Guardado en:
| Autores principales: | Rayan, Sahana, Tewari, Ambuj |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2502.01459 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Greedy PDE Router for Blending Neural Operators and Classical Methods
por: Rayan, Sahana, et al.
Publicado: (2025)
por: Rayan, Sahana, et al.
Publicado: (2025)
Conformal Robust Control of Linear Systems
por: Patel, Yash, et al.
Publicado: (2024)
por: Patel, Yash, et al.
Publicado: (2024)
Distribution-Free Robust Predict-Then-Optimize in Function Spaces
por: Patel, Yash, et al.
Publicado: (2026)
por: Patel, Yash, et al.
Publicado: (2026)
On the Computational Complexity of Private High-dimensional Model Selection
por: Roy, Saptarshi, et al.
Publicado: (2023)
por: Roy, Saptarshi, et al.
Publicado: (2023)
Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation
por: Rivera, Eduardo Ochoa, et al.
Publicado: (2024)
por: Rivera, Eduardo Ochoa, et al.
Publicado: (2024)
Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions
por: Brooks, Marc, et al.
Publicado: (2025)
por: Brooks, Marc, et al.
Publicado: (2025)
Variational Inference with Coverage Guarantees in Simulation-Based Inference
por: Patel, Yash, et al.
Publicado: (2023)
por: Patel, Yash, et al.
Publicado: (2023)
Offline Constrained Reinforcement Learning under Partial Data Coverage
por: Ko, Seokmin, et al.
Publicado: (2025)
por: Ko, Seokmin, et al.
Publicado: (2025)
If generative AI is the answer, what is the question?
por: Tewari, Ambuj
Publicado: (2025)
por: Tewari, Ambuj
Publicado: (2025)
Operator Learning: A Statistical Perspective
por: Subedi, Unique, et al.
Publicado: (2025)
por: Subedi, Unique, et al.
Publicado: (2025)
On the Benefits of Active Data Collection in Operator Learning
por: Subedi, Unique, et al.
Publicado: (2024)
por: Subedi, Unique, et al.
Publicado: (2024)
A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs
por: Hong, Kihyuk, et al.
Publicado: (2024)
por: Hong, Kihyuk, et al.
Publicado: (2024)
Learning Directed Acyclic Graphs from Partial Orderings
por: Shojaie, Ali, et al.
Publicado: (2024)
por: Shojaie, Ali, et al.
Publicado: (2024)
Is Zero-Shot Super-Resolution Possible in Operator Learning?
por: Subedi, Unique, et al.
Publicado: (2026)
por: Subedi, Unique, et al.
Publicado: (2026)
Controlling Statistical, Discretization, and Truncation Errors in Learning Fourier Linear Operators
por: Subedi, Unique, et al.
Publicado: (2024)
por: Subedi, Unique, et al.
Publicado: (2024)
Depth Functions for Partial Orders with a Descriptive Analysis of Machine Learning Algorithms
por: Blocher, Hannah, et al.
Publicado: (2023)
por: Blocher, Hannah, et al.
Publicado: (2023)
Quantum Learning Theory Beyond Batch Binary Classification
por: Mohan, Preetham, et al.
Publicado: (2023)
por: Mohan, Preetham, et al.
Publicado: (2023)
Contextual Linear Optimization with Partial Feedback
por: Hu, Yichun, et al.
Publicado: (2024)
por: Hu, Yichun, et al.
Publicado: (2024)
On the Minimax Regret in Online Ranking with Top-k Feedback
por: Zhang, Mingyuan, et al.
Publicado: (2023)
por: Zhang, Mingyuan, et al.
Publicado: (2023)
An Asymptotically Optimal Algorithm for the Convex Hull Membership Problem
por: Qiao, Gang, et al.
Publicado: (2023)
por: Qiao, Gang, et al.
Publicado: (2023)
A Theoretical Framework for Partially Observed Reward-States in RLHF
por: Kausik, Chinmaya, et al.
Publicado: (2024)
por: Kausik, Chinmaya, et al.
Publicado: (2024)
Online Learning with Set-Valued Feedback
por: Raman, Vinod, et al.
Publicado: (2023)
por: Raman, Vinod, et al.
