When Symbol Names Should Not Matter: A Logistic Theory of Fresh-Symbol Classification
Fuente:
arXiv
Guardado en:
| Autores principales: | Guan, Wenjie, Bradic, Jelena |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
High-dimensional semi-supervised learning: in search for optimal inference of the mean
por: Zhang, Yuqian, et al.
Publicado: (2019)
por: Zhang, Yuqian, et al.
Publicado: (2019)
Multi-environment Invariance Learning with Missing Data
por: Jia, Yiran, et al.
Publicado: (2026)
por: Jia, Yiran, et al.
Publicado: (2026)
Causal inference through multi-stage learning and doubly robust deep neural networks
por: Zhang, Yuqian, et al.
Publicado: (2024)
por: Zhang, Yuqian, et al.
Publicado: (2024)
Dynamic covariate balancing: estimating treatment effects over time with potential local projections
por: Viviano, Davide, et al.
Publicado: (2021)
por: Viviano, Davide, et al.
Publicado: (2021)
Adaptive Split Balancing for Optimal Random Forest
por: Zhang, Yuqian, et al.
Publicado: (2024)
por: Zhang, Yuqian, et al.
Publicado: (2024)
Double Robust Semi-Supervised Inference for the Mean: Selection Bias under MAR Labeling with Decaying Overlap
por: Zhang, Yuqian, et al.
Publicado: (2021)
por: Zhang, Yuqian, et al.
Publicado: (2021)
The Decaying Missing-at-Random Framework: Model Doubly Robust Causal Inference with Partially Labeled Data
por: Zhang, Yuqian, et al.
Publicado: (2023)
por: Zhang, Yuqian, et al.
Publicado: (2023)
Names Don't Matter: Symbol-Invariant Transformer for Open-Vocabulary Learning
por: Işık, İlker, et al.
Publicado: (2026)
por: Işık, İlker, et al.
Publicado: (2026)
Dynamic treatment effects: high-dimensional inference under model misspecification
por: Zhang, Yuqian, et al.
Publicado: (2021)
por: Zhang, Yuqian, et al.
Publicado: (2021)
Estimating Treatment Effect under Additive Hazards Models with High-dimensional Covariates
por: Hou, Jue, et al.
Publicado: (2019)
por: Hou, Jue, et al.
Publicado: (2019)
The Road to Generalizable Neuro-Symbolic Learning Should be Paved with Foundation Models
por: Stein, Adam, et al.
Publicado: (2025)
por: Stein, Adam, et al.
Publicado: (2025)
Minimax Semiparametric Learning With Approximate Sparsity
por: Bradic, Jelena, et al.
Publicado: (2019)
por: Bradic, Jelena, et al.
Publicado: (2019)
Auditable Unit-Aware Thresholds in Symbolic Regression via Logistic-Gated Operators
por: Deng, Ou, et al.
Publicado: (2025)
por: Deng, Ou, et al.
Publicado: (2025)
A Compression Based Classification Framework Using Symbolic Dynamics of Chaotic Maps
por: Naik, Parth, et al.
Publicado: (2025)
por: Naik, Parth, et al.
Publicado: (2025)
TimeSliver : Symbolic-Linear Decomposition for Explainable Time Series Classification
por: Pandey, Akash, et al.
Publicado: (2026)
por: Pandey, Akash, et al.
Publicado: (2026)
Wavelet-Filtering of Symbolic Music Representations for Folk Tune Segmentation and Classification
por: Velarde, Gissel, et al.
Publicado: (2025)
por: Velarde, Gissel, et al.
Publicado: (2025)
Discovering Predictive Relational Object Symbols with Symbolic Attentive Layers
por: Ahmetoglu, Alper, et al.
Publicado: (2023)
por: Ahmetoglu, Alper, et al.
Publicado: (2023)
Neural Proposals, Symbolic Guarantees: Neuro-Symbolic Graph Generation with Hard Constraints
por: Geng, Chuqin, et al.
Publicado: (2026)
por: Geng, Chuqin, et al.
Publicado: (2026)
Symbol Correctness in Deep Neural Networks Containing Symbolic Layers
por: Bembenek, Aaron, et al.
Publicado: (2024)
por: Bembenek, Aaron, et al.
Publicado: (2024)
Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions
por: Daniele, Alessandro, et al.
Publicado: (2022)
por: Daniele, Alessandro, et al.
Publicado: (2022)
Open-World Visual Reasoning by a Neuro-Symbolic Program of Zero-Shot Symbols
por: Burghouts, Gertjan, et al.
