Saved in:
| Main Authors: | Karimzadeh, Aigin, Zakery, Amir, Mohammadi, Mohammadreza, Yavari, Ali |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.05949 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
No-regret incentive-compatible online learning under exact truthfulness with non-myopic experts
by: Komiyama, Junpei, et al.
Published: (2025)
by: Komiyama, Junpei, et al.
Published: (2025)
On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: A regret lower bound for WSU-UX
by: Mortazavi, Ali, et al.
Published: (2024)
by: Mortazavi, Ali, et al.
Published: (2024)
Group-wise oracle-efficient algorithms for online multi-group learning
by: Deng, Samuel, et al.
Published: (2024)
by: Deng, Samuel, et al.
Published: (2024)
Predicting human decisions with behavioral theories and machine learning
by: Plonsky, Ori, et al.
Published: (2019)
by: Plonsky, Ori, et al.
Published: (2019)
Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning
by: Sharma, Dravyansh, et al.
Published: (2025)
by: Sharma, Dravyansh, et al.
Published: (2025)
Semivalue-based data valuation is arbitrary and gameable
by: Diehl, Hannah, et al.
Published: (2025)
by: Diehl, Hannah, et al.
Published: (2025)
A pragmatic policy learning approach to account for users' fatigue in repeated auctions
by: Heymann, Benjamin, et al.
Published: (2024)
by: Heymann, Benjamin, et al.
Published: (2024)
Sink equilibria and the attractors of learning in games
by: Biggar, Oliver, et al.
Published: (2025)
by: Biggar, Oliver, et al.
Published: (2025)
High dimensional online calibration in polynomial time
by: Peng, Binghui
Published: (2025)
by: Peng, Binghui
Published: (2025)
Improved learning rates in multi-unit uniform price auctions
by: Potfer, Marius, et al.
Published: (2025)
by: Potfer, Marius, et al.
Published: (2025)
Game of arrivals at a two queue network with heterogeneous customer routes
by: Bandyopadhyay, Agniv, et al.
Published: (2023)
by: Bandyopadhyay, Agniv, et al.
Published: (2023)
On the Convergence of Federated Learning Algorithms without Data Similarity
by: Beikmohammadi, Ali, et al.
Published: (2024)
by: Beikmohammadi, Ali, et al.
Published: (2024)
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes
by: Lei, Qi, et al.
Published: (2020)
by: Lei, Qi, et al.
Published: (2020)
C2:Cross learning module enhanced decision transformer with Constraint-aware loss for auto-bidding
by: Ding, Jinren, et al.
Published: (2026)
by: Ding, Jinren, et al.
Published: (2026)
Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems
by: Yuwono, Steve, et al.
Published: (2024)
by: Yuwono, Steve, et al.
Published: (2024)
Ordinal Potential-based Player Rating
by: Vadori, Nelson, et al.
Published: (2023)
by: Vadori, Nelson, et al.
Published: (2023)
Bayesian Strategic Classification
by: Cohen, Lee, et al.
Published: (2024)
by: Cohen, Lee, et al.
Published: (2024)
ShapG: new feature importance method based on the Shapley value
by: Zhao, Chi, et al.
Published: (2024)
by: Zhao, Chi, et al.
Published: (2024)
Data Trading Combination Auction Mechanism based on the Exponential Mechanism
by: Chen, Kongyang, et al.
Published: (2024)
by: Chen, Kongyang, et al.
Published: (2024)
Intelligent Agents for Auction-based Federated Learning: A Survey
by: Tang, Xiaoli, et al.
Published: (2024)
by: Tang, Xiaoli, et al.
Published: (2024)
Autobidding Arena: unified evaluation of the classical and RL-based autobidding algorithms
by: Pudovikov, Andrey, et al.
Published: (2025)
by: Pudovikov, Andrey, et al.
Published: (2025)
Unending Sequential Auctions
by: Ban, Amir
Published: (2025)
by: Ban, Amir
Published: (2025)
Adaptive Two-sided Assortment Optimization: Revenue Maximization
by: Ahmadnejadsaein, Mohammadreza, et al.
