Huan Xu
Identifiers
- name variant Huan Xu 0.60 · backfill
Papers (53)
- Does RAG Know When Retrieval Is Wrong? Diagnosing Context Compliance under Knowledge Conflict cs.CL · 2026 · author #5
- MLCommons Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces cs.DC · 2026 · author #27
- Robust Out-of-Distribution Stochastic Optimization math.OC · 2026 · author #2
- A selection principle for 2D steady Euler flows via the vanishing viscosity limit math.AP · 2026 · author #3
- Bundle Adjustment in the Eager Mode cs.RO · 2024 · author #2
- Inductive Bias of Gradient Descent based Adversarial Training on Separable Data cs.LG · 2019 · author #3
- Robustness and Tractability for Non-convex M-estimators math.ST · 2019 · author #4
- Large Scale Markov Decision Processes with Changing Rewards cs.LG · 2019 · author #3
- LSwarm: Efficient Collision Avoidance for Large Swarms with Coverage Constraints in Complex Urban Scenes cs.RO · 2019 · author #5
- A Unified Framework for Marketing Budget Allocation cs.DS · 2019 · author #5
- RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series cs.LG · 2018 · author #5
- Risk-Averse Stochastic Convex Bandit cs.LG · 2018 · author #2
- Robust Hypothesis Testing Using Wasserstein Uncertainty Sets stat.ML · 2018 · author #4
- Projection-Free Algorithms in Statistical Estimation stat.ML · 2018 · author #3
- Communication-Efficient Projection-Free Algorithm for Distributed Optimization math.OC · 2018 · author #3
- Nonlinear Distributional Gradient Temporal-Difference Learning cs.LG · 2018 · author #3
- A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring eess.SP · 2018 · author #6
- Fast Global Convergence via Landscape of Empirical Loss stat.ML · 2018 · author #3
- Adaptive Recurrent Neural Network Based on Mixture Layer cs.LG · 2018 · author #5
- Learning Deep Mean Field Games for Modeling Large Population Behavior cs.LG · 2017 · author #4
- Non-convex Conditional Gradient Sliding math.OC · 2017 · author #3
- Reinforcement Learning under Model Mismatch cs.LG · 2017 · author #2
- Nearly second-order asymptotic optimality of sequential change-point detection with one-sample updates math.ST · 2017 · author #4
- Fake News Mitigation via Point Process Based Intervention cs.LG · 2017 · author #4
- SAGA and Restricted Strong Convexity stat.ML · 2017 · author #3
- Linear convergence of SDCA in statistical estimation stat.ML · 2017 · author #2
- Approximate Value Iteration for Risk-aware Markov Decision Processes cs.SY · 2017 · author #3
- Outlier Robust Online Learning cs.LG · 2017 · author #2
- Linear Convergence of SVRG in Statistical Estimation stat.ML · 2016 · author #3
- Online Nonnegative Matrix Factorization with General Divergences stat.ML · 2016 · author #3
- Accelerated Randomized Mirror Descent Algorithms For Composite Non-strongly Convex Optimization math.OC · 2016 · author #3
- Adaptive Maximization of Pointwise Submodular Functions With Budget Constraint cs.AI · 2016 · author #2
- Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms cs.LG · 2016 · author #5
- Online Gradient Descent in Function Space cs.LG · 2015 · author #2
- Online Crowdsourcing cs.LG · 2015 · author #2
- Central-limit approach to risk-aware Markov decision processes math.OC · 2015 · author #3
