Accepted presentations

Trustworthy Collaborative Learning with Untrusted Participants (Youssef Allouah, Rachid Guerraoui, John Stephan)

Collaborative Prediction: Tractable Information Aggregation via Agreement (Natalie Collina, Ira Globus-Harris, Surbhi Goel, Varun Gupta, Aaron Roth, Mirah Shi)

Learning from errors: a mechanism design approach for improving model performance (Ana-Andreea Stoica, Moritz Hardt, Celestine Mendler-Duenner)

Platforms for Efficient and Incentive-Aware Collaboration (Nika Haghtalab, Mingda Qiao, Kunhe Yang)

Fair Revenue Compensation in Data Markets (Nathan Joseph, Jiaxin Song, Bhaskar Ray Chaudhury)

Algorithmic Collective Action with Noise and Multiple Groups (Aditya Karan; Nicholas Vincent; Karrie Karahalios; Hari Sundaram)

Counterfactual Explanation of Shapley Value in Data Coalitions (Michelle Si, Jian Pei)

Differentially Private Distributed Inference (Marios Papachristou, M. Amin Rahimian)

User Altruism in Recommendation Systems (Ekaterina Fedorova, Madeline Kitch, Chara Podimata)

Algorithmic Collective Action with Noise and Multiple Groups (Aditya Karan; Nicholas Vincent; Karrie Karahalios; Hari Sundaram)

Metritocracy: Representative Metrics for Lite Benchmarks (Ariel D. Procaccia, Benjamin Schiffer, Serena Wang, Shirley Zhang)

Toward Resource Rational Dataset Search Interfaces (Danni Liu)

Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty (Valia Efthymiou, Juba Ziani, Sen Diptansghu, Chara Podimata)

Persuasive Prediction via Decision Calibration (Jingwu Tang*, Jiahao Zhang*, Fei Fang, Zhiwei Steven Wu)

Fine-tuning games and the effects of regulation (Benjamin Laufer, Jon Kleinberg, Hoda Heidari)

Strategic Selection and Manipulation in Imperfect Risk Models (Jivat Neet Kaur, Divya Shanmugam, Emma Pierson, Michael I. Jordan, Serena Wang, Ahmed Alaa)

Pessimism Traps and Algorithmic Interventions (Avrim Blum, Emily Diana, Kavya Ravichandran, Alexander Williams Tolbert)

Equilibrium Pricing for Data Markets: Addressing Competition with Nash Equilibria (Pooja Kulkarni, Parnian Shahkar, Ruta Mehta)

Audits Under Resource and Information Constraints: Scaling Laws for Fairness Pareto Frontiers (Sarah H. Cen, Salil Goyal, Zaynah Javed, Ananya Karthik, Percy Liang, Daniel E. Ho)

Towards Incentivizing Truthful Collaboration in Heterogeneous Federated Learning (Dimitar Chakarov, Nikita Tsoy, Kristian Minchev, Nikola Konstantinov)

On the Existence and Complexity of Core-Stable Data Exchanges (Jiaxin Song, Pooja Kulkarni, Parnian Shahkar, Bhaskar Ray Chaudhury)

Regulation of Algorithmic Collusion, Refined: Testing Pessimistic Calibrated Regret (Jason D. Hartline, Chang Wang, Chenhao Zhang)

Credit Attribution and Stable Compression (Roi Livni, Shay Moran, Kobbi Nissim, Chirag Pabbaraju)

Content Evaluation Under Conformity Incentives in Social Media (Yeganeh Alimohammadi, Christian Borgs, Jennifer Chayes, Karissa Huang)

Differentially Private Mechanism Design via Quantile Estimation (Yuanyuan Yang, Tao Xiao, Bhuvesh Kumar, Jamie Heather Morgenstern)

How to Sell Signals (Vitalii Tubdenov)

Dimension-Free Decision Calibration for Nonlinear Loss Functions (Jingwu Tang, Jiayun Wu, Zhiwei Steven Wu, Jiahao Zhang)

Incentives in Federated Learning with Heterogeneous Agents (Ariel D. Procaccia, Han Shao, Itai Shapira)

Verify, Don’t Trust (Lilia Tang, Bing-Jyue Chen, Daniel Kang)

How Reliable is Language Model Micro-Benchmarking? (Gregory Yauney, Shahzaib Saqib Warraich, Swabha Swayamdipta)

Strategic Hypothesis Testing (Safwan Hossain, Yatong Chen, Yiling Chen)

Optimizing Bidding Strategies in First-Price Auctions in Binary Feedback Setting with  Predictions (Jason Tandiary)

Formation or Information? The Regimes of Data Property Rights Protection (Yichen Huang, Zhen Sun, Xinzhen Xu, Bozhong Zheng)

You Get What You Give: Reciprocally Fair Federated Learning (Aniket Murhekar, Jiaxin Song, Parnian Shahkar, Bhaskar Ray Chaudhury, Ruta Mehta)

Meta-learning piecewise-Lipschitz functions (Maria-Florina Balcan, Mikhail Khodak, Dravyansh Sharma, Ameet Talwalkar)

A Cramér-von Mises Approach to Incentivizing Truthful Data Sharing (Alex Clinton, Thomas Zeng, Yiding Chen, Xiaojin Zhu, Kirthevasan Kandasamy)

Data Pricing via Competitive Equilibrium (Bhaskar Ray Chaudhury, Jugal Garg, Aniket Murhekar, Jiaxin Song)

Sharp Results for Hypothesis Testing with Risk-Sensitive Agents (Flora C. Shi, Stephen Bates, Martin J. Wainwright)

Robust Data Watermarking in Language Models via Injecting Fictitious Knowledge (Xinyue Cui, Johnny Wei, Robin Jia, Swabha Swayamdipta)

Modulating collaboration levels in federated learning to mitigate malicious participants (Youssef Allouah, Rachid Guerraoui, John Stephan)

VTruST: Controllable value function based subset selection for Data-Centric Trustworthy AI (Soumi Das, Shubhadip Nag, Shreyyash Sharma, Suparna Bhattacharya, Sourangshu Bhattacharya)

Proper Dataset Valuation by Pointwise Mutual Information (Shuran Zheng, Xuan Qi, Rui Chen, Yongchan Kwon, James Zou)