Papers
Margin-Based Generalization Lower Bounds for Boosted Classifiers
Allan Grønlund, Lior Kamma, Kasper Green Larsen et al.
Using Statistics to Automate Stochastic Optimization
Hunter Lang, Lin Xiao, Pengchuan Zhang
Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model
Guodong Zhang, Lala Li, Zachary Nado et al.
Online-Within-Online Meta-Learning
Giulia Denevi, Dimitris Stamos, Carlo Ciliberto et al.
A New Perspective on Pool-Based Active Classification and False-Discovery Control
Lalit Jain, Kevin G. Jamieson
A Flexible Generative Framework for Graph-based Semi-supervised Learning
Jiaqi Ma, Weijing Tang, Ji Zhu et al.
Disentangled behavioural representations
Amir Dezfouli, Hassan Ashtiani, Omar Ghattas et al.
Discrete Flows: Invertible Generative Models of Discrete Data
Dustin Tran, Keyon Vafa, Kumar Agrawal et al.
Structure Learning with Side Information: Sample Complexity
Saurabh Sihag, Ali Tajer
Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design
Faidra Georgia Monachou, Itai Ashlagi
Universality in Learning from Linear Measurements
Ehsan Abbasi, Fariborz Salehi, Babak Hassibi
Inherent Weight Normalization in Stochastic Neural Networks
Georgios Detorakis, Sourav Dutta, Abhishek Khanna et al.
Modeling Conceptual Understanding in Image Reference Games
Rodolfo Corona Rodriguez, Stephan Alaniz, Zeynep Akata
Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up
Dominic Richards, Patrick Rebeschini
Cost Effective Active Search
Shali Jiang, Roman Garnett, Benjamin Moseley
Tight Dimension Independent Lower Bound on the Expected Convergence Rate for Diminishing Step Sizes in SGD
PHUONG_HA NGUYEN, Lam Nguyen, Marten van Dijk
A neurally plausible model learns successor representations in partially observable environments
Eszter Vértes, Maneesh Sahani
Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs
Jian QIAN, Ronan Fruit, Matteo Pirotta et al.
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman, R Devon Hjelm, William Buchwalter
Recurrent Registration Neural Networks for Deformable Image Registration
Robin Sandkühler, Simon Andermatt, Grzegorz Bauman et al.
Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components
Sascha Saralajew, Lars Holdijk, Maike Rees et al.
A Tensorized Transformer for Language Modeling
Xindian Ma, Peng Zhang, Shuai Zhang et al.
Conditional Independence Testing using Generative Adversarial Networks
Alexis Bellot, Mihaela van der Schaar
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang, Zihang Dai, Yiming Yang et al.