Papers
Learning Human Objectives by Evaluating Hypothetical Behavior
Siddharth Reddy, Anca Dragan, Sergey Levine et al.
Learning Mixtures of Graphs from Epidemic Cascades
Jessica Hoffmann, Soumya Basu, Surbhi Goel et al.
Learning Near Optimal Policies with Low Inherent Bellman Error
Andrea Zanette, Alessandro Lazaric, Mykel Kochenderfer et al.
Learning Opinions in Social Networks
Vincent Conitzer, Debmalya Panigrahi, Hanrui Zhang
Learning Optimal Tree Models under Beam Search
Jingwei Zhuo, Ziru Xu, Wei Dai et al.
Learning Portable Representations for High-Level Planning
Steven James, Benjamin Rosman, George Konidaris
Learning Quadratic Games on Networks
Yan Leng, Xiaowen Dong, Junfeng Wu et al.
Learning Reasoning Strategies in End-to-End Differentiable Proving
Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp et al.
Learning Representations that Support Extrapolation
Taylor Webb, Zachary Dulberg, Steven Frankland et al.
Learning Robot Skills with Temporal Variational Inference
Tanmay Shankar, Abhinav Gupta
Learning Selection Strategies in Buchberger’s Algorithm
Dylan Peifer, Michael Stillman, Daniel Halpern-Leistner
Learning Similarity Metrics for Numerical Simulations
Georg Kohl, Kiwon Um, Nils Thuerey
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective
Ruixiang Zhang, Masanori Koyama, Katsuhiko Ishiguro
Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion
Nghia Hoang, Thanh Lam, Bryan Kian Hsiang Low et al.
Learning the piece-wise constant graph structure of a varying Ising model
Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos et al.
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling
Will Grathwohl, Kuan-Chieh Wang, Joern-Henrik Jacobsen et al.
Learning the Valuations of a $k$-demand Agent
Hanrui Zhang, Vincent Conitzer
Learning to Branch for Multi-Task Learning
Pengsheng Guo, Chen-Yu Lee, Daniel Ulbricht
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules
Sarthak Mittal, Alex Lamb, Anirudh Goyal et al.
Learning to Encode Position for Transformer with Continuous Dynamical Model
Xuanqing Liu, Hsiang-Fu Yu, Inderjit Dhillon et al.
Learning to Learn Kernels with Variational Random Features
Xiantong Zhen, Haoliang Sun, Yingjun Du et al.
Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu et al.
Learning to Rank Learning Curves
Martin Wistuba, Tejaswini Pedapati
Learning to Score Behaviors for Guided Policy Optimization
Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang et al.
Learning to Simulate and Design for Structural Engineering
Kai-Hung Chang, Chin-Yi Cheng