Papers
Explanations for Monotonic Classifiers.
Joao Marques-Silva, Thomas Gerspacher, Martin C Cooper et al.
Exploiting Shared Representations for Personalized Federated Learning
Liam Collins, Hamed Hassani, Aryan Mokhtari et al.
Exploiting structured data for learning contagious diseases under incomplete testing
Maggie Makar, Lauren West, David Hooper et al.
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
Luisa M Zintgraf, Leo Feng, Cong Lu et al.
Explore Visual Concept Formation for Image Classification
Shengzhou Xiong, Yihua Tan, Guoyou Wang
Exponentially Many Local Minima in Quantum Neural Networks
Xuchen You, Xiaodi Wu
Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics
Arkopal Dutt, Andrey Lokhov, Marc D Vuffray et al.
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks
Xin Zhao, Zeru Zhang, Zijie Zhang et al.
Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction
Aditi Jha, Michael J. Morais, Jonathan W Pillow
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees
L. Elisa Celis, Lingxiao Huang, Vijay Keswani et al.
Fairness and Bias in Online Selection
Jose Correa, Andres Cristi, Paul Duetting et al.
Fairness for Image Generation with Uncertain Sensitive Attributes
Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann et al.
Fairness of Exposure in Stochastic Bandits
Lequn Wang, Yiwei Bai, Wen Sun et al.
Fair Selective Classification Via Sufficiency
Joshua K Lee, Yuheng Bu, Deepta Rajan et al.
Fast active learning for pure exploration in reinforcement learning
Pierre Menard, Omar Darwiche Domingues, Anders Jonsson et al.
Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss
Jiali Wang, He Chen, Rujun Jiang et al.
Faster Kernel Matrix Algebra via Density Estimation
Arturs Backurs, Piotr Indyk, Cameron Musco et al.
Fast margin maximization via dual acceleration
Ziwei Ji, Nathan Srebro, Matus Telgarsky
Fast Projection Onto Convex Smooth Constraints
Ilnura Usmanova, Maryam Kamgarpour, Andreas Krause et al.
Fast Sketching of Polynomial Kernels of Polynomial Degree
Zhao Song, David Woodruff, Zheng Yu et al.
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction
Radu Alexandru Dragomir, Mathieu Even, Hadrien Hendrikx
f-Domain Adversarial Learning: Theory and Algorithms
David Acuna, Guojun Zhang, Marc T. Law et al.
Feature Clustering for Support Identification in Extreme Regions
Hamid Jalalzai, Rémi Leluc
Federated Composite Optimization
Honglin Yuan, Manzil Zaheer, Sashank Reddi