Ya-Ping Hsieh
17 papers · 2015–2025 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
🏃 Academic Marathon (10) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (10)
🏃
Academic Marathon
(10)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(10)
🗃️
Keyword Collector
(91)
💎
Century Club
(17)
🔥
Unstoppable
(8)
📈
Trend Setter
⚡
Prolific Year
(5)
Conferences
NIPS (7)
ICML (5)
AISTATS (2)
ALT (1)
COLT (1)
UAI (1)
Top co-authors
Keywords
langevin dynamics
(3)
mirror descent
(3)
non-convex optimization
(2)
stochastic approximation
(2)
riemannian optimization
(2)
optimal transport
(2)
dynamical system
(2)
gradient descent
(2)
convergence analysis
(2)
stochastic gradient
(1)
convex optimization
(1)
variational inference
(1)
game theory
(1)
latent dirichlet allocation
(1)
generative modeling
(1)
neural network training
(1)
stochastic optimization
(1)
deep learning
(1)
robust reinforcement learning
(1)
adversarial training
(1)
Papers
Provable Maximum Entropy Manifold Exploration via Diffusion Models
ICML 2025
Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm
AISTATS 2024
Aligned Diffusion Schrödinger Bridges
UAI 2023
Riemannian stochastic optimization methods avoid strict saddle points
NIPS 2023
A Dynamical System View of Langevin-Based Non-Convex Sampling
NIPS 2023
Stochastic Approximation Algorithms for Systems of Interacting Particles
NIPS 2023
The Schrödinger Bridge between Gaussian Measures has a Closed Form
AISTATS 2023
The Dynamics of Riemannian Robbins-Monro Algorithms
COLT 2022
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets
ICML 2021
Conditional gradient methods for stochastically constrained convex minimization
ICML 2020
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
NIPS 2020
Finding Mixed Nash Equilibria of Generative Adversarial Networks
ICML 2019
Let’s be Honest: An Optimal No-Regret Framework for Zero-Sum Games
ICML 2018
Mirrored Langevin Dynamics
NIPS 2018
Dimension-free Information Concentration via Exp-Concavity
ALT 2018
An Efficient Streaming Algorithm for the Submodular Cover Problem
NIPS 2016
Preconditioned Spectral Descent for Deep Learning
NIPS 2015