On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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5 results for “Cost-constrained”

A Nonmyopic Approach to Cost-Constrained Bayesian Optimizationcs.LG

New method optimizes costly evaluations in Bayesian optimization.

problem Costly evaluations in BO methods, especially in hyperparameter tuning.

method Formulated as a CMDP, developed rollout approximation for optimal policy.

result Improved cost efficiency over standard BO methods.

Bayesian optimization Cost-constrained Markov decision process Hyperparameter tuning Sensor selection

2021-06-10abs ↗pdf ↗

Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streamscs.LG

In many real-world learning scenarios, features are only acquirable at a cost constrained under a budget. In this paper, we propose a novel approach for cost-sensitive feature acquisition at the prediction-time. The suggested method acquires features incrementally based on a context-aware feature-value function. We for…

2019-01-02abs ↗pdf ↗

Optimal Experiments for Partial Causal Effect Identificationcs.AI

Optimal experiments tighten causal effect bounds efficiently.

problem Selecting experiments to tighten causal effect bounds from observational data.

method Formalized as max-potency problem, NP-hard. Polynomial-programming framework with graphical pruning criteria.

result Pruning criteria reduce search space significantly, enabling efficient experiment selection.

causal inference experimental design epistemic potency graphical criteria polynomial programming

2026-05-07abs ↗pdf ↗

Cost-constrained multi-label group feature selection using shadow featuresstat.ML

Cost-efficient feature selection for multi-label classification in medicine.

problem Feature selection in multi-label classification with cost constraints.

method Sequential feature selection maximizing conditional mutual information, followed by cost-free feature selection using shadow features.

result The method effectively reduces prediction costs in medical applications.

feature selection multi-label classification cost constraints information theory shadow features

2024-08-03abs ↗pdf ↗

Feature Selection Methods for Cost-Constrained Classification in Random Forestsstat.ML

A new feature selection method for cost-sensitive classification in Random Forests.

problem Feature selection in Random Forests is challenging due to the complexity of ensemble trees.

method Shallow Tree Selection method for feature selection from small tree structures, adapted for cost-sensitive learning.

result BCR criterion improves performance of feature selection methods.

feature selection random forests cost-sensitive BCR criterion simulation study

2020-08-14abs ↗pdf ↗