Skip to content
conftrace_

Ha Manh Bui

3 papers · 2024–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓
🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (10)

Venues

AISTATS (2) ICML (1)

Top co-authors

Anqi Liu (3) Enrique Mallada (1)

Research topics

Machine Learning (3) Deep Learning (2) Application Areas (2) Core Methods (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Artificial Intelligence (1) Core AI (1) Optimization & Theory (1)

Keywords

uncertainty estimation (2) distribution shift (2) uncertainty quantification (1) deep regression (1) upper confidence bound (1) deep neural network (1) ensemble method (1) softmax layer (1) deep ensemble (1) distance-aware learning (1) density regression (1) model parameter (1) neural contextual bandit (1) single forward pass (1) density function (1) regret analysis (1) lipschitz-constrained feature extractor (1) density estimation (1)

Papers

Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits AISTATS 2025 Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts AISTATS 2024 Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts ICML 2024