Papers
Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem
Victor-Emmanuel Brunel
Bayesian Model-Agnostic Meta-Learning
Jaesik Yoon, Taesup Kim, Ousmane Dia et al.
Towards Robust Detection of Adversarial Examples
Tianyu Pang, Chao Du, Yinpeng Dong et al.
Invertibility of Convolutional Generative Networks from Partial Measurements
Fangchang Ma, Ulas Ayaz, Sertac Karaman
Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo
Oren Mangoubi, Nisheeth Vishnoi
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation
Yuan Li, Xiaodan Liang, Zhiting Hu et al.
Acceleration through Optimistic No-Regret Dynamics
Jun-Kun Wang, Jacob D. Abernethy
Fast greedy algorithms for dictionary selection with generalized sparsity constraints
Kaito Fujii, Tasuku Soma
Learning to Navigate in Cities Without a Map
Piotr Mirowski, Matt Grimes, Mateusz Malinowski et al.
Point process latent variable models of larval zebrafish behavior
Anuj Sharma, Robert Johnson, Florian Engert et al.
Practical Methods for Graph Two-Sample Testing
Debarghya Ghoshdastidar, Ulrike von Luxburg
Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning
Ofir Marom, Benjamin Rosman
Deep Generative Markov State Models
Hao Wu, Andreas Mardt, Luca Pasquali et al.
Using Large Ensembles of Control Variates for Variational Inference
Tomas Geffner, Justin Domke
Minimax Estimation of Neural Net Distance
Kaiyi Ji, Yingbin Liang
rho-POMDPs have Lipschitz-Continuous epsilon-Optimal Value Functions
Mathieu Fehr, Olivier Buffet, Vincent Thomas et al.
TopRank: A practical algorithm for online stochastic ranking
Tor Lattimore, Branislav Kveton, Shuai Li et al.
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation
Qiang Liu, Lihong Li, Ziyang Tang et al.
Expanding Holographic Embeddings for Knowledge Completion
Yexiang Xue, Yang Yuan, Zhitian Xu et al.
Image-to-image translation for cross-domain disentanglement
Abel Gonzalez-Garcia, Joost van de Weijer, Yoshua Bengio
DeepProbLog: Neural Probabilistic Logic Programming
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig et al.
Active Learning for Non-Parametric Regression Using Purely Random Trees
Jack Goetz, Ambuj Tewari, Paul Zimmerman
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
Jie Hu, Li Shen, Samuel Albanie et al.
Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity
Laming Chen, Guoxin Zhang, Eric Zhou
Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues
Soumendu Sundar Mukherjee, Purnamrita Sarkar, Y. X. Rachel Wang et al.