firstbacksecondback
12 Results
|
Poster
|
Thu 7:45 |
But How Does It Work in Theory? Linear SVM with Random Features Yitong Sun · Anna Gilbert · Ambuj Tewari |
|
|
Poster
|
Wed 7:45 |
Porcupine Neural Networks: Approximating Neural Network Landscapes Soheil Feizi · Hamid Javadi · Jesse Zhang · David Tse |
|
|
Poster
|
Thu 14:00 |
Nonparametric Density Estimation under Adversarial Losses Shashank Singh · Ananya Uppal · Boyue Li · Chun-Liang Li · Manzil Zaheer · Barnabas Poczos |
|
|
Poster
|
Tue 7:45 |
With Friends Like These, Who Needs Adversaries? Saumya Jetley · Nicholas Lord · Philip Torr |
|
|
Poster
|
Thu 7:45 |
Algorithmic Linearly Constrained Gaussian Processes Markus Lange-Hegermann |
|
|
Poster
|
Thu 14:00 |
Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes Loucas Pillaud-Vivien · Alessandro Rudi · Francis Bach |
|
|
Poster
|
Wed 14:00 |
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces Motoya Ohnishi · Masahiro Yukawa · Mikael Johansson · Masashi Sugiyama |
|
|
Poster
|
Thu 14:00 |
Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators Isao Ishikawa · Keisuke Fujii · Masahiro Ikeda · Yuka Hashimoto · Yoshinobu Kawahara |
|
|
Poster
|
Thu 7:45 |
Relating Leverage Scores and Density using Regularized Christoffel Functions Edouard Pauwels · Francis Bach · Jean-Philippe Vert |
|
|
Poster
|
Tue 14:00 |
Manifold Structured Prediction Alessandro Rudi · Carlo Ciliberto · Gian Maria Marconi · Lorenzo Rosasco |
|
|
Poster
|
Tue 14:00 |
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot-Guillarmod · Clement Hongler · Franck Gabriel |
|
|
Poster
|
Thu 7:45 |
Learning and Inference in Hilbert Space with Quantum Graphical Models Siddarth Srinivasan · Carlton Downey · Byron Boots |