Papers
Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra
John T Halloran, David M Rocke
Learning Conditioned Graph Structures for Interpretable Visual Question Answering
Will Norcliffe-Brown, Stathis Vafeias, Sarah Parisot
Learning Confidence Sets using Support Vector Machines
Wenbo Wang, Xingye Qiao
Learning convex bounds for linear quadratic control policy synthesis
Jack Umenberger, Thomas B Schön
Learning convex polytopes with margin
Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich et al.
Learning Deep Disentangled Embeddings With the F-Statistic Loss
Karl Ridgeway, Michael Mozer
Learning filter widths of spectral decompositions with wavelets
Haidar Khan, Bulent Yener
Learning from discriminative feature feedback
Sanjoy Dasgupta, Akansha Dey, Nicholas Roberts et al.
Learning from Group Comparisons: Exploiting Higher Order Interactions
Yao Li, Minhao Cheng, Kevin Fujii et al.
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds
David Reeb, Andreas Doerr, Sebastian Gerwinn et al.
Learning Hierarchical Semantic Image Manipulation through Structured Representations
Seunghoon Hong, Xinchen Yan, Thomas S. Huang et al.
Learning in Games with Lossy Feedback
Zhengyuan Zhou, Panayotis Mertikopoulos, Susan Athey et al.
Learning Invariances using the Marginal Likelihood
Mark van der Wilk, Matthias Bauer, ST John et al.
Learning Latent Subspaces in Variational Autoencoders
Jack Klys, Jake Snell, Richard Zemel
Learning latent variable structured prediction models with Gaussian perturbations
Kevin Bello, Jean Honorio
Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction
Kevin Ellis, Lucas Morales, Mathias Sablé-Meyer et al.
Learning long-range spatial dependencies with horizontal gated recurrent units
Drew Linsley, Junkyung Kim, Vijay Veerabadran et al.
Learning Loop Invariants for Program Verification
Xujie Si, Hanjun Dai, Mukund Raghothaman et al.
Learning Optimal Reserve Price against Non-myopic Bidders
Jinyan Liu, Zhiyi Huang, Xiangning Wang
Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs
Yanlin Han, Piotr Gmytrasiewicz
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data
Yuanzhi Li, Yingyu Liang
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems
Mrinmaya Sachan, Kumar Avinava Dubey, Tom M. Mitchell et al.
Learning Plannable Representations with Causal InfoGAN
Thanard Kurutach, Aviv Tamar, Ge Yang et al.
Learning Safe Policies with Expert Guidance
Jessie Huang, Fa Wu, Doina Precup et al.