Search Results for author: Duy Nguyen

Found 10 papers, 3 papers with code

Robust Bayesian Recourse

no code implementations22 Jun 2022 Tuan-Duy H. Nguyen, Ngoc Bui, Duy Nguyen, Man-Chung Yue, Viet Anh Nguyen

Algorithmic recourse aims to recommend an informative feedback to overturn an unfavorable machine learning decision.

BIG-bench Machine Learning

Leveraging Clinically Relevant Biometric Constraints To Supervise A Deep Learning Model For The Accurate Caliper Placement To Obtain Sonographic Measurements Of The Fetal Brain

no code implementations28 Mar 2022 Hari Shankar, Adithya Narayan, Shefali Jain, Divya Singh, Pooja Vyas, Nivedita Hegde, Purbayan Kar, Abhi Lad, Jens Thang, Jagruthi Atada, Duy Nguyen, PS Roopa, Akhila Vasudeva, Prathima Radhakrishnan, Sripad Krishna Devalla

Multiple studies have demonstrated that obtaining standardized fetal brain biometry from mid-trimester ultrasonography (USG) examination is key for the reliable assessment of fetal neurodevelopment and the screening of central nervous system (CNS) anomalies.

Data Augmentation

Counterfactual Plans under Distributional Ambiguity

1 code implementation ICLR 2022 Ngoc Bui, Duy Nguyen, Viet Anh Nguyen

Counterfactual explanations are attracting significant attention due to the flourishing applications of machine learning models in consequential domains.

Posterior concentration and fast convergence rates for generalized Bayesian learning

no code implementations19 Nov 2021 Lam Si Tung Ho, Binh T. Nguyen, Vu Dinh, Duy Nguyen

We prove that under the multi-scale Bernstein's condition, the generalized posterior distribution concentrates around the set of optimal hypotheses and the generalized Bayes estimator can achieve fast learning rate.

Distributionally Robust Recourse Action

no code implementations29 Sep 2021 Duy Nguyen, Ngoc Bui, Viet Anh Nguyen

Recourse actions, also known as counterfactual explanations, aim to explain a particular algorithmic decision by showing one or multiple ways in which the instance could be modified to receive an alternate outcome.

Adaptive Name Entity Recognition under Highly Unbalanced Data

no code implementations10 Mar 2020 Thong Nguyen, Duy Nguyen, Pramod Rao

For several purposes in Natural Language Processing (NLP), such as Information Extraction, Sentiment Analysis or Chatbot, Named Entity Recognition (NER) holds an important role as it helps to determine and categorize entities in text into predefined groups such as the names of persons, locations, quantities, organizations or percentages, etc.

Chatbot named-entity-recognition +3

Variational Bayes on Manifolds

1 code implementation8 Aug 2019 Minh-Ngoc Tran, Dang H. Nguyen, Duy Nguyen

Nonetheless, the development of the existing VB algorithms is so far generally restricted to the case where the variational parameter space is Euclidean, which hinders the potential broad application of VB methods.

Bayesian Inference

Fast learning rates with heavy-tailed losses

no code implementations NeurIPS 2016 Vu Dinh, Lam Si Tung Ho, Duy Nguyen, Binh T. Nguyen

We study fast learning rates when the losses are not necessarily bounded and may have a distribution with heavy tails.

Quantization

Learning From Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers

no code implementations12 Aug 2014 Vu Dinh, Lam Si Tung Ho, Nguyen Viet Cuong, Duy Nguyen, Binh T. Nguyen

We prove new fast learning rates for the one-vs-all multiclass plug-in classifiers trained either from exponentially strongly mixing data or from data generated by a converging drifting distribution.

Cannot find the paper you are looking for? You can Submit a new open access paper.