Publicado: (2023)
On the Parameter Identifiability of Partially Observed Linear Causal Models
por: Dong, Xinshuai, et al.
Publicado: (2024)
por: Dong, Xinshuai, et al.
Publicado: (2024)
Online Infinite-Dimensional Regression: Learning Linear Operators
por: Raman, Vinod, et al.
Publicado: (2023)
por: Raman, Vinod, et al.
Publicado: (2023)
Continuum Transformers Perform In-Context Learning by Operator Gradient Descent
por: Mishra, Abhiti, et al.
Publicado: (2025)
por: Mishra, Abhiti, et al.
Publicado: (2025)
Joint Registration and Conformal Prediction for Partially Observed Functional Data
por: Wang, Fangyi, et al.
Publicado: (2025)
por: Wang, Fangyi, et al.
Publicado: (2025)
Estimating Total Effects in Bipartite Experiments with Spillovers and Partial Eligibility
por: Tan, Albert, et al.
Publicado: (2025)
por: Tan, Albert, et al.
Publicado: (2025)
Training and Validating a Treatment Recommender with Partial Verification Evidence
por: Unnikrishnan, Vishnu, et al.
Publicado: (2024)
por: Unnikrishnan, Vishnu, et al.
Publicado: (2024)
Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time Generalization
por: Patel, Yash, et al.
Publicado: (2025)
por: Patel, Yash, et al.
Publicado: (2025)
A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs
por: Hong, Kihyuk, et al.
Publicado: (2025)
por: Hong, Kihyuk, et al.
Publicado: (2025)
On Next-Token Prediction in LLMs: How End Goals Determine the Consistency of Decoding Algorithms
por: Trauger, Jacob, et al.
Publicado: (2025)
por: Trauger, Jacob, et al.
Publicado: (2025)
Compute Aligned Training: Optimizing for Test Time Inference
por: Ousherovitch, Adam, et al.
Publicado: (2026)
por: Ousherovitch, Adam, et al.
Publicado: (2026)
From Partial Exchangeability to Predictive Probability: A Bayesian Perspective on Classification
por: Diniz, Marcio Alves
Publicado: (2025)
por: Diniz, Marcio Alves
Publicado: (2025)
Deep Partially Linear Transformation Model for Right-Censored Survival Data
por: Yin, Junkai, et al.
Publicado: (2024)
por: Yin, Junkai, et al.
Publicado: (2024)
Data Fusion for Partial Identification of Causal Effects
por: Lanners, Quinn, et al.
Publicado: (2025)
por: Lanners, Quinn, et al.
Publicado: (2025)
Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior
por: Zhang, Ruqian, et al.
Publicado: (2024)
por: Zhang, Ruqian, et al.
Publicado: (2024)
Online Classification with Predictions
por: Raman, Vinod, et al.
Publicado: (2024)
por: Raman, Vinod, et al.
Publicado: (2024)
Causal Inference on Networks under Misspecified Exposure Mappings: A Partial Identification Framework
por: Schröder, Maresa, et al.
Publicado: (2026)
por: Schröder, Maresa, et al.
Publicado: (2026)
Optimal Thresholding Linear Bandit
por: Rivera, Eduardo Ochoa, et al.
Publicado: (2024)
por: Rivera, Eduardo Ochoa, et al.
Publicado: (2024)
Online Conformal Prediction: Enforcing monotonicity via Online Optimization
por: Rivera, Eduardo Ochoa, et al.
Publicado: (2026)
por: Rivera, Eduardo Ochoa, et al.
Publicado: (2026)
Ejemplares similares
-
A Greedy PDE Router for Blending Neural Operators and Classical Methods
por: Rayan, Sahana, et al.
Publicado: (2025) -
Conformal Robust Control of Linear Systems
por: Patel, Yash, et al.
Publicado: (2024) -
Distribution-Free Robust Predict-Then-Optimize in Function Spaces
por: Patel, Yash, et al.
Publicado: (2026) -
On the Computational Complexity of Private High-dimensional Model Selection
por: Roy, Saptarshi, et al.
Publicado: (2023) -
Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation
por: Rivera, Eduardo Ochoa, et al.
Publicado: (2024)