Optimization
Average Individual Fairness: Algorithms, Generalization and Experiments
Saeed Sharifi-Malvajerdi, Michael Kearns, Aaron Roth
The community studying fairness in machine learning has yet to settle on definitions.
Interactive Control of Diverse Complex Characters with Neural Networks
Igor Mordatch, Kendall Lowrey, Galen Andrew, Zoran Popovic, Emanuel V. Todorov
Neural Information Processing Systems http://nips.cc/
A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses
In this paper, we propose a game-theoretic framework for studying attacks and defenses which exist in equilibrium.
Optimal Sketching for Kronecker Product Regression and Low Rank Approximation
Huaian Diao, Rajesh Jayaram, Zhao Song, Wen Sun, David Woodruff
We study the Kronecker product regression problem, in which the design matrix is a Kronecker product of two or more matrices.
Contextual Reserve Price Optimization in Auctions via Mixed-Integer Programming
Moreover, we show that this MIP formulation is ideal (i.e. the strongest
Learning Macroscopic Brain Connectomes via Group-Sparse Factorization
Farzane Aminmansour, Andrew Patterson, Lei Le, Yisu Peng, Daniel Mitchell, Franco Pestilli, Cesar F. Caiafa, Russell Greiner, Martha White
A data-driven approach, however, could overcome limitations in such rule-based approaches and improve precision mappings for individuals.