Papers
938 papers found
Learning to learn generative programs with Memoised Wake-Sleep
Luke Hewitt, Tuan Anh Le, Joshua Tenenbaum
Locally Masked Convolution for Autoregressive Models
Ajay Jain, Pieter Abbeel, Deepak Pathak
MaskAAE: Latent space optimization for Adversarial Auto-Encoders
Arnab Mondal, Sankalan Pal Chowdhury, Aravind Jayendran et al.
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models
Ioan Gabriel Bucur, Tom Claassen, Tom Heskes
Measurement Dependence Inducing Latent Causal Models
Alex Markham, Moritz Grosse-Wentrup
Mixed-Membership Stochastic Block Models for Weighted Networks
Adrien Dulac, Eric Gaussier, Christine Largeron
Model-Augmented Conditional Mutual Information Estimation for Feature Selection
Alan Yang, AmirEmad Ghassami, Maxim Raginsky et al.
Multitask Soft Option Learning
Maximilian Igl, Andrew Gambardella, Jinke He et al.
Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch
Michael Wan, Tanmay Gangwani, Jian Peng
Neural Likelihoods via Cumulative Distribution Functions
Pawel Chilinski, Ricardo Silva
Nonparametric Fisher Geometry with Application to Density Estimation
Andrew Holbrook, Shiwei Lan, Jeffrey Streets et al.
Non Parametric Graph Learning for Bayesian Graph Neural Networks
Soumyasundar Pal, Saber Malekmohammadi, Florence Regol et al.
No-regret Exploration in Contextual Reinforcement Learning
Aditya Modi, Ambuj Tewari
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation
Hongyu Ren, Yuke Zhu, Jure Leskovec et al.
On Counterfactual Explanations under Predictive Multiplicity
Martin Pawelczyk, Klaus Broelemann, Gjergji. Kasneci
Online Parameter-Free Learning of Multiple Low Variance Tasks
Giulia Denevi, Massimiliano Pontil, Dimitrios Stamos
On the design of consequential ranking algorithms
Behzad Tabibian, Vicenç Gómez, Abir De et al.
On the Relationship Between Probabilistic Circuits and Determinantal Point Processes
Honghua Zhang, Steven Holtzen, Guy Broeck
Ordering Variables for Weighted Model Integration
Vincent Derkinderen, Evert Heylen, Pedro Zuidberg Dos Martires et al.
PAC-Bayesian Contrastive Unsupervised Representation Learning
Kento Nozawa, Pascal Germain, Benjamin Guedj
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator
Siamak Zamani Dadaneh, Shahin Boluki, Mingzhang Yin et al.
Permutation-Based Causal Structure Learning with Unknown Intervention Targets
Chandler Squires, Yuhao Wang, Caroline Uhler
Popularity Agnostic Evaluation of Knowledge Graph Embeddings
Aisha Mohamed, Shameem Parambath, Zoi Kaoudi et al.