|
Poster
|
Wed 7:45
|
A Theory-Based Evaluation of Nearest Neighbor Models Put Into Practice
Hendrik Fichtenberger · Dennis Rohde
|
|
|
Tutorial
|
Mon 11:30
|
Statistical Learning Theory: a Hitchhiker's Guide
John Shawe-Taylor · Omar Rivasplata
|
|
|
Poster
|
Wed 7:45
|
Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution
Dimitrios Diochnos · Saeed Mahloujifar · Mohammad Mahmoody
|
|
|
Poster
|
Wed 7:45
|
Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units
Yixi Xu · Xiao Wang
|
|
|
Poster
|
Thu 14:00
|
Learning Confidence Sets using Support Vector Machines
Wenbo Wang · Xingye Qiao
|
|
|
Poster
|
Thu 14:00
|
An Information-Theoretic Analysis for Thompson Sampling with Many Actions
Shi Dong · Benjamin Van Roy
|
|
|
Poster
|
Wed 7:45
|
Revisiting (ϵ,γ,τ)-similarity learning for domain adaptation
Sofiane Dhouib · Ievgen Redko
|
|
|
Poster
|
Thu 14:00
|
Learning convex polytopes with margin
Lee-Ad Gottlieb · Eran Kaufman · Aryeh Kontorovich · Gabriel Nivasch
|
|
|
Poster
|
Wed 7:45
|
Deepcode: Feedback Codes via Deep Learning
Hyeji Kim · Yihan Jiang · Sreeram Kannan · Sewoong Oh · Pramod Viswanath
|
|
|
Poster
|
Wed 7:45
|
Data-dependent PAC-Bayes priors via differential privacy
Gintare Karolina Dziugaite · Daniel Roy
|
|
|
Poster
|
Wed 7:45
|
High Dimensional Linear Regression using Lattice Basis Reduction
Ilias Zadik · David Gamarnik
|
|
|
Poster
|
Thu 14:00
|
Clustering Redemption–Beyond the Impossibility of Kleinberg’s Axioms
Vincent Cohen-Addad · Varun Kanade · Frederik Mallmann-Trenn
|
|
