Guardado en:
| Autores principales: | Goldberg, Alexander, Fanti, Giulia, Shah, Nihar B. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2605.20069 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Principled Approach to Randomized Selection under Uncertainty: Applications to Peer Review and Grant Funding
por: Goldberg, Alexander, et al.
Publicado: (2025)
por: Goldberg, Alexander, et al.
Publicado: (2025)
Learning Unanimously Acceptable Lotteries via Queries
por: Choo, Davin, et al.
Publicado: (2026)
por: Choo, Davin, et al.
Publicado: (2026)
New Guarantees for Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffs
por: Balcan, Maria-Florina, et al.
Publicado: (2023)
por: Balcan, Maria-Florina, et al.
Publicado: (2023)
Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments
por: Goldberg, Alexander, et al.
Publicado: (2023)
por: Goldberg, Alexander, et al.
Publicado: (2023)
Smooth Quadratic Prediction Markets
por: Nueve, Enrique, et al.
Publicado: (2025)
por: Nueve, Enrique, et al.
Publicado: (2025)
Efficient Ensemble Selection from Binary and Pairwise Feedback
por: Neoh, Tzeh Yuan, et al.
Publicado: (2026)
por: Neoh, Tzeh Yuan, et al.
Publicado: (2026)
Protocols for Verifying Smooth Strategies in Bandits and Games
por: Christ, Miranda, et al.
Publicado: (2025)
por: Christ, Miranda, et al.
Publicado: (2025)
Profit Maximization in Bilateral Trade against a Smooth Adversary
por: Di Gregorio, Simone, et al.
Publicado: (2026)
por: Di Gregorio, Simone, et al.
Publicado: (2026)
Smoothed Elicitation Complexity for Approximate $Γ$-calibration of Discrete Classification Tasks
por: Finocchiaro, Jessica, et al.
Publicado: (2026)
por: Finocchiaro, Jessica, et al.
Publicado: (2026)
Partially Observable Stochastic Games with Neural Perception Mechanisms
por: Yan, Rui, et al.
Publicado: (2023)
por: Yan, Rui, et al.
Publicado: (2023)
On Randomized Algorithms in Online Strategic Classification
por: Hutton, Chase, et al.
Publicado: (2026)
por: Hutton, Chase, et al.
Publicado: (2026)
Optimal Scoring Rule Design under Partial Knowledge
por: Chen, Yiling, et al.
Publicado: (2021)
por: Chen, Yiling, et al.
Publicado: (2021)
Stable Matching with Ties: Approximation Ratios and Learning
por: Lin, Shiyun, et al.
Publicado: (2024)
por: Lin, Shiyun, et al.
Publicado: (2024)
Understanding Model Selection For Learning In Strategic Environments
por: Handina, Tinashe, et al.
Publicado: (2024)
por: Handina, Tinashe, et al.
Publicado: (2024)
Fair Lotteries for Participatory Budgeting
por: Aziz, Haris, et al.
Publicado: (2024)
por: Aziz, Haris, et al.
Publicado: (2024)
Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models
por: Fang, Zeyu, et al.
Publicado: (2024)
por: Fang, Zeyu, et al.
Publicado: (2024)
Algorithmic Robust Forecast Aggregation
por: Guo, Yongkang, et al.
Publicado: (2024)
por: Guo, Yongkang, et al.
Publicado: (2024)
Towards Performatively Stable Equilibria in Decision-Dependent Games for Arbitrary Data Distribution Maps
por: Zhong, Guangzheng, et al.
Publicado: (2025)
por: Zhong, Guangzheng, et al.
Publicado: (2025)
The Metric Distortion of Randomized Social Choice Functions: C1 Maximal Lottery Rules and Simulations
por: Frank, Fabian, et al.
Publicado: (2024)
por: Frank, Fabian, et al.
Publicado: (2024)
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning
por: Cai, Huaiguang
Publicado: (2024)
por: Cai, Huaiguang
Publicado: (2024)
Model Selection for Average Reward RL with Application to Utility Maximization in Repeated Games
por: Masoumian, Alireza, et al.
Publicado: (2024)
por: Masoumian, Alireza, et al.
Publicado: (2024)
Data as Voters: Core Set Selection Using Approval-Based Multi-Winner Voting
por: Sánchez-Fernández, Luis, et al.
Publicado: (2023)
por: Sánchez-Fernández, Luis, et al.
