firstbacksecondback
Filter by Keyword:
760 Results
Poster
|
Thu 17:00 |
Average Individual Fairness: Algorithms, Generalization and Experiments Saeed Sharifi-Malvajerdi · Michael Kearns · Aaron Roth |
|
Poster
|
Tue 10:45 |
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks Ruben Villegas · Arkanath Pathak · Harini Kannan · Dumitru Erhan · Quoc V Le · Honglak Lee |
|
Poster
|
Thu 10:45 |
Optimizing Generalized Rate Metrics with Three Players Harikrishna Narasimhan · Andrew Cotter · Maya Gupta |
|
Poster
|
Thu 10:45 |
Variance Reduction for Matrix Games Yair Carmon · Yujia Jin · Aaron Sidford · Kevin Tian |
|
Poster
|
Wed 17:00 |
On Making Stochastic Classifiers Deterministic Andrew Cotter · Maya Gupta · Harikrishna Narasimhan |
|
Poster
|
Thu 17:00 |
On Robustness of Principal Component Regression Anish Agarwal · Devavrat Shah · Dennis Shen · Dogyoon Song |
|
Poster
|
Thu 17:00 |
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses Ananya Uppal · Shashank Singh · Barnabas Poczos |
|
Poster
|
Tue 10:45 |
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input Maxence Ernoult · Julie Grollier · Damien Querlioz · Yoshua Bengio · Benjamin Scellier |
|
Poster
|
Tue 10:45 |
Logarithmic Regret for Online Control Naman Agarwal · Elad Hazan · Karan Singh |
|
Poster
|
Wed 10:45 |
Fast and Accurate Least-Mean-Squares Solvers Ibrahim Jubran · Alaa Maalouf · Dan Feldman |
|
Poster
|
Tue 10:45 |
Kernel Instrumental Variable Regression Rahul Singh · Maneesh Sahani · Arthur Gretton |
|
Poster
|
Thu 17:00 |
Putting An End to End-to-End: Gradient-Isolated Learning of Representations Sindy Löwe · Peter O'Connor · Bas Veeling |