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papers

Publications (29)

math.ST2018

Robust Nonparametric Regression under Huber's $ε$-contamination Model

Simon S. Du, Yining Wang, Sivaraman Balakrishnan +2

cs.LG2016

Data Poisoning Attacks on Factorization-Based Collaborative Filtering

Bo Li, Yining Wang, Aarti Singh +1

cs.LG2016

Spectral Learning for Supervised Topic Models

Yong Ren, Yining Wang, Jun Zhu

stat.ML2019

An Optimal Policy for Dynamic Assortment Planning Under Uncapacitated Multinomial Logit Models

Xi Chen, Yining Wang, Yuan Zhou

stat.ML2018

Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data

Yining Wang, Aarti Singh

stat.ML2016

A Theoretical Analysis of Noisy Sparse Subspace Clustering on Dimensionality-Reduced Data

Yining Wang, Yu-Xiang Wang, Aarti Singh

stat.ML2017

Rate Optimal Estimation and Confidence Intervals for High-dimensional Regression with Missing Covariates

Yining Wang, Jialei Wang, Sivaraman Balakrishnan +1

stat.ML2017

On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models

Yining Wang, Adams Wei Yu, Aarti Singh

cs.CL2018

Phrase Table as Recommendation Memory for Neural Machine Translation

Yang Zhao, Yining Wang, Jiajun Zhang +1

math.ST2019

On Asymptotically Tight Tail Bounds for Sums of Geometric and Exponential Random Variables

Yaonan Jin, Yingkai Li, Yining Wang +1

stat.ML2018

Sequence Modeling via Segmentations

Chong Wang, Yining Wang, Po-Sen Huang +3

stat.ML2016

Graph Connectivity in Noisy Sparse Subspace Clustering

Yining Wang, Yu-Xiang Wang, Aarti Singh

stat.ML2018

Convergence Rates of Latent Topic Models Under Relaxed Identifiability Conditions

Yining Wang

physics.bio-ph2018

Fe3O4@astragalus polysaccharide core-shell nanoparticles for iron deficiency anemia therapy and magnetic resonance imaging in vivo

Kai Wang, Lina Li, Xiaoguang Xu +7

econ.EM2019

Dynamic Assortment Optimization with Changing Contextual Information

Xi Chen, Yining Wang, Yuan Zhou

stat.ML2017

Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach

Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh +1

cs.CL2017

Towards Neural Machine Translation with Partially Aligned Corpora

Yining Wang, Yang Zhao, Jiajun Zhang +2

stat.ML2018

Efficient Load Sampling for Worst-Case Structural Analysis Under Force Location Uncertainty

Yining Wang, Erva Ulu, Aarti Singh +1

cs.CL2017

Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMT

Yining Wang, Long Zhou, Jiajun Zhang +1

cs.LG2013

A Theoretical Analysis of NDCG Type Ranking Measures

Yining Wang, Liwei Wang, Yuanzhi Li +3

stat.ML2018

Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates

Yining Wang, Sivaraman Balakrishnan, Aarti Singh

stat.ML2018

Direct Learning to Rank and Rerank

Cynthia Rudin, Yining Wang

stat.ML2015

Fast and Guaranteed Tensor Decomposition via Sketching

Yining Wang, Hsiao-Yu Tung, Alexander Smola +1

stat.ML2018

A Note on a Tight Lower Bound for MNL-Bandit Assortment Selection Models

Xi Chen, Yining Wang

stat.ML2015

Noise-adaptive Margin-based Active Learning and Lower Bounds under Tsybakov Noise Condition

Yining Wang, Aarti Singh

stat.ML2018

Stochastic Zeroth-order Optimization in High Dimensions

Yining Wang, Simon Du, Sivaraman Balakrishnan +1

stat.ML2018

Non-stationary Stochastic Optimization under $L_{p,q}$-Variation Measures

Xi Chen, Yining Wang, Yu-Xiang Wang

stat.ML2016

Online and Differentially-Private Tensor Decomposition

Yining Wang, Animashree Anandkumar

stat.ML2019

How Many Samples are Needed to Estimate a Convolutional or Recurrent Neural Network?

Simon S. Du, Yining Wang, Xiyu Zhai +3