21 citations · 46 across the 39 of their papers we have counts for
10 papers · 1 filter
Fixed Points and Stochastic Meritocracies: A Long-Term Perspective
Gaurab Pokharel, Diptangshu Sen, Sanmay Das +1
We study group fairness in the context of feedback loops induced by meritocratic selection into programs that themselves confer additional advantage, like college admissions. We in…
Finding a Multiple Follower Stackelberg Equilibrium: A Fully First-Order Method
April Niu, Kai Wang, Juba Ziani
In this work, we propose the first fully first-order method to compute an epsilon stationary Stackelberg equilibrium with convergence guarantees. To achieve this, we first reframe…
GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation
Krishna Acharya, Aleksandr V. Petrov, Juba Ziani
We propose Generative Low-rank language model with Semantic Search (GLoSS), a generative recommendation framework that combines large language models with dense retrieval for seque…
The Disparate Effects of Partial Information in Bayesian Strategic Learning
Srikanth Avasarala, Serena Wang, Juba Ziani
We study how partial information about scoring rules affects fairness in strategic learning settings. In strategic learning, a learner deploys a scoring rule, and agents respond st…
Optimal Allocation of Privacy Budget on Hierarchical Data Release
Joonhyuk Ko, Juba Ziani, Ferdinando Fioretto
Releasing useful information from datasets with hierarchical structures while preserving individual privacy presents a significant challenge. Standard privacy-preserving mechanisms…
KL-regularization Itself is Differentially Private in Bandits and RLHF
Yizhou Zhang, Kishan Panaganti, Laixi Shi +2
Differential Privacy (DP) provides a rigorous framework for privacy, ensuring the outputs of data-driven algorithms remain statistically indistinguishable across datasets that diff…
Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty
Valia Efthymiou, Chara Podimata, Diptangshu Sen +1
We study strategic classification in binary decision-making settings where agents can modify their features in order to improve their classification outcomes. Importantly, our work…
Last-iterate Convergence for Symmetric, General-sum, Games Under The Exponential Weights Dynamic
Guanghui Wang, Krishna Acharya, Lokranjan Lakshmikanthan +2
We conduct a comprehensive analysis of the discrete-time exponential-weights dynamic with a constant step size on all general-sum and symmetric normal-form games, i.e.…
When Should a Principal Delegate to an Agent in Selection Processes?
Benjamin Fish, Diptangshu Sen, Juba Ziani
Decision-makers in high-stakes selection processes often face a fundamental choice: whether to make decisions themselves or to delegate authority to another entity whose incentives…
The Cost of Balanced Training-Data Production in an Online Data Market
Augustin Chaintreau, Roland Maio, Juba Ziani
Many ethical issues in machine learning are connected to the training data. Online data markets are an important source of training data, facilitating both production and distribut…