Publicado: (2023)
In This Apportionment Lottery, the House Always Wins
por: Gölz, Paul, et al.
Publicado: (2022)
por: Gölz, Paul, et al.
Publicado: (2022)
Smooth Nash Equilibria: Algorithms and Complexity
por: Daskalakis, Constantinos, et al.
Publicado: (2023)
por: Daskalakis, Constantinos, et al.
Publicado: (2023)
Partially Observable Multi-Agent Reinforcement Learning with Information Sharing
por: Liu, Xiangyu, et al.
Publicado: (2023)
por: Liu, Xiangyu, et al.
Publicado: (2023)
Repeated Bilateral Trade Against a Smoothed Adversary
por: Cesa-Bianchi, Nicolò, et al.
Publicado: (2023)
por: Cesa-Bianchi, Nicolò, et al.
Publicado: (2023)
Proportional Fairness in Non-Centroid Clustering
por: Caragiannis, Ioannis, et al.
Publicado: (2024)
por: Caragiannis, Ioannis, et al.
Publicado: (2024)
Used Car Salesbots? Honesty and Credulity of LLMs as Bargaining Agents under Partial Information
por: Miceli-Barone, Antonio Valerio, et al.
Publicado: (2026)
por: Miceli-Barone, Antonio Valerio, et al.
Publicado: (2026)
Fixed Point Computation: Beating Brute Force with Smoothed Analysis
por: Attias, Idan, et al.
Publicado: (2025)
por: Attias, Idan, et al.
Publicado: (2025)
Bayesian Algorithms for Adversarial Online Learning: from Finite to Infinite Action Spaces
por: Terenin, Alexander, et al.
Publicado: (2025)
por: Terenin, Alexander, et al.
Publicado: (2025)
Independent Learning of Nash Equilibria in Partially Observable Markov Potential Games with Decoupled Dynamics
por: Jordan, Philip, et al.
Publicado: (2026)
por: Jordan, Philip, et al.
Publicado: (2026)
Stackelberg vs. Nash in the Lottery Colonel Blotto Game
por: Liu, Yan, et al.
Publicado: (2024)
por: Liu, Yan, et al.
Publicado: (2024)
Candidate Monotonicity and Proportionality for Lotteries and Non-Resolute Rules
por: Peters, Jannik
Publicado: (2024)
por: Peters, Jannik
Publicado: (2024)
Randomized Truthful Auctions with Learning Agents
por: Aggarwal, Gagan, et al.
Publicado: (2024)
por: Aggarwal, Gagan, et al.
Publicado: (2024)
Carry-Over Lottery Allocation: Practical Incentive-Compatible Drafts
por: Highley, Timothy, et al.
Publicado: (2026)
por: Highley, Timothy, et al.
Publicado: (2026)
Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities
por: Emmanouilidis, Konstantinos, et al.
Publicado: (2024)
por: Emmanouilidis, Konstantinos, et al.
Publicado: (2024)
Alternates, Assemble! Selecting Optimal Alternates for Citizens' Assemblies
por: Assos, Angelos, et al.
Publicado: (2025)
por: Assos, Angelos, et al.
Publicado: (2025)
On Separation Between Best-Iterate, Random-Iterate, and Last-Iterate Convergence of Learning in Games
por: Cai, Yang, et al.
Publicado: (2025)
por: Cai, Yang, et al.
Publicado: (2025)
Optimal bounds for dissatisfaction in perpetual voting
por: Kozachinskiy, Alexander, et al.
Publicado: (2024)
por: Kozachinskiy, Alexander, et al.
Publicado: (2024)
Federated Learning for Data Market: Shapley-UCB for Seller Selection and Incentives
por: Chen, Kongyang, et al.
Publicado: (2024)
por: Chen, Kongyang, et al.
Publicado: (2024)
Ejemplares similares
-
A Principled Approach to Randomized Selection under Uncertainty: Applications to Peer Review and Grant Funding
por: Goldberg, Alexander, et al.
Publicado: (2025) -
Learning Unanimously Acceptable Lotteries via Queries
por: Choo, Davin, et al.
Publicado: (2026) -
New Guarantees for Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffs
por: Balcan, Maria-Florina, et al.
Publicado: (2023) -
Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments
por: Goldberg, Alexander, et al.
Publicado: (2023) -
Smooth Quadratic Prediction Markets
por: Nueve, Enrique, et al.
Publicado: (2025)