Cover Image

Isotonic Mechanism for Exponential Family Estimation in Machine Learning Peer Review

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yan, Yuling, Su, Weijie J., Fan, Jianqing
Format:	Preprint
Published:	2023
Subjects:	Statistics Theory Computer Science and Game Theory Machine Learning Theoretical Economics Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

You Are the Best Reviewer of Your Own Papers: The Isotonic Mechanism
by: Su, Weijie
Published: (2022)

An Isotonic Mechanism for Overlapping Ownership
by: Wu, Jibang, et al.
Published: (2023)

Statistical Impossibility and Possibility of Aligning LLMs with Human Preferences: From Condorcet Paradox to Nash Equilibrium
by: Liu, Kaizhao, et al.
Published: (2025)

Beyond Regularity: Simple versus Optimal Mechanisms, Revisited
by: Feng, Yiding, et al.
Published: (2024)

Networked Information Aggregation via Machine Learning
by: Kearns, Michael, et al.
Published: (2025)

Buying Data of Unknown Quality: Fisher Information Procurement Auctions
by: Hu, Yuchen, et al.
Published: (2026)

Fair Allocation in Dynamic Mechanism Design
by: Fallah, Alireza, et al.
Published: (2024)

An Axiomatic Foundation for Decisions with Counterfactual Utility
by: Koch, Benedikt, et al.
Published: (2026)

Deep Learning for Double Auction
by: Liu, Jiayin, et al.
Published: (2025)

Randomized Truthful Auctions with Learning Agents
by: Aggarwal, Gagan, et al.
Published: (2024)

Multiplayer Bandit Learning, from Competition to Cooperation
by: Brânzei, Simina, et al.
Published: (2019)

Learning to Coordinate Bidders in Non-Truthful Auctions
by: Fu, Hu, et al.
Published: (2025)

From No-Regret to Strategically Robust Learning in Repeated Auctions
by: Zhao, Junyao
Published: (2026)

Learning to Play Multi-Follower Bayesian Stackelberg Games
by: Personnat, Gerson, et al.
Published: (2025)

Persuading a Behavioral Agent: Approximately Best Responding and Learning
by: Chen, Yiling, et al.
Published: (2023)

The Bounds of Algorithmic Collusion; $Q$-learning, Gradient Learning, and the Folk Theorem
by: Askenazi-Golan, Galit, et al.
Published: (2024)

Peer Selection with Friends and Enemies
by: Bloch, Francis, et al.
Published: (2025)

Persuasion Gains and Losses from Peer Communication
by: Kerman, Toygar T., et al.
Published: (2025)

Paid with Models: Optimal Contract Design for Collaborative Machine Learning
by: Wang, Bingchen, et al.
Published: (2024)

Response Time Enhances Alignment with Heterogeneous Preferences
by: Echenique, Federico, et al.
Published: (2026)

A Linear Theory of Multi-Winner Voting
by: Xia, Lirong
Published: (2025)

Welfare, Improvability, and Variance: A Principal-Agent Approach to Optimal Benchmark Item Aggregation
by: Haupt, Andreas, et al.
Published: (2026)

How Humans Help LLMs: Assessing and Incentivizing Human Preference Annotators
by: Liu, Shang, et al.
Published: (2025)

Revisiting Fairness Impossibility with Endogenous Behavior
by: Penn, Elizabeth Maggie, et al.
Published: (2026)

Algorithmic Collusion Without Threats
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2024)

Exploration and Persuasion
by: Slivkins, Aleksandrs
Published: (2024)

Competing Bandits: The Perils of Exploration Under Competition
by: Aridor, Guy, et al.
Published: (2020)

Swim till You Sink: Computing the Limit of a Game
by: Hakim, Rashida, et al.
Published: (2024)

Emergent Alignment via Competition
by: Collina, Natalie, et al.
Published: (2025)

Online Assortment and Price Optimization Under Contextual Choice Models
by: Erginbas, Yigit Efe, et al.
Published: (2025)

Networked Information Aggregation for Binary Classification
by: Bateni, MohammadHossein, et al.
Published: (2026)

"Calibeating": Beating Forecasters at Their Own Game
by: Foster, Dean P., et al.
Published: (2022)

How to Sell High-Dimensional Data Optimally
by: Li, Andrew, et al.
Published: (2025)

Rank-Guaranteed Auctions
by: He, Wei, et al.
Published: (2024)

On the Weighted Top-Difference Distance: Axioms, Aggregation, and Approximation
by: Aveni, Andrea, et al.
Published: (2024)

Statistical Discrimination in Ratings-Guided Markets
by: Che, Yeon-Koo, et al.
Published: (2020)

Recommending Best Paper Awards for ML/AI Conferences via the Isotonic Mechanism
by: Wen, Garrett G., et al.
Published: (2026)

Non-Monetary Mechanism Design without Priors: Achieving Efficiency via Adaptive Costly Audits
by: Dai, Yan, et al.
Published: (2025)

Deterministic Refund Mechanisms
by: Alaei, Saeed, et al.
Published: (2025)

Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games
by: Yan, Yuling, et al.
Published: (2022)