Co-occurring keywords · papers mentioning both
Papers
Wasserstein Control of Mirror Langevin Monte Carlo
COLT 2020
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains
EMNLP 2020
Wasserstein Distances for Stereo Disparity Estimation
NeurIPS 2020
Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks
AISTATS 2020
3D Volumetric Modeling with Introspective Neural Networks
AAAI 2019
Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances
ICML 2019
A Direct tilde{O}(1/epsilon) Iteration Parallel Algorithm for Optimal Transport
NeurIPS 2019
A Fast Proximal Point Method for Computing Exact Wasserstein Distance
UAI 2019
A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression
NeurIPS 2019
A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization
ICML 2019
Approximability of Discriminators Implies Diversity in GANs
ICLR 2019
A Primal-Dual link between GANs and Autoencoders
NeurIPS 2019
A Principled Approach for Learning Task Similarity in Multitask Learning
IJCAI 2019
Concentration of risk measures: A Wasserstein distance approach
NeurIPS 2019
Conservative Wasserstein Training for Pose Estimation
ICCV 2019
Deep Geometric Prior for Surface Reconstruction
CVPR 2019
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
ICLR 2019
Differentially Private Optimal Transport: Application to Domain Adaptation
IJCAI 2019
Discriminator optimal transport
NeurIPS 2019
Don't let your Discriminator be fooled
ICLR 2019
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs
ICML 2019
Estimating Convergence of Markov chains with L-Lag Couplings
NeurIPS 2019
Estimation of smooth densities in Wasserstein distance
COLT 2019
EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning
AAAI 2019
FRAME Revisited: An Interpretation View Based on Particle Evolution
AAAI 2019