Ya-Ping Hsieh

发表

Scalable convex methods for phase retrieval

Volkan Cevher, Alp Yurtsever, Ya-Ping Hsieh, 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Stochastic Spectral Descent for Discrete Graphical Models

Volkan Cevher, Lawrence Carin, David E. Carlson, 2016, IEEE Journal of Selected Topics in Signal Processing.

General Proximal Gradient Method: A Case for Non-Euclidean Norms

Marwa El Halabi, Ya-Ping Hsieh, V. Cevher, 2017 .

A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization

Volkan Cevher, Anastasios Kyrillidis, Alp Yurtsever, 2018, IEEE Transactions on Signal Processing.

A Geometric View on Constrained M-Estimators

Ya-Ping Hsieh, V. Cevher, Yen-Huan Li, 2015, 1506.08163.

Let's be honest: An optimal no-regret framework for zero-sum games

Volkan Cevher, Ehsan Asadi Kangarshahi, Ya-Ping Hsieh, 2018, ICML.

Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval

Volkan Cevher, Alp Yurtsever, Ya-Ping Hsieh, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

L G ] 2 3 O ct 2 01 8 Finding Mixed Nash Equilibria of Generative Adversarial Networks

Ya-Ping Hsieh, Chen Liu, 2018 .

Learning in games from a stochastic approximation viewpoint

Ya-Ping Hsieh, V. Cevher, P. Mertikopoulos, 2022, ArXiv.

The Dynamics of Riemannian Robbins-Monro Algorithms

Mohammad Reza Karimi, Ya-Ping Hsieh, A. Krause, 2022, ArXiv.

Continuous-time Analysis for Variational Inequalities: An Overview and Desiderata

Michael I. Jordan, M.I. Jordan, Ya-Ping Hsieh, 2022, ArXiv.

Recovering Stochastic Dynamics via Gaussian Schrödinger Bridges

Marco Cuturi, Ya-Ping Hsieh, A. Krause, 2022, ArXiv.

A Dynamical System View of Langevin-Based Non-Convex Sampling

Mohammad Reza Karimi, Ya-Ping Hsieh, A. Krause, 2022, ArXiv.

The Dynamics of Riemannian Robbins-Monro Algorithms

Mohammad Reza Karimi, Ya-Ping Hsieh, A. Krause, 2022, COLT.

Riemannian stochastic approximation algorithms

Mohammad Reza Karimi, Ya-Ping Hsieh, A. Krause, 2022, 2206.06795.

Robust Reinforcement Learning via Adversarial training with Langevin Dynamics pdf

Paul Rolland, Parameswaran Kamalaruban, Cheng Shi, 2020, NeurIPS.

On the asynchronous information embedding for event-driven systems in molecular communications

Kwang-Cheng Chen, Ping-Cheng Yeh, Yen-Chi Lee, 2013, Nano Commun. Networks.

An Efficient Streaming Algorithm for the Submodular Cover Problem

Volkan Cevher, Abbas Bazzi, Ya-Ping Hsieh, 2016, NIPS.

Aligned Diffusion Schr\"odinger Bridges

Vignesh Ram Somnath, Ya-Ping Hsieh, Charlotte Bunne, 2023, 2302.11419.

Mirrored Langevin Dynamics

Volkan Cevher, Ya-Ping Hsieh, Ya-Ping Hsieh, 2018, NeurIPS.

The limits of min-max optimization algorithms: convergence to spurious non-critical sets

Ya-Ping Hsieh, V. Cevher, P. Mertikopoulos, 2020, ICML.

Mathematical Foundations for Information Theory in Diffusion-Based Molecular Communications pdf

Ping-Cheng Yeh, Ya-Ping Hsieh, Ya-Ping Hsieh, 2013, ArXiv.

Unbalanced Diffusion Schrödinger Bridge

Valentin De Bortoli, Ya-Ping Hsieh, Charlotte Bunne, 2023, ArXiv.

The Schrödinger Bridge between Gaussian Measures has a Closed Form

Marco Cuturi, Ya-Ping Hsieh, Charlotte Bunne, 2022, AISTATS.

Aligned Diffusion Schrödinger Bridges

Vignesh Ram Somnath, Ya-Ping Hsieh, Charlotte Bunne, 2023, ArXiv.

Recovering Stochastic Dynamics via Gaussian Schrödinger Bridges

Marco Cuturi, Ya-Ping Hsieh, A. Krause, 2022, ArXiv.

Aligned Diffusion Schrödinger Bridges

Vignesh Ram Somnath, Ya-Ping Hsieh, Charlotte Bunne, 2023, UAI.

Preconditioned Spectral Descent for Deep Learning

Volkan Cevher, Lawrence Carin, David E. Carlson, 2015, NIPS.

Finding Mixed Nash Equilibria of Generative Adversarial Networks pdf

Volkan Cevher, Chen Liu, Ya-Ping Hsieh, 2018, ICML.

A Dynamical System View of Langevin-Based Non-Convex Sampling

Mohammad Reza Karimi, Ya-Ping Hsieh, A. Krause, 2022, ArXiv.

Aligned Diffusion Schrödinger Bridges (Supplementary Material)

Vignesh Ram Somnath, Ya-Ping Hsieh, Charlotte Bunne, 2023 .

A unified stochastic approximation framework for learning in games

Ya-Ping Hsieh, V. Cevher, P. Mertikopoulos, 2022, Mathematical Programming.

Riemannian stochastic optimization methods avoid strict saddle points

Mohammad Reza Karimi, Ya-Ping Hsieh, P. Mertikopoulos, 2023, ArXiv.

A unified stochastic approximation framework for learning in games

Ya-Ping Hsieh, V. Cevher, P. Mertikopoulos, 2022, 2206.03922.