Papers
4,025 papers found
Adaptive Estimation for Approximate $k$-Nearest-Neighbor Computations
Daniel LeJeune, Reinhard Heckel, Richard Baraniuk
Adaptive Gaussian Copula ABC
Yanzhi Chen, Michael U. Gutmann
Adaptive MCMC via Combining Local Samplers
Kiárash Shaloudegi, András György
Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional l1-Balls via Envelope Complexity
Kohei Miyaguchi, Kenji Yamanishi
Adaptive Rao-Blackwellisation in Gibbs Sampling for Probabilistic Graphical Models
Craig Kelly, Somdeb Sarkhel, Deepak Venugopal
Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators
Zhongliang Li, Tian Xia, Xingyu Lou et al.
Adversarial Learning of a Sampler Based on an Unnormalized Distribution
Chunyuan Li, Ke Bai, Jianqiao Li et al.
Adversarial Variational Optimization of Non-Differentiable Simulators
Gilles Louppe, Joeri Hermans, Kyle Cranmer
A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions
Feras A. Saad, Cameron E. Freer, Nathanael L. Ackerman et al.
A Fast Sampling Algorithm for Maximum Inner Product Search
QIN DING, Hsiang-Fu Yu, Cho-Jui Hsieh
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes
Jialin Song, Yuxin Chen, Yisong Yue
A Geometric Perspective on the Transferability of Adversarial Directions
Zachary Charles, Harrison Rosenberg, Dimitris Papailiopoulos
A Higher-Order Kolmogorov-Smirnov Test
Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Aaditya Ramdas et al.
A maximum-mean-discrepancy goodness-of-fit test for censored data
Tamara Fernandez, Arthur Gretton
A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems
Rishabh Iyer, Jeffrey Bilmes
Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes
Linfeng Liu, Liping Liu
Analysis of Network Lasso for Semi-Supervised Regression
Alexander Jung, Natalia Vesselinova
A new evaluation framework for topic modeling algorithms based on synthetic corpora
Hanyu Shi, Martin Gerlach, Isabel Diersen et al.
An Online Algorithm for Smoothed Regression and LQR Control
Gautam Goel, Adam Wierman
An Optimal Algorithm for Stochastic and Adversarial Bandits
Julian Zimmert, Yevgeny Seldin
An Optimal Algorithm for Stochastic Three-Composite Optimization
Renbo Zhao, William B. Haskell, Vincent Y. F. Tan
An Optimal Control Approach to Sequential Machine Teaching
Laurent Lessard, Xuezhou Zhang, Xiaojin Zhu
A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects
Daniel Malinsky, Ilya Shpitser, Thomas Richardson