- On the Well-posedness of 2-D Incompressible Navier-Stokes Equations with Variable Viscosity in Critical Spaces math.AP · 2015 · author #1
- Social Trust Prediction via Max-norm Constrained 1-bit Matrix Completion cs.SI · 2015 · author #3
- Efficient Online Minimization for Low-Rank Subspace Clustering stat.ML · 2015 · author #3
- Distributionally Robust Counterpart in Markov Decision Processes cs.SY · 2015 · author #2
- Distributed Robust Learning stat.ML · 2014 · author #2
- Online Optimization for Large-Scale Max-Norm Regularization stat.ML · 2014 · author #2
- Noisy Sparse Subspace Clustering stat.ML · 2013 · author #2
- Scaling Up Robust MDPs by Reinforcement Learning cs.LG · 2013 · author #2
- Improved Graph Clustering stat.ML · 2012 · author #3
- Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation cs.IT · 2011 · author #2
- Clustering Partially Observed Graphs via Convex Optimization cs.LG · 2011 · author #4
- Matrix completion with column manipulation: Near-optimal sample-robustness-rank tradeoffs stat.ML · 2011 · author #2
- Robust PCA via Outlier Pursuit cs.LG · 2010 · author #1
- Robustness and Generalization cs.LG · 2010 · author #1
- Principal Component Analysis with Contaminated Data: The High Dimensional Case stat.ML · 2010 · author #1
- Robust Regression and Lasso cs.IT · 2008 · author #1
- Robustness and Regularization of Support Vector Machines cs.LG · 2008 · author #1
Mentions
- 1510.08196 #1 · backfill · confidence 0.70 Huan Xu
- 1701.01290 #3 · arxiv_oai · confidence 0.70 Huan Xu
- 1608.00075 #3 · arxiv_oai · confidence 0.70 Huan Xu
- 1512.00583 #3 · arxiv_oai · confidence 0.70 Huan Xu
- 1501.07418 #2 · arxiv_oai · confidence 0.70 Huan Xu
- 1504.06394 #3 · backfill · confidence 0.70 Huan Xu
- 1503.08356 #3 · backfill · confidence 0.70 Huan Xu
- 1501.07418 #2 · backfill · confidence 0.70 Huan Xu
- 1409.5937 #2 · backfill · confidence 0.70 Huan Xu
- 1406.3190 #2 · backfill · confidence 0.70 Huan Xu
- 1309.1233 #2 · backfill · confidence 0.70 Huan Xu
- 1306.6189 #2 · backfill · confidence 0.70 Huan Xu
- 1210.3335 #3 · backfill · confidence 0.70 Huan Xu
- 1109.1646 #2 · backfill · confidence 0.70 Huan Xu
- 2601.08647 #3 · arxiv_oai · confidence 0.70 Huan Xu
- 1104.4803 #4 · backfill · confidence 0.70 Huan Xu
- 2409.12190 #2 · arxiv_oai · confidence 0.70 Huan Xu
- 2605.11333 #27 · arxiv_oai · confidence 0.70 Huan Xu
- 2605.14473 #5 · arxiv_oai · confidence 0.70 Huan Xu
- 1102.2254 #2 · backfill · confidence 0.70 Huan Xu
- 1010.4237 #1 · backfill · confidence 0.70 Huan Xu
- 1005.2243 #1 · backfill · confidence 0.70 Huan Xu
- 1002.4658 #1 · backfill · confidence 0.70 Huan Xu
- 0811.1790 #1 · backfill · confidence 0.70 Huan Xu
- 0803.3490 #1 · backfill · confidence 0.70 Huan Xu
Frequent Coauthors
- Shie Mannor 9 shared papers
- Chao Qu 8 shared papers
- Yan Li 7 shared papers
- Constantine Caramanis 5 shared papers
- Jiashi Feng 4 shared papers
- Sujay Sanghavi 4 shared papers
- Jie Shen 3 shared papers
- Pengqian Yu 3 shared papers
- Yudong Chen 3 shared papers
- Adrian Rivera Cardoso 2 shared papers
- Changbo Zhu 2 shared papers
- Cheng Yang 2 shared papers
- Hongyuan Zha 2 shared papers
- Jiachen Yang 2 shared papers
- Kui Zhao 2 shared papers
- Liyan Xie 2 shared papers
- Ping Li 2 shared papers
- Rakshit Trivedi 2 shared papers
- Shuicheng Yan 2 shared papers
- Xiaojing Ye 2 shared papers