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Poster
Mon 18:30 Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions
Aryeh Kontorovich · Sivan Sabato · Roi Weiss
Poster
Wed 18:30 Random Permutation Online Isotonic Regression
Wojciech Kotlowski · Wouter Koolen · Alan Malek
Poster
Wed 18:30 Renyi Differential Privacy Mechanisms for Posterior Sampling
Joseph Geumlek · Shuang Song · Kamalika Chaudhuri
Poster
Tue 18:30 Best Response Regression
Omer Ben-Porat · Moshe Tennenholtz
Poster
Tue 18:30 Learning with Average Top-k Loss
Yanbo Fan · Siwei Lyu · Yiming Ying · Baogang Hu
Poster
Wed 18:30 Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models
Rishit Sheth · Roni Khardon
Poster
Wed 18:30 Online Learning with a Hint
Ofer Dekel · arthur flajolet · Nika Haghtalab · Patrick Jaillet
Poster
Wed 18:30 Learning to Pivot with Adversarial Networks
Gilles Louppe · Michael Kagan · Kyle Cranmer
Poster
Wed 18:30 Repeated Inverse Reinforcement Learning
Kareem Amin · Nan Jiang · Satinder Singh
Poster
Tue 18:30 The power of absolute discounting: all-dimensional distribution estimation
Moein Falahatgar · Mesrob Ohannessian · Alon Orlitsky · Venkatadheeraj Pichapati
Poster
Mon 18:30 Noise-Tolerant Interactive Learning Using Pairwise Comparisons
Yichong Xu · Hongyang Zhang · Aarti Singh · Artur Dubrawski · Kyle Miller
Poster
Wed 18:30 Learning Causal Structures Using Regression Invariance
AmirEmad Ghassami · Saber Salehkaleybar · Negar Kiyavash · Kun Zhang