Papers
938 papers found
On Open-Universe Causal Reasoning
Duligur Ibeling, Thomas Icard
On the Relationship Between Satisfiability and Markov Decision Processes
Ricardo Salmon, Pascal Poupart
P3O: Policy-on Policy-off Policy Optimization
Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola
Periodic Kernel Approximation by Index Set Fourier Series Features
Anthony Tompkins, Fabio Ramos
Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data
Naman Goel, Boi Faltings
Perturbed-History Exploration in Stochastic Linear Bandits
Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh et al.
Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning
Jian Wu, Saul Toscano-Palmerin, Peter I. Frazier et al.
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.
Probability Distillation: A Caveat and Alternatives
Chin-Wei Huang, Faruk Ahmed, Kundan Kumar et al.
Problem-dependent Regret Bounds for Online Learning with Feedback Graphs
Bingshan Hu, Nishant A. Mehta, Jianping Pan
Random Clique Covers for Graphs with Local Density and Global Sparsity
Sinead A. Williamson, Mauricio Tec
Randomized Iterative Algorithms for Fisher Discriminant Analysis
Agniva Chowdhury, Jiasen Yang, Petros Drineas
Randomized Value Functions via Multiplicative Normalizing Flows
Ahmed Touati, Harsh Satija, Joshua Romoff et al.
Random Search and Reproducibility for Neural Architecture Search
Liam Li, Ameet Talwalkar
Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning
Robert Peharz, Antonio Vergari, Karl Stelzner et al.
Real-Time Robotic Search using Structural Spatial Point Processes
Olov Andersson, Per Sidén, Johan Dahlin et al.
Recommendation from Raw Data with Adaptive Compound Poisson Factorization
Olivier Gouvert, Thomas Oberlin, Cédric Févotte
Reducing Exploration of Dying Arms in Mortal Bandits
Stefano Tracà, Cynthia Rudin, Weiyu Yan
Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow
Tuan Anh Le, Adam R. Kosiorek, N. Siddharth 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.
Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation
Manuel Haußmann, Fred A. Hamprecht, Melih Kandemir
Sinkhorn AutoEncoders
Giorgio Patrini, Rianne van den Berg, Patrick Forré et al.
Sliced Score Matching: A Scalable Approach to Density and Score Estimation
Yang Song, Sahaj Garg, Jiaxin Shi et al.
Social Reinforcement Learning to Combat Fake News Spread
Mahak Goindani, Jennifer Neville
Stability of Linear Structural Equation Models of Causal Inference
Karthik Abhinav Sankararaman, Anand Louis, Navin Goyal