Publicado: (2024)
por: Burghouts, Gertjan, et al.
Publicado: (2024)
Symbol Grounding in Neuro-Symbolic AI: A Gentle Introduction to Reasoning Shortcuts
por: Marconato, Emanuele, et al.
Publicado: (2025)
por: Marconato, Emanuele, et al.
Publicado: (2025)
SPINEX_ Symbolic Regression: Similarity-based Symbolic Regression with Explainable Neighbors Exploration
por: Naser, MZ, et al.
Publicado: (2024)
por: Naser, MZ, et al.
Publicado: (2024)
Diffusion-Based Symbolic Regression
por: Bastiani, Zachary, et al.
Publicado: (2025)
por: Bastiani, Zachary, et al.
Publicado: (2025)
Dimension Reduction for Symbolic Regression
por: Kahlmeyer, Paul, et al.
Publicado: (2025)
por: Kahlmeyer, Paul, et al.
Publicado: (2025)
Decomposable Neuro Symbolic Regression
por: Morales, Giorgio, et al.
Publicado: (2025)
por: Morales, Giorgio, et al.
Publicado: (2025)
Fast Symbolic Regression Benchmarking
por: Martinek, Viktor
Publicado: (2025)
por: Martinek, Viktor
Publicado: (2025)
ABBA-VSM: Time Series Classification using Symbolic Representation on the Edge
por: Kanatbekova, Meerzhan, et al.
Publicado: (2024)
por: Kanatbekova, Meerzhan, et al.
Publicado: (2024)
PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression
por: Wu, Min, et al.
Publicado: (2024)
por: Wu, Min, et al.
Publicado: (2024)
Blog Data Showdown: Machine Learning vs Neuro-Symbolic Models for Gender Classification
por: Sinshaw, Natnael Tilahun, et al.
Publicado: (2025)
por: Sinshaw, Natnael Tilahun, et al.
Publicado: (2025)
Seeing Through Risk: A Symbolic Approximation of Prospect Theory
por: Yousaf, Ali Arslan, et al.
Publicado: (2025)
por: Yousaf, Ali Arslan, et al.
Publicado: (2025)
Parsing the Language of Expression: Enhancing Symbolic Regression with Domain-Aware Symbolic Priors
por: Huang, Sikai, et al.
Publicado: (2025)
por: Huang, Sikai, et al.
Publicado: (2025)
Optimal Pattern Detection Tree for Symbolic Rule-Based Classification
por: Hong, Young-Chae, et al.
Publicado: (2026)
por: Hong, Young-Chae, et al.
Publicado: (2026)
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics
por: Hayes, Conor F., et al.
Publicado: (2025)
por: Hayes, Conor F., et al.
Publicado: (2025)
Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
por: Keller, Leon, et al.
Publicado: (2025)
por: Keller, Leon, et al.
Publicado: (2025)
Bayesian Symbolic Regression for Missing Physics
por: Strouwen, Arno
Publicado: (2026)
por: Strouwen, Arno
Publicado: (2026)
Towards Scaling Laws for Symbolic Regression
por: Otte, David, et al.
Publicado: (2025)
por: Otte, David, et al.
Publicado: (2025)
Equality Graph Assisted Symbolic Regression
por: de Franca, Fabricio Olivetti, et al.
Publicado: (2025)
por: de Franca, Fabricio Olivetti, et al.
Publicado: (2025)
Neuro-Symbolic Temporal Point Processes
por: Yang, Yang, et al.
Publicado: (2024)
por: Yang, Yang, et al.
Publicado: (2024)
Discovering Symmetries of ODEs by Symbolic Regression
por: Kahlmeyer, Paul, et al.
Publicado: (2025)
por: Kahlmeyer, Paul, et al.
Publicado: (2025)
Ejemplares similares
-
High-dimensional semi-supervised learning: in search for optimal inference of the mean
por: Zhang, Yuqian, et al.
Publicado: (2019) -
Multi-environment Invariance Learning with Missing Data
por: Jia, Yiran, et al.
Publicado: (2026) -
Causal inference through multi-stage learning and doubly robust deep neural networks
por: Zhang, Yuqian, et al.
Publicado: (2024) -
Dynamic covariate balancing: estimating treatment effects over time with potential local projections
por: Viviano, Davide, et al.
Publicado: (2021) -
Adaptive Split Balancing for Optimal Random Forest
por: Zhang, Yuqian, et al.
Publicado: (2024)