Published: (2025)
by: Ahmadnejadsaein, Mohammadreza, et al.
Published: (2025)
A Hybrid Game-Theory and Deep Learning Framework for Predicting Tourist Arrivals via Big Data Analytics and Opinion Leader Detection
by: Nikseresht, Ali
Published: (2025)
by: Nikseresht, Ali
Published: (2025)
A game-theoretic approach for Generative Adversarial Networks
by: Franci, Barbara, et al.
Published: (2020)
by: Franci, Barbara, et al.
Published: (2020)
The Bounds of Algorithmic Collusion; $Q$-learning, Gradient Learning, and the Folk Theorem
by: Askenazi-Golan, Galit, et al.
Published: (2024)
by: Askenazi-Golan, Galit, et al.
Published: (2024)
An improved bound for the price of anarchy for related machine scheduling
by: Berger, Andre, et al.
Published: (2024)
by: Berger, Andre, et al.
Published: (2024)
Personalized Dynamic Pricing Policy for Electric Vehicles: Reinforcement learning approach
by: Bae, Sangjun, et al.
Published: (2024)
by: Bae, Sangjun, et al.
Published: (2024)
Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems
by: Yuwono, Steve, et al.
Published: (2024)
by: Yuwono, Steve, et al.
Published: (2024)
Almost Envy-free Allocation of Indivisible Goods: A Tale of Two Valuations
by: Kaviani, Alireza, et al.
Published: (2024)
by: Kaviani, Alireza, et al.
Published: (2024)
Human Choice Prediction in Language-based Persuasion Games: Simulation-based Off-Policy Evaluation
by: Shapira, Eilam, et al.
Published: (2023)
by: Shapira, Eilam, et al.
Published: (2023)
Computational bounds on randomized algorithms for online bin stretching
by: Lhomme, Antoine, et al.
Published: (2024)
by: Lhomme, Antoine, et al.
Published: (2024)
The Oracle Complexity of Simplex-based Matrix Games
by: Kornowski, Guy, et al.
Published: (2024)
by: Kornowski, Guy, et al.
Published: (2024)
On the Impact of the Utility in Semivalue-based Data Valuation
by: Tamine, Mélissa, et al.
Published: (2025)
by: Tamine, Mélissa, et al.
Published: (2025)
Selling Information in Competitive Environments
by: Bonatti, Alessandro, et al.
Published: (2022)
by: Bonatti, Alessandro, et al.
Published: (2022)
An Auction-based Marketplace for Model Trading in Federated Learning
by: Cui, Yue, et al.
Published: (2024)
by: Cui, Yue, et al.
Published: (2024)
Measuring productivity in networks: A game-theoretic approach
by: Allouch, N., et al.
Published: (2024)
by: Allouch, N., et al.
Published: (2024)
Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification
by: Lv, Xinpeng, et al.
Published: (2025)
by: Lv, Xinpeng, et al.
Published: (2025)
Blind Inverse Game Theory: Jointly Decoding Rewards and Rationality in Entropy-Regularized Competitive Games
by: Virk, Hamza, et al.
Published: (2025)
by: Virk, Hamza, et al.
Published: (2025)
Zeroth-Order Stackelberg Control in Combinatorial Congestion Games
by: Masiha, Saeed, et al.
Published: (2026)
by: Masiha, Saeed, et al.
Published: (2026)
Similar Items
-
No-regret incentive-compatible online learning under exact truthfulness with non-myopic experts
by: Komiyama, Junpei, et al.
Published: (2025) -
On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: A regret lower bound for WSU-UX
by: Mortazavi, Ali, et al.
Published: (2024) -
Group-wise oracle-efficient algorithms for online multi-group learning
by: Deng, Samuel, et al.
Published: (2024) -
Predicting human decisions with behavioral theories and machine learning
by: Plonsky, Ori, et al.
Published: (2019) -
Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning
by: Sharma, Dravyansh, et al.
Published: (2025)