mo Tiwari, Eric Luxenberg, David Tse, Mert Pilanci

AISTATS 2022 Approximate Function Evaluation via Multi-Armed Bandits Tavor Z. Baharav, Gary Cheng, Mert Pilanci, David Tse

NeurIPS 2022 Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits Yifei Wang, Tavor Baharav, Yanjun Han, Jiantao Jiao, David Tse

ICML 2019 Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits Martin Zhang, James Zou, David Tse

ICLR 2019 Generalizable Adversarial Training via Spectral Normalization Farzan Farnia, Jesse Zhang, David Tse

NeurIPS 2019 Ultra Fast Medoid Identification via Correlated Sequential Halving Tavor Baharav, David Tse

NeurIPS 2018 A Convex Duality Framework for GANs Farzan Farnia, David Tse

AISTATS 2018 Medoids in Almost-Linear Time via Multi-Armed Bandits Vivek Kumar Bagaria, Govinda M. Kamath, Vasilis Ntranos, Martin J. Zhang, David Tse

NeurIPS 2018 Porcupine Neural Networks: Approximating Neural Network Landscapes Soheil Feizi, Hamid Javadi, Jesse Zhang, David Tse

NeurIPS 2017 NeuralFDR: Learning Discovery Thresholds from Hypothesis Features Fei Xia, Martin J Zhang, James Y Zou, David Tse

NeurIPS 2017 Tensor Biclustering Soheil Feizi, Hamid Javadi, David Tse

NeurIPS 2016 A Minimax Approach to Supervised Learning Farzan Farnia, David Tse

ICML 2016 Community Recovery in Graphs with Locality Yuxin Chen, Govinda Kamath, Changho Suh, David Tse

NeurIPS 2015 Discrete Rényi Classifiers Meisam Razaviyayn, Farzan Farnia, David Tse