PMLR
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Publisher Of
- Langevin Monte Carlo for Contextual Bandits 2022
- Counterfactual Representation Learning with Balancing Weights.. 1972-1980. 2021
- Fisher Auto-Encoders.. 352-360. 2021
- Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference.. 3252-3262. 2020
- Learning Autoencoders with Relational Regularization.. 10576-10586. 2020
- Neural Conditional Event Time Models.. 223-244. 2020
- Proportionally Fair Clustering.. 1032-1041. 2019
- SMOGS: Social Network Metrics of Game Success.. 2406-2414. 2019
- Provable estimation of the number of blocks in block models. 1185-1194. 2018
- Adversarial Time-to-Event Modeling.. 734-743. 2018
- Chi-square Generative Adversarial Network.. 4894-4903. 2018
- DCFNet: Deep Neural Network with Decomposed Convolutional Filters.. 4195-4204. 2018
- JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets.. 4148-4157. 2018
- Multi-Label Learning from Medical Plain Text with Convolutional Residual Models.. 280-294. 2018
- Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model.. 312-331. 2018
- Temporal Poisson Square Root Graphical Models.. 1700-1709. 2018
- Adversarial Feature Matching for Text Generation.. 4006-4015. 2017
- Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data.. 177-190. 2017
- A Deep Learning Approach to Unsupervised Ensemble Learning. 30-39. 2016
- Double Explore-then-Commit: Asymptotic Optimality and Beyond