Imagen de Portada

The Role of Causal Features in Strategic Classification for Robustness and Alignment

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Gois, Antonio, Gunluk, Sophia, Rosenfeld, Nir, Hegde, Nidhi, Lacoste-Julien, Simon, Sridhar, Dhanya
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning I.2.6; G.3
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Survey of Methods, Challenges and Perspectives in Causality
por: Gendron, Gaël, et al.
Publicado: (2023)

How Does the Pretraining Distribution Shape In-Context Learning? Task Selection, Generalization, and Robustness
por: Azizian, Waïss, et al.
Publicado: (2025)

Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks
por: Gendron, Gaël, et al.
Publicado: (2024)

Bayesian Optimization in Linear Time
por: Schneider, Jesse, et al.
Publicado: (2026)

Context-dependent Causality (the Non-Nonotonic Case)
por: Billfeld, Nir, et al.
Publicado: (2024)

Bayesian Hierarchical Probabilistic Forecasting of Intraday Electricity Prices
por: Nickelsen, Daniel, et al.
Publicado: (2024)

Causal Discovery in Semi-Stationary Time Series
por: Gao, Shanyun, et al.
Publicado: (2024)

TrajGPT: Controlled Synthetic Trajectory Generation Using a Multitask Transformer-Based Spatiotemporal Model
por: Hsu, Shang-Ling, et al.
Publicado: (2024)

Causal Discovery-Driven Change Point Detection in Time Series
por: Gao, Shanyun, et al.
Publicado: (2024)

Causal Portfolio Optimization: Principles and Sensitivity-Based Solutions
por: Dominguez, Alejandro Rodriguez
Publicado: (2025)

Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour
por: Howard, Rhys, et al.
Publicado: (2023)

Uncertainty-Aware Transfer Learning for Cross-Building Energy Forecasting: Toward Robust and Scalable District-Level Energy Management
por: Zaregarizi, Shadmehr, et al.
Publicado: (2026)

Causal PDE-Control Models for Dynamic Portfolio Optimization with Latent Drivers
por: Dominguez, Alejandro Rodriguez
Publicado: (2025)

ALM-MTA:Front-Door Causal Multi-Touch Attribution Method for Creator-Ecosystem Optimization
por: Liu, Yuguang, et al.
Publicado: (2026)

Enhanced Random Subspace Local Projections for High-Dimensional Time Series Analysis
por: Khalid, Eman, et al.
Publicado: (2026)

HAPEns: Hardware-Aware Post-Hoc Ensembling for Tabular Data
por: Maier, Jannis, et al.
Publicado: (2026)

Blind-Spot Mass: A Good-Turing Framework for Quantifying Deployment Coverage Risk in Machine Learning Systems
por: Pal, Biplab, et al.
Publicado: (2026)

Uncertainty Propagation Networks for Neural Ordinary Differential Equations
por: Jahanshahi, Hadi, et al.
Publicado: (2025)

SmallML: Bayesian Transfer Learning for Small-Data Predictive Analytics
por: Leontev, Semen
Publicado: (2025)

PhAIL: A Real-Robot VLA Benchmark and Distributional Methodology
por: Arkhangelskiy, Sergey
Publicado: (2026)

A Survey on Data-Dependent Worst-Case Generalization Bounds
por: Leroux, Hubert, et al.
Publicado: (2026)

Deep Learning for Solving and Estimating Dynamic Models in Economics and Finance
por: Scheidegger, Simon
Publicado: (2026)

MINERVA: Mutual Information Neural Estimation for Supervised Feature Selection
por: Muvunza, Taurai, et al.
Publicado: (2025)

EXCODER: EXplainable Classification Of DiscretE time series Representations
por: Hahn, Yannik, et al.
Publicado: (2026)

The Unified Non-Convex Framework for Robust Causal Inference: Overcoming the Gaussian Barrier and Optimization Fragility
por: Uehara, Eichi
Publicado: (2025)

Randomized Approach to Matrix Completion: Applications in Recommendation Systems and Image Inpainting
por: Krajewska, Antonina, et al.
Publicado: (2024)

Causal Parametric Drift Simulation: A Digital Twin Framework for Classifier Robustness Evaluation
por: Lafrance, Julien, et al.
Publicado: (2026)

A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetic
por: De Smet, Lennert, et al.
Publicado: (2024)

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation
por: Fang, Junyi, et al.
Publicado: (2025)

Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection
por: Williamson, Dane, et al.
Publicado: (2025)

Aggregating Direct and Indirect Neighbors through Graph Linear Transformations
por: Rosenhoover, Marshall, et al.
Publicado: (2025)

Improving ML Training Data with Gold-Standard Quality Metrics
por: Barrett, Leslie, et al.
Publicado: (2025)

Neural-Guided Equation Discovery
por: Brugger, Jannis, et al.
Publicado: (2025)

Bayesian X-Learner: Calibrated Posterior Inference for Heterogeneous Treatment Effects under Heavy-Tailed Outcomes
por: Uehara, Eichi
Publicado: (2026)

Kernel-Smoothed Scores for Denoising Diffusion: A Bias-Variance Study
por: Gabriel, Franck, et al.
Publicado: (2025)

Posets and Bounded Probabilities for Discovering Order-inducing Features in Event Knowledge Graphs
por: Back, Christoffer Olling, et al.
Publicado: (2024)

Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies
por: Lachapelle, Sébastien, et al.
Publicado: (2024)

Counterfactual Causal Inference in Natural Language with Large Language Models
por: Gendron, Gaël, et al.
Publicado: (2024)

Off-policy Evaluation with Deeply-abstracted States
por: Hao, Meiling, et al.
Publicado: (2024)

Variational Search Distributions
por: Steinberg, Daniel M., et al.
Publicado: (2024)