firstbacksecondback
31 Results
|
Poster
|
Thu 7:45 |
Streaming Kernel PCA with Enayat Ullah · Poorya Mianjy · Teodor Vanislavov Marinov · Raman Arora |
|
|
Poster
|
Thu 7:45 |
But How Does It Work in Theory? Linear SVM with Random Features Yitong Sun · Anna Gilbert · Ambuj Tewari |
|
|
Poster
|
Thu 14:00 |
RetGK: Graph Kernels based on Return Probabilities of Random Walks Zhen Zhang · Mianzhi Wang · Yijian Xiang · Yan Huang · Arye Nehorai |
|
|
Poster
|
Thu 14:00 |
Informative Features for Model Comparison Wittawat Jitkrittum · Heishiro Kanagawa · Patsorn Sangkloy · James Hays · Bernhard Schölkopf · Arthur Gretton |
|
|
Poster
|
Tue 14:00 |
Empirical Risk Minimization Under Fairness Constraints Michele Donini · Luca Oneto · Shai Ben-David · John Shawe-Taylor · Massimiliano Pontil |
|
|
Poster
|
Thu 14:00 |
Random Feature Stein Discrepancies Jonathan Huggins · Lester Mackey |
|
|
Poster
|
Wed 14:00 |
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces Motoya Ohnishi · Masahiro Yukawa · Mikael Johansson · Masashi Sugiyama |
|
|
Poster
|
Thu 7:45 |
Learning with SGD and Random Features Luigi Carratino · Alessandro Rudi · Lorenzo Rosasco |
|
|
Poster
|
Thu 14:00 |
Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels Shahin Shahrampour · Vahid Tarokh |
|
|
Poster
|
Wed 7:45 |
PAC-Bayes bounds for stable algorithms with instance-dependent priors Omar Rivasplata · Emilio Parrado-Hernandez · John Shawe-Taylor · Shiliang Sun · Csaba Szepesvari |
|
|
Poster
|
Tue 14:00 |
Geometry Based Data Generation Ofir Lindenbaum · Jay Stanley · Guy Wolf · Smita Krishnaswamy |
|
|
Poster
|
Wed 14:00 |
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification Dimitrios Milios · Raffaello Camoriano · Pietro Michiardi · Lorenzo Rosasco · Maurizio Filippone |