Ya-Ping Hsieh - RankMe

50 papers A* 11A 3B 1Misc 1Journal 29Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Unified Density Operator View of Flow Control and Merging. CoRR Riccardo De Santi, Malte Franke, Ya-Ping Hsieh, Andreas Krause
2026	J	`jnl`	Manifold Generalization Provably Proceeds Memorization in Diffusion Models. CoRR Zebang Shen, Ya-Ping Hsieh, Niao He
2026	J	`jnl`	Verifier-Constrained Flow Expansion for Discovery Beyond the Data. CoRR Riccardo De Santi, Kimon Protopapas, Ya-Ping Hsieh, Andreas Krause
2025	J	`jnl`	Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning. CoRR Riccardo De Santi, Marin Vlastelica, Ya-Ping Hsieh, Zebang Shen, Niao He, Andreas Krause
2025	A*	`conf`	Provable Maximum Entropy Manifold Exploration via Diffusion Models. ICML Riccardo De Santi, Marin Vlastelica, Ya-Ping Hsieh, Zebang Shen, Niao He, Andreas Krause
2025	J	`jnl`	Provable Maximum Entropy Manifold Exploration via Diffusion Models. CoRR Riccardo De Santi, Marin Vlastelica, Ya-Ping Hsieh, Zebang Shen, Niao He, Andreas Krause
2025	J	`jnl`	When Scores Learn Geometry: Rate Separations under the Manifold Hypothesis. CoRR Xiang Li, Zebang Shen, Ya-Ping Hsieh, Niao He
2024	J	`jnl`	A unified stochastic approximation framework for learning in games. Math. Program. Panayotis Mertikopoulos, Ya-Ping Hsieh, Volkan Cevher
2024	A	`conf`	Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm. AISTATS Mohammad Reza Karimi, Ya-Ping Hsieh, Andreas Krause
2023	A*	`conf`	A Dynamical System View of Langevin-Based Non-Convex Sampling. NeurIPS Mohammad Reza Karimi Jaghargh, Ya-Ping Hsieh, Andreas Krause
2023	A	`conf`	Aligned Diffusion Schrödinger Bridges. UAI Vignesh Ram Somnath, Matteo Pariset, Ya-Ping Hsieh, María Rodríguez Martínez, Andreas Krause, Charlotte Bunne
2023	J	`jnl`	Aligned Diffusion Schrödinger Bridges. CoRR Vignesh Ram Somnath, Matteo Pariset, Ya-Ping Hsieh, María Rodríguez Martínez, Andreas Krause, Charlotte Bunne
2023	A*	`conf`	Riemannian stochastic optimization methods avoid strict saddle points. NeurIPS Ya-Ping Hsieh, Mohammad Reza Karimi Jaghargh, Andreas Krause, Panayotis Mertikopoulos
2023	J	`jnl`	Riemannian stochastic optimization methods avoid strict saddle points. CoRR Ya-Ping Hsieh, Mohammad Reza Karimi, Andreas Krause, Panayotis Mertikopoulos
2023	J	`jnl`	Sinkhorn Flow: A Continuous-Time Framework for Understanding and Generalizing the Sinkhorn Algorithm. CoRR Mohammad Reza Karimi, Ya-Ping Hsieh, Andreas Krause
2023	A*	`conf`	Stochastic Approximation Algorithms for Systems of Interacting Particles. NeurIPS Mohammad Reza Karimi Jaghargh, Ya-Ping Hsieh, Andreas Krause
2023	A	`conf`	The Schrödinger Bridge between Gaussian Measures has a Closed Form. AISTATS Charlotte Bunne, Ya-Ping Hsieh, Marco Cuturi, Andreas Krause
2023	J	`jnl`	Unbalanced Diffusion Schrödinger Bridge. CoRR Matteo Pariset, Ya-Ping Hsieh, Charlotte Bunne, Andreas Krause, Valentin De Bortoli
2022	J	`jnl`	A Dynamical System View of Langevin-Based Non-Convex Sampling. CoRR Mohammad Reza Karimi, Ya-Ping Hsieh, Andreas Krause
2022	J	`jnl`	Continuous-time Analysis for Variational Inequalities: An Overview and Desiderata. CoRR Tatjana Chavdarova, Ya-Ping Hsieh, Michael I. Jordan
2022	J	`jnl`	Learning in games from a stochastic approximation viewpoint. CoRR Panayotis Mertikopoulos, Ya-Ping Hsieh, Volkan Cevher
2022	J	`jnl`	Recovering Stochastic Dynamics via Gaussian Schrödinger Bridges. CoRR Charlotte Bunne, Ya-Ping Hsieh, Marco Cuturi, Andreas Krause
2022	A*	`conf`	The Dynamics of Riemannian Robbins-Monro Algorithms. COLT Mohammad Reza Karimi, Ya-Ping Hsieh, Panayotis Mertikopoulos, Andreas Krause
2022	J	`jnl`	The Dynamics of Riemannian Robbins-Monro Algorithms. CoRR Mohammad Reza Karimi, Ya-Ping Hsieh, Panayotis Mertikopoulos, Andreas Krause
2021	A*	`conf`	The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets. ICML Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher
2020	A*	`conf`	Conditional gradient methods for stochastically constrained convex minimization. ICML Maria-Luiza Vladarean, Ahmet Alacaoglu, Ya-Ping Hsieh, Volkan Cevher
2020	J	`jnl`	Conditional gradient methods for stochastically constrained convex minimization. CoRR Maria-Luiza Vladarean, Ahmet Alacaoglu, Ya-Ping Hsieh, Volkan Cevher
2020	A*	`conf`	Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. NeurIPS Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher
2020	J	`jnl`	Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. CoRR Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher
2020	J	`jnl`	The limits of min-max optimization algorithms: convergence to spurious non-critical sets. CoRR Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher
2019	A*	`conf`	Finding Mixed Nash Equilibria of Generative Adversarial Networks. ICML Ya-Ping Hsieh, Chen Liu, Volkan Cevher
2018	J	`jnl`	A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization. IEEE Trans. Signal Process. Ya-Ping Hsieh, Yu-Chun Kao, Rabeeh Karimi Mahabadi, Alp Yurtsever, Anastasios Kyrillidis, Volkan Cevher
2018	B	`conf`	Dimension-free Information Concentration via Exp-Concavity. ALT Ya-Ping Hsieh, Volkan Cevher
2018	J	`jnl`	Dimension-free Information Concentration via Exp-Concavity. CoRR Ya-Ping Hsieh, Volkan Cevher
2018	J	`jnl`	Finding Mixed Nash Equilibria of Generative Adversarial Networks. CoRR Ya-Ping Hsieh, Chen Liu, Volkan Cevher
2018	A*	`conf`	Let's be Honest: An Optimal No-Regret Framework for Zero-Sum Games. ICML Ehsan Asadi Kangarshahi, Ya-Ping Hsieh, Mehmet Fatih Sahin, Volkan Cevher
2018	J	`jnl`	Let's be honest: An optimal no-regret framework for zero-sum games. CoRR Ehsan Asadi Kangarshahi, Ya-Ping Hsieh, Mehmet Fatih Sahin, Volkan Cevher
2018	A*	`conf`	Mirrored Langevin Dynamics. NeurIPS Ya-Ping Hsieh, Ali Kavis, Paul Rolland, Volkan Cevher
2018	J	`jnl`	Mirrored Langevin Dynamics. CoRR Ya-Ping Hsieh, Volkan Cevher
2016	—	`conf`	An Efficient Streaming Algorithm for the Submodular Cover Problem. NIPS Ashkan Norouzi-Fard, Abbas Bazzi, Ilija Bogunovic, Marwa El Halabi, Ya-Ping Hsieh, Volkan Cevher
2016	J	`jnl`	An Efficient Streaming Algorithm for the Submodular Cover Problem. CoRR Ashkan Norouzi-Fard, Abbas Bazzi, Marwa El Halabi, Ilija Bogunovic, Ya-Ping Hsieh, Volkan Cevher
2016	—	`conf`	Estimation error of the constrained lasso. Allerton Nissim Zerbib, Yen-Huan Li, Ya-Ping Hsieh, Volkan Cevher
2016	Misc	`conf`	Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval. ICASSP Gergely Ódor, Yen-Huan Li, Alp Yurtsever, Ya-Ping Hsieh, Quoc Tran-Dinh, Marwa El Halabi, Volkan Cevher
2016	J	`jnl`	Stochastic Spectral Descent for Discrete Graphical Models. IEEE J. Sel. Top. Signal Process. David E. Carlson, Ya-Ping Hsieh, Edo Collins, Lawrence Carin, Volkan Cevher
2015	—	`conf`	Preconditioned Spectral Descent for Deep Learning. NIPS David E. Carlson, Edo Collins, Ya-Ping Hsieh, Lawrence Carin, Volkan Cevher
2015	—	`conf`	Scalable convex methods for phase retrieval. CAMSAP Alp Yurtsever, Ya-Ping Hsieh, Volkan Cevher
2013	J	`jnl`	Flexible transparent electrodes made of electrochemically exfoliated graphene sheets from low-cost graphite pieces. Displays Chuen-Ming Gee, Chien-Chih Tseng, Feng-Yu Wu, Hsin-Ping Chang, Lain-Jong Li, Ya-Ping Hsieh, Cheng-Te Lin, Jyh-Chen Chen
2013	J	`jnl`	Mathematical Foundations for Information Theory in Diffusion-Based Molecular Communications. CoRR Ya-Ping Hsieh, Ping-Cheng Yeh
2013	J	`jnl`	On the asynchronous information embedding for event-driven systems in molecular communications. Nano Commun. Networks Ya-Ping Hsieh, Yen-Chi Lee, Po-Jen Shih, Ping-Cheng Yeh, Kwang-Cheng Chen
2012	—	`conf`	An asynchronous communication scheme for molecular communication. ICC Ya-Ping Hsieh, Po-Jen Shih, Yen-Chi Lee, Ping-Cheng Yeh, Kwang-Cheng Chen