Papers
4,122 papers found
Efficient Inference for Dynamic Flexible Interactions of Neural Populations
Feng Zhou, Quyu Kong, Zhijie Deng et al.
Efficient Least Squares for Estimating Total Effects under Linearity and Causal Sufficiency
F. Richard Guo, Emilija Perković
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting
Maxime Vono, Daniel Paulin, Arnaud Doucet
EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation
Jun Ho Yoon, Seyoung Kim
Empirical Risk Minimization under Random Censorship
Guillaume Ausset, Stephan Clémençon, François Portier
Estimating Causal Effects under Network Interference with Bayesian Generalized Propensity Scores
Laura Forastiere, Fabrizia Mealli, Albert Wu et al.
Estimating Density Models with Truncation Boundaries using Score Matching
Song Liu, Takafumi Kanamori, Daniel J. Williams
Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score
Muxuan Liang, Young-Geun Choi, Yang Ning et al.
EV-GAN: Simulation of extreme events with ReLU neural networks
Michaël Allouche, Stéphane Girard, Emmanuel Gobet
Evolutionary Variational Optimization of Generative Models
Jakob Drefs, Enrico Guiraud, Jörg Lücke
Exact Partitioning of High-order Models with a Novel Convex Tensor Cone Relaxation
Chuyang Ke, Jean Honorio
Exact simulation of diffusion first exit times: algorithm acceleration
Samuel Herrmann, Cristina Zucca
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks
El Mehdi Achour, François Malgouyres, Franck Mamalet
Expected Regret and Pseudo-Regret are Equivalent When the Optimal Arm is Unique
Daron Anderson, Douglas J. Leith
Explicit Convergence Rates of Greedy and Random Quasi-Newton Methods
Dachao Lin, Haishan Ye, Zhihua Zhang
Exploiting locality in high-dimensional Factorial hidden Markov models
Lorenzo Rimella, Nick Whiteley
Extensions to the Proximal Distance Method of Constrained Optimization
Alfonso Landeros, Oscar Hernan Madrid Padilla, Hua Zhou et al.
Fairness-Aware PAC Learning from Corrupted Data
Nikola Konstantinov, Christoph H. Lampert
Fast and Robust Rank Aggregation against Model Misspecification
Yuangang Pan, Ivor W. Tsang, Weijie Chen et al.
Faster Randomized Interior Point Methods for Tall/Wide Linear Programs
Agniva Chowdhury, Gregory Dexter, Palma London et al.
Fast Stagewise Sparse Factor Regression
Kun Chen, Ruipeng Dong, Wanwan Xu et al.
(f,Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics
Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis et al.
Foolish Crowds Support Benign Overfitting
Niladri S. Chatterji, Philip M. Long
FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting
Boxin Zhao, Y. Samuel Wang, Mladen Kolar
Fully General Online Imitation Learning
Michael K. Cohen, Marcus Hutter, Neel Nanda