Papers
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs
Yogesh Balaji, Hamed Hassani, Rama Chellappa et al.
Equivariant Transformer Networks
Kai Sheng Tai, Peter Bailis, Gregory Valiant
Error Feedback Fixes SignSGD and other Gradient Compression Schemes
Sai Praneeth Karimireddy, Quentin Rebjock, Sebastian Stich et al.
Escaping Saddle Points with Adaptive Gradient Methods
Matthew Staib, Sashank Reddi, Satyen Kale et al.
Estimate Sequences for Variance-Reduced Stochastic Composite Optimization
Andrei Kulunchakov, Julien Mairal
Estimating Information Flow in Deep Neural Networks
Ziv Goldfeld, Ewout Van Den Berg, Kristjan Greenewald et al.
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation
Marco Ancona, Cengiz Oztireli, Markus Gross
Exploiting structure of uncertainty for efficient matroid semi-bandits
Pierre Perrault, Vianney Perchet, Michal Valko
Exploiting Worker Correlation for Label Aggregation in Crowdsourcing
Yuan Li, Benjamin Rubinstein, Trevor Cohn
Exploration Conscious Reinforcement Learning Revisited
Lior Shani, Yonathan Efroni, Shie Mannor
Exploring interpretable LSTM neural networks over multi-variable data
Tian Guo, Tao Lin, Nino Antulov-Fantulin
Exploring the Landscape of Spatial Robustness
Logan Engstrom, Brandon Tran, Dimitris Tsipras et al.
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations
Daniel Brown, Wonjoon Goo, Prabhat Nagarajan et al.
Fair k-Center Clustering for Data Summarization
Matthäus Kleindessner, Pranjal Awasthi, Jamie Morgenstern
Fairness-Aware Learning for Continuous Attributes and Treatments
Jeremie Mary, Clément Calauzènes, Noureddine El Karoui
Fairness risk measures
Robert Williamson, Aditya Menon
Fairness without Harm: Decoupled Classifiers with Preference Guarantees
Berk Ustun, Yang Liu, David Parkes
Fair Regression: Quantitative Definitions and Reduction-Based Algorithms
Alekh Agarwal, Miroslav Dudik, Zhiwei Steven Wu
Fairwashing: the risk of rationalization
Ulrich Aivodji, Hiromi Arai, Olivier Fortineau et al.
Fast Algorithm for Generalized Multinomial Models with Ranking Data
Jiaqi Gu, Guosheng Yin
Fast and Flexible Inference of Joint Distributions from their Marginals
Charlie Frogner, Tomaso Poggio
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations
Wu Lin, Mohammad Emtiyaz Khan, Mark Schmidt
Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models
Chenyang Zhang, Guosheng Yin
Fast Context Adaptation via Meta-Learning
Luisa Zintgraf, Kyriacos Shiarli, Vitaly Kurin et al.