Papers
4,025 papers found
Utility/Privacy Trade-off through the lens of Optimal Transport
Etienne Boursier, Vianney Perchet
Validated Variational Inference via Practical Posterior Error Bounds
Jonathan Huggins, Mikolaj Kasprzak, Trevor Campbell et al.
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations
Niccolo Dalmasso, Ann Lee, Rafael Izbicki et al.
Value Preserving State-Action Abstractions
David Abel, Nate Umbanhowar, Khimya Khetarpal et al.
Variance Reduction for Evolution Strategies via Structured Control Variates
Yunhao Tang, Krzysztof Choromanski, Alp Kucukelbir
Variational Autoencoders and Nonlinear ICA: A Unifying Framework
Ilyes Khemakhem, Diederik Kingma, Ricardo Monti et al.
Variational Autoencoders for Sparse and Overdispersed Discrete Data
He Zhao, Piyush Rai, Lan Du et al.
Variational Integrator Networks for Physically Structured Embeddings
Steindor Saemundsson, Alexander Terenin, Katja Hofmann et al.
Variational Optimization on Lie Groups, with Examples of Leading (Generalized) Eigenvalue Problems
Molei Tao, Tomoki Ohsawa
Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks
Alexander Levine, Soheil Feizi
Wasserstein Style Transfer
Youssef Mroueh
$HS^2$: Active learning over hypergraphs with pointwise and pairwise queries
I (Eli) Chien, Huozhi Zhou, Pan Li
$β^3$-IRT: A New Item Response Model and its Applications
Yu Chen, Telmo Silva Filho, Ricardo B. Prudencio et al.
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure
Juho Lee, Lancelot James, Seungjin Choi et al.
ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery
Raj Agrawal, Chandler Squires, Karren Yang et al.
Accelerated Coordinate Descent with Arbitrary Sampling and Best Rates for Minibatches
Filip Hanzely, Peter Richtarik
Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives
Hadrien Hendrikx, Francis Bach, Laurent Massoulie
Accelerating Imitation Learning with Predictive Models
Ching-An Cheng, Xinyan Yan, Evangelos Theodorou et al.
A Continuous-Time View of Early Stopping for Least Squares Regression
Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani
Active Exploration in Markov Decision Processes
Jean Tarbouriech, Alessandro Lazaric
Active multiple matrix completion with adaptive confidence sets
Andrea Locatelli, Alexandra Carpentier, Michal Valko
Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization
Filip Roos, Philipp Hennig
Active Ranking with Subset-wise Preferences
Aadirupa Saha, Aditya Gopalan
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models
Randy Ardywibowo, Guang Zhao, Zhangyang Wang et al.