Imagen de Portada

Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Maus, Natalie, Kim, Kyurae, Zeng, Yimeng, Jones, Haydn Thomas, Wan, Fangping, Torres, Marcelo Der Torossian, de la Fuente-Nunez, Cesar, Gardner, Jacob R.
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Large Scale Multi-Task Bayesian Optimization with Large Language Models
por: Zeng, Yimeng, et al.
Publicado: (2025)

Purely Agent-Driven Black-Box Optimization for Biological Design
por: Maus, Natalie, et al.
Publicado: (2026)

Predicting and generating antibiotics against future pathogens with ApexOracle
por: Leng, Tianang, et al.
Publicado: (2025)

Learned Offline Query Planning via Bayesian Optimization
por: Tao, Jeffrey, et al.
Publicado: (2025)

Adversarial Query Synthesis via Bayesian Optimization
por: Tao, Jeffrey, et al.
Publicado: (2026)

A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design
por: Jones, Haydn Thomas, et al.
Publicado: (2025)

Approximation-Aware Bayesian Optimization
por: Maus, Natalie, et al.
Publicado: (2024)

The Behavior and Convergence of Local Bayesian Optimization
por: Wu, Kaiwen, et al.
Publicado: (2023)

OmegAMP: Targeted AMP Discovery through Biologically Informed Generation
por: Soares, Diogo, et al.
Publicado: (2025)

Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?
por: Kim, Kyurae, et al.
Publicado: (2023)

We Still Don't Understand High-Dimensional Bayesian Optimization
por: Doumont, Colin, et al.
Publicado: (2025)

Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale
por: Jones, Haydn, et al.
Publicado: (2026)

“EU QUERIA MUDAR”: A PSICANÁLISE FACE À ADOLESCÊNCIA POBRE E SEM LUGAR
por: Sandra Torossian
Publicado: (2017)

Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference
por: Kim, Kyurae, et al.
Publicado: (2025)

Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization
por: Kim, Kyurae, et al.
Publicado: (2025)

Demystifying SGD with Doubly Stochastic Gradients
por: Kim, Kyurae, et al.
Publicado: (2024)

Stochastic Approximation with Biased MCMC for Expectation Maximization
por: Gruffaz, Samuel, et al.
Publicado: (2024)

Provably Scalable Black-Box Variational Inference with Structured Variational Families
por: Ko, Joohwan, et al.
Publicado: (2024)

Improving Structural Diversity of Blackbox LLMs via Chain-of-Specification Prompting
por: Young, Halley, et al.
Publicado: (2024)

Large-Scale Gaussian Processes via Alternating Projection
por: Wu, Kaiwen, et al.
Publicado: (2023)

Stochastic Gradient Variational Inference with Price's Gradient Estimator from Bures-Wasserstein to Parameter Space
por: Kim, Kyurae, et al.
Publicado: (2026)

On the Convergence of Black-Box Variational Inference
por: Kim, Kyurae, et al.
Publicado: (2023)

Joint Composite Latent Space Bayesian Optimization
por: Maus, Natalie, et al.
Publicado: (2023)

Adaptive Bayesian Beamforming for Imaging by Marginalizing the Speed of Sound
por: Kim, Kyurae, et al.
Publicado: (2022)

PepCompass: Navigating peptide embedding spaces using Riemannian Geometry
por: Możejko, Marcin, et al.
Publicado: (2025)

ApexGen: Simultaneous design of peptide binder sequence and structure for target proteins
por: Xia, Xiaoqiong, et al.
Publicado: (2025)

Hyperbolic Graph Embeddings Reveal the Host-Pathogen Interactome
por: Xia, Xiaoqiong, et al.
Publicado: (2025)

Una tortuga Chelidae (Testudines: Pleurodira) de cuello largo en el Grupo Neuquén, Río Negro, Argentina: Significado cronológico y paleobiogeográfico
por: Marcelo S de la Fuente
Publicado: (2010)

La trampa de la edad: Cómo los estereotipos edadistas nos perjudican en todas las etapas de la vida.
por: Vânia de la Fuente-Núñez
Publicado: (2025)

Volatile nitrosamine manual stack monitoring method: sampling validation and performance assessment on stack simulated conditions
por: Barros, Haydn
Publicado: (2025)

Figure 2-8.
por: Haydn Rhodes
Publicado: (2026)

Figure 3-13.
por: Haydn Rhodes
Publicado: (2026)

Domestic frontier AI regulation, an IAEA for AI, an NPT for AI, and a US-led Allied Public-Private Partnership for AI: Four institutions for governing and developing frontier AI
por: Belfield, Haydn
Publicado: (2025)

What Information Should Be Shared with Whom "Before and During Training"?
por: Belfield, Haydn
Publicado: (2024)

Generative Adversarial Model-Based Optimization via Source Critic Regularization
por: Yao, Michael S., et al.
Publicado: (2024)

Entropy-Guided Multiplicative Updates: KL Projections for Multi-Factor Target Exposures
por: Qiu, Yimeng
Publicado: (2025)

Mislearning of Factor Risk Premia under Structural Breaks: A Misspecified Bayesian Learning Framework
por: Qiu, Yimeng
Publicado: (2026)

Fully Bayesian Wideband Direction-of-Arrival Estimation and Detection via RJMCMC
por: Kim, Kyurae, et al.
Publicado: (2024)

Near-Optimal Distributed Ruling Sets for Trees and High-Girth Graphs
por: Baumecker, Malte, et al.
Publicado: (2025)

Integral Online Algorithms for Set Cover and Load Balancing with Convex Objectives
por: Kesselheim, Thomas, et al.
Publicado: (2025)