Papers
Learning Linear-Quadratic Regulators Efficiently with only $\sqrtT$ Regret
Alon Cohen, Tomer Koren, Yishay Mansour
Learning Models from Data with Measurement Error: Tackling Underreporting
Roy Adams, Yuelong Ji, Xiaobin Wang et al.
Learning Neurosymbolic Generative Models via Program Synthesis
Halley Young, Osbert Bastani, Mayur Naik
Learning Novel Policies For Tasks
Yunbo Zhang, Wenhao Yu, Greg Turk
Learning Optimal Fair Policies
Razieh Nabi, Daniel Malinsky, Ilya Shpitser
Learning Optimal Linear Regularizers
Matthew Streeter
Learning Structured Decision Problems with Unawareness
Craig Innes, Alex Lascarides
Learning to bid in revenue-maximizing auctions
Thomas Nedelec, Noureddine El Karoui, Vianney Perchet
Learning to Clear the Market
Weiran Shen, Sebastien Lahaie, Renato Paes Leme
Learning to Collaborate in Markov Decision Processes
Goran Radanovic, Rati Devidze, David Parkes et al.
Learning to Convolve: A Generalized Weight-Tying Approach
Nichita Diaconu, Daniel Worrall
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs
Lingbing Guo, Zequn Sun, Wei Hu
Learning to Generalize from Sparse and Underspecified Rewards
Rishabh Agarwal, Chen Liang, Dale Schuurmans et al.
Learning to Groove with Inverse Sequence Transformations
Jon Gillick, Adam Roberts, Jesse Engel et al.
Learning to Infer Program Sketches
Maxwell Nye, Luke Hewitt, Joshua Tenenbaum et al.
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization
Giulia Denevi, Carlo Ciliberto, Riccardo Grazzi et al.
Learning to Optimize Multigrid PDE Solvers
Daniel Greenfeld, Meirav Galun, Ronen Basri et al.
Learning to Prove Theorems via Interacting with Proof Assistants
Kaiyu Yang, Jia Deng
Learning to Route in Similarity Graphs
Dmitry Baranchuk, Dmitry Persiyanov, Anton Sinitsin et al.
Learning to select for a predefined ranking
Aleksei Ustimenko, Aleksandr Vorobev, Gleb Gusev et al.
Learning What and Where to Transfer
Yunhun Jang, Hankook Lee, Sung Ju Hwang et al.
Learning with Bad Training Data via Iterative Trimmed Loss Minimization
Yanyao Shen, Sujay Sanghavi
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
Xilai Li, Yingbo Zhou, Tianfu Wu et al.
LegoNet: Efficient Convolutional Neural Networks with Lego Filters
Zhaohui Yang, Yunhe Wang, Chuanjian Liu et al.
Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction
Giulia Luise, Dimitrios Stamos, Massimiliano Pontil et al.