Microfoundation Inference for Strategic Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Bracale, Daniele, Maity, Subha, Polo, Felipe Maia, Somerstep, Seamus, Banerjee, Moulinath, Sun, Yuekai |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Weak Supervision Performance Evaluation via Partial Identification
by: Polo, Felipe Maia, et al.
Published: (2023)
by: Polo, Felipe Maia, et al.
Published: (2023)
Learning the Distribution Map in Reverse Causal Performative Prediction
by: Bracale, Daniele, et al.
Published: (2024)
by: Bracale, Daniele, et al.
Published: (2024)
A transfer learning framework for weak-to-strong generalization
by: Somerstep, Seamus, et al.
Published: (2024)
by: Somerstep, Seamus, et al.
Published: (2024)
Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing
by: Das, Pramit, et al.
Published: (2025)
by: Das, Pramit, et al.
Published: (2025)
Online Price Competition under Generalized Linear Demands
by: Bracale, Daniele, et al.
Published: (2025)
by: Bracale, Daniele, et al.
Published: (2025)
Limitations of refinement methods for weak to strong generalization
by: Somerstep, Seamus, et al.
Published: (2025)
by: Somerstep, Seamus, et al.
Published: (2025)
Revenue Maximization Under Sequential Price Competition Via The Estimation Of s-Concave Demand Functions
by: Bracale, Daniele, et al.
Published: (2025)
by: Bracale, Daniele, et al.
Published: (2025)
Sloth: scaling laws for LLM skills to predict multi-benchmark performance across families
by: Polo, Felipe Maia, et al.
Published: (2024)
by: Polo, Felipe Maia, et al.
Published: (2024)
Dynamic Pricing in the Linear Valuation Model using Shape Constraints
by: Bracale, Daniele, et al.
Published: (2025)
by: Bracale, Daniele, et al.
Published: (2025)
Learning In Reverse Causal Strategic Environments With Ramifications on Two Sided Markets
by: Somerstep, Seamus, et al.
Published: (2024)
by: Somerstep, Seamus, et al.
Published: (2024)
A Latent Variable Framework for Scaling Laws in Large Language Models
by: Cai, Peiyao, et al.
Published: (2025)
by: Cai, Peiyao, et al.
Published: (2025)
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness
by: Somerstep, Seamus, et al.
Published: (2024)
by: Somerstep, Seamus, et al.
Published: (2024)
Learning to Choose or Choosing to Learn: Best-of-N vs. Supervised Fine-Tuning for Bit String Generation
by: Somerstep, Seamus, et al.
Published: (2025)
by: Somerstep, Seamus, et al.
Published: (2025)
Optimal Intervention for Self-triggering Spatial Networks with Application to Urban Crime Analytics
by: Das, Pramit, et al.
Published: (2025)
by: Das, Pramit, et al.
Published: (2025)
Robust inference for risk heterogeneity under group imbalance
by: Xu, Mengqi, et al.
Published: (2026)
by: Xu, Mengqi, et al.
Published: (2026)
Bridging Human and LLM Judgments: Understanding and Narrowing the Gap
by: Polo, Felipe Maia, et al.
Published: (2025)
by: Polo, Felipe Maia, et al.
Published: (2025)
Maximin Relative Improvement: Fair Learning as a Bargaining Problem
by: Han, Jiwoo, et al.
Published: (2026)
by: Han, Jiwoo, et al.
Published: (2026)
CARROT: A Cost Aware Rate Optimal Router
by: Somerstep, Seamus, et al.
Published: (2025)
by: Somerstep, Seamus, et al.
Published: (2025)
Estimation with missing not at random binary outcomes via exponential tilts
by: Maity, Subha
Published: (2025)
by: Maity, Subha
Published: (2025)
Parameter Estimation and Inference in a Continuous Piecewise Linear Regression Model
by: Hahn, Georg, et al.
Published: (2025)
by: Hahn, Georg, et al.
Published: (2025)
LLM-Powered CPI Prediction Inference with Online Text Time Series
by: Fan, Yingying, et al.
