Papers
4,025 papers found
The ELBO of Variational Autoencoders Converges to a Sum of Entropies
Simon Damm, Dennis Forster, Dmytro Velychko et al.
The Lauritzen-Chen Likelihood For Graphical Models
Ilya Shpitser
The Lie-Group Bayesian Learning Rule
Eren Mehmet Kiral, Thomas Moellenhoff, Mohammad Emtiyaz Khan
The Ordered Matrix Dirichlet for State-Space Models
Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell et al.
Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness
Pranjal Awasthi, Anqi Mao, Mehryar Mohri et al.
Theory and Algorithm for Batch Distribution Drift Problems
Pranjal Awasthi, Corinna Cortes, Christopher Mohri
The Power of Recursion in Graph Neural Networks for Counting Substructures
Behrooz Tahmasebi, Derek Lim, Stefanie Jegelka
The Role of Codeword-to-Class Assignments in Error-Correcting Codes: An Empirical Study
Itay Evron, Ophir Onn, Tamar Weiss et al.
The Schrödinger Bridge between Gaussian Measures has a Closed Form
Charlotte Bunne, Ya-Ping Hsieh, Marco Cuturi et al.
Thresholded linear bandits
Nishant A. Mehta, Junpei Komiyama, Vamsi K. Potluru et al.
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty
Felix Biggs, Benjamin Guedj
Tight Regret and Complexity Bounds for Thompson Sampling via Langevin Monte Carlo
Tom Huix, Matthew Zhang, Alain Durmus
To Impute or not to Impute? Missing Data in Treatment Effect Estimation
Jeroen Berrevoets, Fergus Imrie, Trent Kyono et al.
Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling
Rui Wang, Pengyu Cheng, Ricardo Henao
Towards Balanced Representation Learning for Credit Policy Evaluation
Yiyan Huang, Cheuk Hang Leung, Shumin Ma et al.
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework
Runzhe Wan, Lin Ge, Rui Song
T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression
Yuchao Qin, Mihaela van der Schaar, Changhee Lee
Transport Elliptical Slice Sampling
Alberto Cabezas, Christopher Nemeth
Transport Reversible Jump Proposals
Laurence Davies, Robert Salomone, Matthew Sutton et al.
TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation
Jackie Baek, Vivek Farias
Two-Sample Tests for Inhomogeneous Random Graphs in $L_r$ Norm: Optimality and Asymptotics
Sayak Chatterjee, Dibyendu Saha, Soham Dan et al.
Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees
Joseph Janssen, Vincent Guan, Elina Robeva
Uncertainty-aware Unsupervised Video Hashing
Yucheng Wang, Mingyuan Zhou, Yu Sun et al.
Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition
Sebastian Gruber, Florian Buettner
Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data
Ryumei Nakada, Halil Ibrahim Gulluk, Zhun Deng et al.