← Authors

Zebang Shen

29 papers · 2015–2025 · 7 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (10) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (36) 🌍 Conference Polyglot (7) 🀝 Dynamic Duo (17) πŸ† Grand Slam πŸ”₯ Unstoppable (11) πŸ’Ž Century Club (29) ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (117)

Conferences

AISTATS (6) IJCAI (6) AAAI (5) NIPS (5) ICLR (3) ICML (3) COLT (1)

Top co-authors

Hui Qian (17) Chao Zhang (12) Hamed Hassani (9) Jiahao Xie (8) Tengfei Zhou (6) Alejandro Ribeiro (5) Zhenfu Wang (4) Amin Karbasi (4) Aryan Mokhtari (3) Peilin Zhao (3)

Keywords

optimal transport (3) convergence rate (3) markov chain monte carlo (2) gradient estimator (2) functional gradient descent (2) federated learning (2) variance reduction (2) stochastic gradient descent (2) stochastic optimization (2) generative adversarial network (2) stochastic gradient (2) convex optimization (2) decentralized optimization (2) policy gradient (2) projection-free optimization (2) sinkhorn divergence (2) wasserstein distance (2) bayesian inference (1) variational inference (1) langevin dynamics (1)

Papers

Learning to Steer Markovian Agents under Model Uncertainty ICLR 2025
Provable Maximum Entropy Manifold Exploration via Diffusion Models ICML 2025
Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NIPS 2024
Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs NIPS 2023
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning ICLR 2023
CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems AAAI 2023
Federated Functional Gradient Boosting AISTATS 2022
From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs AAAI 2022
An Agnostic Approach to Federated Learning with Class Imbalance ICLR 2022
Self-Consistency of the Fokker Planck Equation COLT 2022
A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method AAAI 2021
Accelerating Stratified Sampling SGD by Reconstructing Strata IJCAI 2020
Sinkhorn Barycenter via Functional Gradient Descent NIPS 2020
Sinkhorn Natural Gradient for Generative Models NIPS 2020
Efficient Projection-Free Online Methods with Stochastic Recursive Gradient AAAI 2020
Aggregated Gradient Langevin Dynamics AAAI 2020
One Sample Stochastic Frank-Wolfe AISTATS 2020
Multitask Metric Learning: Theory and Algorithm AISTATS 2019
Decentralized Gradient Tracking for Continuous DR-Submodular Maximization AISTATS 2019
Complexities in Projection-Free Stochastic Non-convex Minimization AISTATS 2019
Hessian Aided Policy Gradient ICML 2019
Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match NIPS 2019
Towards Memory-Friendly Deterministic Incremental Gradient Method AISTATS 2018
JUMP: a Jointly Predictor for User Click and Dwell Time IJCAI 2018
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication ICML 2018
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization IJCAI 2017
Tensor Completion with Side Information: A Riemannian Manifold Approach IJCAI 2017
Adaptive Variance Reducing for Stochastic Gradient Descent IJCAI 2016
Simple Atom Selection Strategy for Greedy Matrix Completion IJCAI 2015