Published: (2025)
by: Fan, Yingying, et al.
Published: (2025)
Local Prediction-Powered Inference
by: Gu, Yanwu, et al.
Published: (2024)
by: Gu, Yanwu, et al.
Published: (2024)
Cross-Prediction-Powered Inference
by: Zrnic, Tijana, et al.
Published: (2023)
by: Zrnic, Tijana, et al.
Published: (2023)
Extending Prediction-Powered Inference through Conformal Prediction
by: Csillag, Daniel, et al.
Published: (2025)
by: Csillag, Daniel, et al.
Published: (2025)
Power Analysis for Prediction-Powered Inference
by: Chen, Yiqun T., et al.
Published: (2026)
by: Chen, Yiqun T., et al.
Published: (2026)
PPI++: Efficient Prediction-Powered Inference
by: Angelopoulos, Anastasios N., et al.
Published: (2023)
by: Angelopoulos, Anastasios N., et al.
Published: (2023)
Active Multiple-Prediction-Powered Inference
by: Brawand, Nicholas, et al.
Published: (2026)
by: Brawand, Nicholas, et al.
Published: (2026)
Online Tensor Inference
by: Wen, Xin, et al.
Published: (2023)
by: Wen, Xin, et al.
Published: (2023)
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear Regression
by: Wakayama, Tomoya
Published: (2024)
by: Wakayama, Tomoya
Published: (2024)
A Moment-Based Generalization to Post-Prediction Inference
by: Salerno, Stephen, et al.
Published: (2025)
by: Salerno, Stephen, et al.
Published: (2025)
Assumption-Lean and Data-Adaptive Post-Prediction Inference
by: Miao, Jiacheng, et al.
Published: (2023)
by: Miao, Jiacheng, et al.
Published: (2023)
New User Event Prediction Through the Lens of Causal Inference
by: Yuchi, Henry Shaowu, et al.
Published: (2024)
by: Yuchi, Henry Shaowu, et al.
Published: (2024)
Distribution-Free Predictive Inference under Unknown Temporal Drift
by: Han, Elise, et al.
Published: (2024)
by: Han, Elise, et al.
Published: (2024)
Generalized Prediction-Powered Inference, with Application to Binary Classifier Evaluation
by: Zou, Runjia, et al.
Published: (2026)
by: Zou, Runjia, et al.
Published: (2026)
Nonparametric Identification and Inference for Counterfactual Distributions with Confounding
by: Sun, Jianle, et al.
Published: (2026)
by: Sun, Jianle, et al.
Published: (2026)
A Semiparametric Approach to Causal Inference
by: Zhang, Archer Gong, et al.
Published: (2024)
by: Zhang, Archer Gong, et al.
Published: (2024)
Causal Inference Isn't Special: Why It's Just Another Prediction Problem
by: Fernández-Loría, Carlos
Published: (2025)
by: Fernández-Loría, Carlos
Published: (2025)
LASSO Inference for High Dimensional Predictive Regressions
by: Gao, Zhan, et al.
Published: (2024)
by: Gao, Zhan, et al.
Published: (2024)
Empirical Bayes Estimation with Side Information: A Nonparametric Integrative Tweedie Approach
by: Luo, Jiajun, et al.
Published: (2023)
by: Luo, Jiajun, et al.
Published: (2023)
Prediction De-Correlated Inference: A safe approach for post-prediction inference
by: Gan, Feng, et al.
Published: (2023)
by: Gan, Feng, et al.
Published: (2023)
Similar Items
-
Weak Supervision Performance Evaluation via Partial Identification
by: Polo, Felipe Maia, et al.
Published: (2023) -
Learning the Distribution Map in Reverse Causal Performative Prediction
by: Bracale, Daniele, et al.
Published: (2024) -
A transfer learning framework for weak-to-strong generalization
by: Somerstep, Seamus, et al.
Published: (2024) -
Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing
by: Das, Pramit, et al.
Published: (2025) -
Online Price Competition under Generalized Linear Demands
by: Bracale, Daniele, et al.
Published: (2025)