An asynchronous communication scheme for molecular communication. - Ya-Ping Hsieh; Po-Jen Shih; Yen-Chi Lee; Ping-Cheng Yeh; Kwang-Cheng Chen (ICC, 2012)

Mathematical Foundations for Information Theory in Diffusion-Based Molecular Communications. - Ya-Ping Hsieh; Ping-Cheng Yeh (CoRR, 2013)

Flexible transparent electrodes made of electrochemically exfoliated graphene sheets from low-cost graphite pieces. - Chuen-Ming Gee; Chien-Chih Tseng; Feng-Yu Wu; Hsin-Ping Chang; Lain-Jong Li; Ya-Ping Hsieh; Cheng-Te Lin; Jyh-Chen Chen (Displays, 2013)

On the asynchronous information embedding for event-driven systems in molecular communications. - Ya-Ping Hsieh; Yen-Chi Lee; Po-Jen Shih; Ping-Cheng Yeh; Kwang-Cheng Chen (Nano Commun. Networks, 2013)

Scalable convex methods for phase retrieval. - Alp Yurtsever; Ya-Ping Hsieh; Volkan Cevher (CAMSAP, 2015)

Preconditioned Spectral Descent for Deep Learning. - David E. Carlson; Edo Collins; Ya-Ping Hsieh; Lawrence Carin; Volkan Cevher (NIPS, 2015)

Estimation error of the constrained lasso. - Nissim Zerbib; Yen-Huan Li; Ya-Ping Hsieh; Volkan Cevher (Allerton, 2016)

Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval. - Gergely Ódor; Yen-Huan Li; Alp Yurtsever; Ya-Ping Hsieh; Quoc Tran-Dinh; Marwa El Halabi; Volkan Cevher (ICASSP, 2016)

An Efficient Streaming Algorithm for the Submodular Cover Problem. - Ashkan Norouzi-Fard; Abbas Bazzi; Ilija Bogunovic; Marwa El Halabi; Ya-Ping Hsieh; Volkan Cevher (NIPS, 2016)

Stochastic Spectral Descent for Discrete Graphical Models. - David E. Carlson; Ya-Ping Hsieh; Edo Collins; Lawrence Carin; Volkan Cevher (IEEE J. Sel. Top. Signal Process., 2016)

Dimension-free Information Concentration via Exp-Concavity. - Ya-Ping Hsieh; Volkan Cevher (ALT, 2018)

Let's be Honest: An Optimal No-Regret Framework for Zero-Sum Games. - Ehsan Asadi Kangarshahi; Ya-Ping Hsieh; Mehmet Fatih Sahin; Volkan Cevher (ICML, 2018)

Mirrored Langevin Dynamics. - Ya-Ping Hsieh; Ali Kavis; Paul Rolland; Volkan Cevher (NeurIPS, 2018)

Mirrored Langevin Dynamics. - Ya-Ping Hsieh; Volkan Cevher (CoRR, 2018)

A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization. - Ya-Ping Hsieh; Yu-Chun Kao; Rabeeh Karimi Mahabadi; Alp Yurtsever; Anastasios Kyrillidis; Volkan Cevher (IEEE Trans. Signal Process., 2018)

Finding Mixed Nash Equilibria of Generative Adversarial Networks. - Ya-Ping Hsieh; Chen Liu 027; Volkan Cevher (ICML, 2019)

Conditional gradient methods for stochastically constrained convex minimization. - Maria-Luiza Vladarean; Ahmet Alacaoglu; Ya-Ping Hsieh; Volkan Cevher (ICML, 2020)

Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. - Parameswaran Kamalaruban; Yu-Ting Huang 003; Ya-Ping Hsieh; Paul Rolland; Cheng Shi; Volkan Cevher (NeurIPS, 2020)

The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets. - Ya-Ping Hsieh; Panayotis Mertikopoulos; Volkan Cevher (ICML, 2021)

The Dynamics of Riemannian Robbins-Monro Algorithms. - Mohammad Reza Karimi; Ya-Ping Hsieh; Panayotis Mertikopoulos; Andreas Krause 001 (COLT, 2022)

Recovering Stochastic Dynamics via Gaussian Schrödinger Bridges. - Charlotte Bunne; Ya-Ping Hsieh; Marco Cuturi; Andreas Krause 001 (CoRR, 2022)

Learning in games from a stochastic approximation viewpoint. - Panayotis Mertikopoulos; Ya-Ping Hsieh; Volkan Cevher (CoRR, 2022)

Continuous-time Analysis for Variational Inequalities: An Overview and Desiderata. - Tatjana Chavdarova; Ya-Ping Hsieh; Michael I. Jordan (CoRR, 2022)

The Schrödinger Bridge between Gaussian Measures has a Closed Form. - Charlotte Bunne; Ya-Ping Hsieh; Marco Cuturi; Andreas Krause 001 (AISTATS, 2023)

Riemannian stochastic optimization methods avoid strict saddle points. - Ya-Ping Hsieh; Mohammad Reza Karimi Jaghargh; Andreas Krause 001; Panayotis Mertikopoulos (NeurIPS, 2023)

A Dynamical System View of Langevin-Based Non-Convex Sampling. - Mohammad Reza Karimi Jaghargh; Ya-Ping Hsieh; Andreas Krause 001 (NeurIPS, 2023)

Stochastic Approximation Algorithms for Systems of Interacting Particles. - Mohammad Reza Karimi Jaghargh; Ya-Ping Hsieh; Andreas Krause 001 (NeurIPS, 2023)

Aligned Diffusion Schrödinger Bridges. - Vignesh Ram Somnath; Matteo Pariset; Ya-Ping Hsieh; María Rodríguez Martínez; Andreas Krause 001; Charlotte Bunne (UAI, 2023)

Unbalanced Diffusion Schrödinger Bridge. - Matteo Pariset; Ya-Ping Hsieh; Charlotte Bunne; Andreas Krause 001; Valentin De Bortoli (CoRR, 2023)

Sinkhorn Flow: A Continuous-Time Framework for Understanding and Generalizing the Sinkhorn Algorithm. - Mohammad Reza Karimi; Ya-Ping Hsieh; Andreas Krause 001 (CoRR, 2023)

Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm. - Mohammad Reza Karimi; Ya-Ping Hsieh; Andreas Krause 001 (AISTATS, 2024)

A unified stochastic approximation framework for learning in games. - Panayotis Mertikopoulos; Ya-Ping Hsieh; Volkan Cevher (Math. Program., 2024)

Provable Maximum Entropy Manifold Exploration via Diffusion Models. - Riccardo De Santi; Marin Vlastelica; Ya-Ping Hsieh; Zebang Shen; Niao He; Andreas Krause 001 (CoRR, 2025)