Search Results for author: Duy Nguyen

Found 15 papers, 5 papers with code

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

Distributionally Robust Recourse Action

1 code implementation22 Feb 2023 Duy Nguyen, Ngoc Bui, Viet Anh Nguyen

To redress this shortcoming, we propose the Distributionally Robust Recourse Action (DiRRAc) framework, which generates a recourse action that has a high probability of being valid under a mixture of model shifts.

valid

Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand Hygiene

1 code implementation7 Sep 2021 Huy Q. Vo, Tuong Do, Vi C. Pham, Duy Nguyen, An T. Duong, Quang D. Tran

This paper contributes a new high-quality dataset for hand gesture recognition in hand hygiene systems, named "MFH".

Benchmarking Fine-Grained Image Recognition +3

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.

counterfactual Uncertainty Quantification

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.

Clustering 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.

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 +4

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.

regression

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

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

Feasible Recourse Plan via Diverse Interpolation

1 code implementation22 Feb 2023 Duy Nguyen, Ngoc Bui, Viet Anh Nguyen

The experimental results show that our method produces a set of recourses that are close to the data manifold while delivering a better cost-diversity trade-off than existing approaches.

Dynamic Tiling: A Model-Agnostic, Adaptive, Scalable, and Inference-Data-Centric Approach for Efficient and Accurate Small Object Detection

no code implementations20 Sep 2023 Son The Nguyen, Theja Tulabandhula, Duy Nguyen

We introduce Dynamic Tiling, a model-agnostic, adaptive, and scalable approach for small object detection, anchored in our inference-data-centric philosophy.

Object object-detection +2

Coverage-Validity-Aware Algorithmic Recourse

no code implementations19 Nov 2023 Ngoc Bui, Duy Nguyen, Man-Chung Yue, Viet Anh Nguyen

Algorithmic recourse emerges as a prominent technique to promote the explainability, transparency and hence ethics of machine learning models.

Ethics valid

Cost-Adaptive Recourse Recommendation by Adaptive Preference Elicitation

no code implementations23 Feb 2024 Duy Nguyen, Bao Nguyen, Viet Anh Nguyen

Algorithmic recourse recommends a cost-efficient action to a subject to reverse an unfavorable machine learning classification decision.

Question Answering

On short-time behavior of implied volatility in a market model with indexes

no code implementations26 Feb 2024 Huy N. Chau, Duy Nguyen, Thai Nguyen

This paper investigates short-term behaviors of implied volatility of derivatives written on indexes in equity markets when the index processes are constructed by using a ranking procedure.

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