Papers
On Densification for Minwise Hashing
Tung Mai, Anup Rao, Matt Kapilevich et al.
Online Factorization and Partition of Complex Networks by Random Walk
Lin Yang, Zheng Yu, Vladimir Braverman et al.
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging
Seong Jae Hwang, Ronak R. Mehta, Hyunwoo J. Kim et al.
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias
Christopher Aicher, Nicholas J. Foti, Emily B. Fox
Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning
Jian Wu, Saul Toscano-Palmerin, Peter I. Frazier et al.
Efficient Multitask Feature and Relationship Learning
Han Zhao, Otilia Stretcu, Alexander J. Smola et al.
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations
Biswajit Paria, Kirthevasan Kandasamy, Barnabás Póczos
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation
Théo Galy-Fajou, Florian Wenzel, Christian Donner et al.
How to Exploit Structure while Solving Weighted Model Integration Problems
Samuel Kolb, Pedro Zuidberg Dos Martires, Luc De Raedt
Sinkhorn AutoEncoders
Giorgio Patrini, Rianne van den Berg, Patrick Forré et al.
Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank
Gaurush Hiranandani, Harvineet Singh, Prakhar Gupta et al.
Active Multi-Information Source Bayesian Quadrature
Alexandra Gessner, Javier Gonzalez, Maren Mahsereci
Learning with Non-Convex Truncated Losses by SGD
Yi Xu, Shenghuo Zhu, Sen Yang et al.
Variational Sparse Coding
Francesco Tonolini, Bjørn Sand Jensen, Roderick Murray-Smith
Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling
Jan Kudlicka, Lawrence M. Murray, Fredrik Ronquist et al.
Evacuate or Not? A POMDP Model of the Decision Making of Individuals in Hurricane Evacuation Zones
Adithya Raam Sankar, Prashant Doshi, Adam Goodie
Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization
Guanghui Wang, Shiyin Lu, Lijun Zhang
A Bayesian Approach to Robust Reinforcement Learning
Esther Derman, Daniel Mankowitz, Timothy Mann et al.
Finding Minimal d-separators in Linear Time and Applications
Benito van der Zander, Maciej Liśkiewicz
Belief Propagation: Accurate Marginals or Accurate Partition Function – Where is the Difference?
Christian Knoll, Franz Pernkopf
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding
Niki Kilbertus, Philip J. Ball, Matt J. Kusner et al.
Approximate Causal Abstractions
Sander Beckers, Frederick Eberhardt, Joseph Y. Halpern
Be Greedy: How Chromatic Number meets Regret Minimization in Graph Bandits
Shreyas S, Aadirupa Saha, Chiranjib Bhattacharyya
Beyond Structural Causal Models: Causal Constraints Models
Tineke Blom, Stephan Bongers, Joris M. Mooij
Sliced Score Matching: A Scalable Approach to Density and Score Estimation
Yang Song, Sahaj Garg, Jiaxin Shi et al.