Ya-Ping Hsieh

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 39

Top Topics

Image Brightness

Stochastic Approximation

Convex Minimization

Top Venues

Publications

Panayotis Mertikopoulos, Ya-Ping Hsieh, Volkan Cevher
A unified stochastic approximation framework for learning in games. Math. Program. 203 (1) (2024)
Mohammad Reza Karimi, Ya-Ping Hsieh, Andreas Krause
Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm. AISTATS (2024)
Mohammad Reza Karimi Jaghargh, Ya-Ping Hsieh, Andreas Krause
Stochastic Approximation Algorithms for Systems of Interacting Particles. NeurIPS (2023)
Ya-Ping Hsieh, Mohammad Reza Karimi Jaghargh, Andreas Krause, Panayotis Mertikopoulos
Riemannian stochastic optimization methods avoid strict saddle points. NeurIPS (2023)
Mohammad Reza Karimi, Ya-Ping Hsieh, Andreas Krause
Sinkhorn Flow: A Continuous-Time Framework for Understanding and Generalizing the Sinkhorn Algorithm. CoRR (2023)
Matteo Pariset, Ya-Ping Hsieh, Charlotte Bunne, Andreas Krause, Valentin De Bortoli
Unbalanced Diffusion Schrödinger Bridge. CoRR (2023)
Vignesh Ram Somnath, Matteo Pariset, Ya-Ping Hsieh, María Rodríguez Martínez, Andreas Krause, Charlotte Bunne
Aligned Diffusion Schrödinger Bridges. UAI (2023)
Vignesh Ram Somnath, Matteo Pariset, Ya-Ping Hsieh, María Rodríguez Martínez, Andreas Krause, Charlotte Bunne
Aligned Diffusion Schrödinger Bridges. CoRR (2023)
Ya-Ping Hsieh, Mohammad Reza Karimi, Andreas Krause, Panayotis Mertikopoulos
Riemannian stochastic optimization methods avoid strict saddle points. CoRR (2023)
Mohammad Reza Karimi Jaghargh, Ya-Ping Hsieh, Andreas Krause
A Dynamical System View of Langevin-Based Non-Convex Sampling. NeurIPS (2023)
Charlotte Bunne, Ya-Ping Hsieh, Marco Cuturi, Andreas Krause
The Schrödinger Bridge between Gaussian Measures has a Closed Form. AISTATS (2023)
Mohammad Reza Karimi, Ya-Ping Hsieh, Panayotis Mertikopoulos, Andreas Krause
The Dynamics of Riemannian Robbins-Monro Algorithms. CoRR (2022)
Tatjana Chavdarova, Ya-Ping Hsieh, Michael I. Jordan
Continuous-time Analysis for Variational Inequalities: An Overview and Desiderata. CoRR (2022)
Mohammad Reza Karimi, Ya-Ping Hsieh, Panayotis Mertikopoulos, Andreas Krause
The Dynamics of Riemannian Robbins-Monro Algorithms. COLT (2022)
Panayotis Mertikopoulos, Ya-Ping Hsieh, Volkan Cevher
Learning in games from a stochastic approximation viewpoint. CoRR (2022)
Charlotte Bunne, Ya-Ping Hsieh, Marco Cuturi, Andreas Krause
Recovering Stochastic Dynamics via Gaussian Schrödinger Bridges. CoRR (2022)
Mohammad Reza Karimi, Ya-Ping Hsieh, Andreas Krause
A Dynamical System View of Langevin-Based Non-Convex Sampling. CoRR (2022)
Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets. ICML (2021)
Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher
The limits of min-max optimization algorithms: convergence to spurious non-critical sets. CoRR (2020)
Maria-Luiza Vladarean, Ahmet Alacaoglu, Ya-Ping Hsieh, Volkan Cevher
Conditional gradient methods for stochastically constrained convex minimization. CoRR (2020)
Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. CoRR (2020)
Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. NeurIPS (2020)
Maria-Luiza Vladarean, Ahmet Alacaoglu, Ya-Ping Hsieh, Volkan Cevher
Conditional gradient methods for stochastically constrained convex minimization. ICML (2020)
Ya-Ping Hsieh, Chen Liu, Volkan Cevher
Finding Mixed Nash Equilibria of Generative Adversarial Networks. ICML (2019)
Ya-Ping Hsieh, Ali Kavis, Paul Rolland, Volkan Cevher
Mirrored Langevin Dynamics. NeurIPS (2018)
Ya-Ping Hsieh, Chen Liu, Volkan Cevher
Finding Mixed Nash Equilibria of Generative Adversarial Networks. CoRR (2018)
Ya-Ping Hsieh, Yu-Chun Kao, Rabeeh Karimi Mahabadi, Alp Yurtsever, Anastasios Kyrillidis, Volkan Cevher
A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization. IEEE Trans. Signal Process. 66 (22) (2018)
Ehsan Asadi Kangarshahi, Ya-Ping Hsieh, Mehmet Fatih Sahin, Volkan Cevher
Let's be Honest: An Optimal No-Regret Framework for Zero-Sum Games. ICML (2018)
Ehsan Asadi Kangarshahi, Ya-Ping Hsieh, Mehmet Fatih Sahin, Volkan Cevher
Let's be honest: An optimal no-regret framework for zero-sum games. CoRR (2018)
Ya-Ping Hsieh, Volkan Cevher
Dimension-free Information Concentration via Exp-Concavity. CoRR (2018)
Ya-Ping Hsieh, Volkan Cevher
Dimension-free Information Concentration via Exp-Concavity. ALT (2018)
Ya-Ping Hsieh, Volkan Cevher
Mirrored Langevin Dynamics. CoRR (2018)
Gergely Ódor, Yen-Huan Li, Alp Yurtsever, Ya-Ping Hsieh, Quoc Tran-Dinh, Marwa El Halabi, Volkan Cevher
Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval. ICASSP (2016)
Ashkan Norouzi-Fard, Abbas Bazzi, Ilija Bogunovic, Marwa El Halabi, Ya-Ping Hsieh, Volkan Cevher
An Efficient Streaming Algorithm for the Submodular Cover Problem. NIPS (2016)
Nissim Zerbib, Yen-Huan Li, Ya-Ping Hsieh, Volkan Cevher
Estimation error of the constrained lasso. Allerton (2016)
Ashkan Norouzi-Fard, Abbas Bazzi, Marwa El Halabi, Ilija Bogunovic, Ya-Ping Hsieh, Volkan Cevher
An Efficient Streaming Algorithm for the Submodular Cover Problem. CoRR (2016)
David E. Carlson, Ya-Ping Hsieh, Edo Collins, Lawrence Carin, Volkan Cevher
Stochastic Spectral Descent for Discrete Graphical Models. IEEE J. Sel. Top. Signal Process. 10 (2) (2016)
Alp Yurtsever, Ya-Ping Hsieh, Volkan Cevher
Scalable convex methods for phase retrieval. CAMSAP (2015)
David E. Carlson, Edo Collins, Ya-Ping Hsieh, Lawrence Carin, Volkan Cevher
Preconditioned Spectral Descent for Deep Learning. NIPS (2015)
Ya-Ping Hsieh, Yen-Chi Lee, Po-Jen Shih, Ping-Cheng Yeh, Kwang-Cheng Chen
On the asynchronous information embedding for event-driven systems in molecular communications. Nano Commun. Networks 4 (1) (2013)
Ya-Ping Hsieh, Ping-Cheng Yeh
Mathematical Foundations for Information Theory in Diffusion-Based Molecular Communications. CoRR (2013)
Chuen-Ming Gee, Chien-Chih Tseng, Feng-Yu Wu, Hsin-Ping Chang, Lain-Jong Li, Ya-Ping Hsieh, Cheng-Te Lin, Jyh-Chen Chen
Flexible transparent electrodes made of electrochemically exfoliated graphene sheets from low-cost graphite pieces. Displays 34 (4) (2013)
Ya-Ping Hsieh, Po-Jen Shih, Yen-Chi Lee, Ping-Cheng Yeh, Kwang-Cheng Chen
An asynchronous communication scheme for molecular communication. ICC (2012)