Yining Wang
52 papers · 2013–2026 · 13 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 31% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Yining Wang?
8 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Aarti Singh, Yu-Xiang Wang, Sivaraman Balakrishnan
16 papers
· 2013–2021
· NeurIPS, AISTATS, JMLR
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Optimism in Reinforcement Learning with Generalized Linear Function Approximation
ICLR 2021
Smooth Bandit Optimization: Generalization to Holder Space
AISTATS 2021
How Many Samples are Needed to Estimate a Convolutional Neural Network?
NeurIPS 2018
Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates
NeurIPS 2018
Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data
JMLR 2018
Stochastic Zeroth-order Optimization in High Dimensions
AISTATS 2018
Near-Optimal Design of Experiments via Regret Minimization
ICML 2017
On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models
JMLR 2017
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems
NeurIPS 2017
An Improved Gap-Dependency Analysis of the Noisy Power Method
COLT 2016
Data Poisoning Attacks on Factorization-Based Collaborative Filtering
NeurIPS 2016
Graph Connectivity in Noisy Sparse Subspace Clustering
AISTATS 2016
A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data
ICML 2015
Column Subset Selection with Missing Data via Active Sampling
AISTATS 2015
Differentially private subspace clustering
NeurIPS 2015
A Theoretical Analysis of NDCG Type Ranking Measures
COLT 2013
5 papers whose co-authors appear nowhere else under this name
Cheap Character Noise for OCR-Robust Multilingual Embeddings
ACL 2025
Left Ventricle Contouring in Cardiac Images Based on Deep Reinforcement Learning
MIDL 2022
Co-Attentive Multi-Task Learning for Explainable Recommendation
IJCAI 2019
Direct Learning to Rank And Rerank
AISTATS 2018
Sequence Modeling via Segmentations
ICML 2017