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Papers
Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling
AISTATS 2021
A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling
AISTATS 2021
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning
NIPS 2021
On Sampling-Based Training Criteria for Neural Language Modeling
INTERSPEECH 2021
Monte Carlo Variational Auto-Encoders
ICML 2021
Statistical Estimation of the Poincaré constant and Application to Sampling Multimodal Distributions
AISTATS 2020
Importance Sampling via Local Sensitivity
AISTATS 2020
Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning
COLING 2020