Yining Wang

is this you? claim profile

∙ 0 followers
Carnegie Mellon University ∙ Peking University

PhD student, Machine Learning Department at Carnegie Mellon University

Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs

In this paper, the problem of optimizing the deployment of unmanned aeri...
09/17/2019 ∙ by Yining Wang, et al. ∙ 5 ∙ share

read it
√(n)-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank

In this paper, we consider the problem of online learning of Markov deci...
09/05/2019 ∙ by Kefan Dong, et al. ∙ 4 ∙ share

read it
Convergence Rates of Latent Topic Models Under Relaxed Identifiability Conditions

In this paper we study the frequentist convergence rate for the Latent D...
10/30/2017 ∙ by Yining Wang, et al. ∙ 0 ∙ share

read it
Stochastic Zeroth-order Optimization in High Dimensions

We consider the problem of optimizing a high-dimensional convex function...
10/29/2017 ∙ by Yining Wang, et al. ∙ 0 ∙ share

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

In this note we prove a tight lower bound for the MNL-bandit assortment ...
09/18/2017 ∙ by Xi Chen, et al. ∙ 0 ∙ share

read it
Non-stationary Stochastic Optimization with Local Spatial and Temporal Changes

We consider a non-stationary sequential stochastic optimization problem,...
08/09/2017 ∙ by Xi Chen, et al. ∙ 0 ∙ share

read it
Sequence Modeling via Segmentations

Segmental structure is a common pattern in many types of sequences such ...
02/24/2017 ∙ by Chong Wang, et al. ∙ 0 ∙ share

read it
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems

We show that given an estimate A that is close to a general high-rank po...
02/22/2017 ∙ by Simon S. Du, et al. ∙ 0 ∙ share

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

Although a majority of the theoretical literature in high-dimensional st...
02/09/2017 ∙ by Yining Wang, et al. ∙ 0 ∙ share

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

Subspace clustering is the problem of partitioning unlabeled data points...
10/24/2016 ∙ by Yining Wang, et al. ∙ 0 ∙ share

read it
Online and Differentially-Private Tensor Decomposition

In this paper, we resolve many of the key algorithmic questions regardin...
06/20/2016 ∙ by Yining Wang, et al. ∙ 0 ∙ share

read it
An Improved Gap-Dependency Analysis of the Noisy Power Method

We consider the noisy power method algorithm, which has wide application...
02/23/2016 ∙ by Maria-Florina Balcan, et al. ∙ 0 ∙ share

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

We derive computationally tractable methods to select a small subset of ...
01/09/2016 ∙ by Yining Wang, et al. ∙ 0 ∙ share

read it
Fast and Guaranteed Tensor Decomposition via Sketching

Tensor CANDECOMP/PARAFAC (CP) decomposition has wide applications in sta...
06/14/2015 ∙ by Yining Wang, et al. ∙ 0 ∙ share

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

We consider the problem of matrix column subset selection, which selects...
05/17/2015 ∙ by Yining Wang, et al. ∙ 0 ∙ share

read it
Graph Connectivity in Noisy Sparse Subspace Clustering

Subspace clustering is the problem of clustering data points into a unio...
04/04/2015 ∙ by Yining Wang, et al. ∙ 0 ∙ share

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

We present a simple noise-robust margin-based active learning algorithm ...
06/20/2014 ∙ by Yining Wang, et al. ∙ 0 ∙ share

read it
A Theoretical Analysis of NDCG Type Ranking Measures

A central problem in ranking is to design a ranking measure for evaluati...
04/24/2013 ∙ by Yining Wang, et al. ∙ 0 ∙ share

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

Neural machine translation (NMT), a new approach to machine translation,...
11/13/2017 ∙ by Yining Wang, et al. ∙ 0 ∙ share

read it
Towards Neural Machine Translation with Partially Aligned Corpora

While neural machine translation (NMT) has become the new paradigm, the ...
11/03/2017 ∙ by Yining Wang, et al. ∙ 0 ∙ share

read it
Spectral Learning for Supervised Topic Models

Supervised topic models simultaneously model the latent topic structure ...
02/19/2016 ∙ by Yong Ren, et al. ∙ 0 ∙ share

read it
Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models

In this paper we consider the dynamic assortment selection problem under...
05/12/2018 ∙ by Yining Wang, et al. ∙ 0 ∙ share

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

The experimental design problem concerns the selection of k points from ...
11/14/2017 ∙ by Zeyuan Allen-Zhu, et al. ∙ 0 ∙ share

read it
How Many Samples are Needed to Learn a Convolutional Neural Network?

A widespread folklore for explaining the success of convolutional neural...
05/21/2018 ∙ by Simon S. Du, et al. ∙ 0 ∙ share

read it
Direct Learning to Rank and Rerank

Learning-to-rank techniques have proven to be extremely useful for prior...
02/21/2018 ∙ by Cynthia Rudin, et al. ∙ 0 ∙ share

read it
Phrase Table as Recommendation Memory for Neural Machine Translation

Neural Machine Translation (NMT) has drawn much attention due to its pro...
05/25/2018 ∙ by Yang Zhao, et al. ∙ 0 ∙ share

read it
Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates

We consider the problem of global optimization of an unknown non-convex ...
03/22/2018 ∙ by Yining Wang, et al. ∙ 0 ∙ share

read it
Dynamic Assortment Selection under the Nested Logit Models

We study a stylized dynamic assortment planning problem during a selling...
06/27/2018 ∙ by Xi Chen, et al. ∙ 0 ∙ share

read it
Robust Nonparametric Regression under Huber's ε-contamination Model

We consider the non-parametric regression problem under Huber's ϵ-contam...
05/26/2018 ∙ by Simon S. Du, et al. ∙ 0 ∙ share

read it
Near-Linear Time Local Polynomial Nonparametric Estimation

Local polynomial regression (Fan & Gijbels, 1996) is an important class ...
02/26/2018 ∙ by Yining Wang, et al. ∙ 0 ∙ share

read it
Dynamic Assortment Optimization with Changing Contextual Information

In this paper, we study the dynamic assortment optimization problem unde...
10/31/2018 ∙ by Xi Chen, et al. ∙ 0 ∙ share

read it
Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits

We study the linear contextual bandit problem with finite action sets. W...
03/30/2019 ∙ by Yingkai Li, et al. ∙ 0 ∙ share

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

In this note we prove bounds on the upper and lower probability tails of...
02/07/2019 ∙ by Yaonan Jin, et al. ∙ 0 ∙ share

read it
Tight Regret Bounds for Infinite-armed Linear Contextual Bandits

Linear contextual bandit is a class of sequential decision making proble...
05/04/2019 ∙ by Yingkai Li, et al. ∙ 0 ∙ share

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

An important task in structural design is to quantify the structural per...
10/25/2018 ∙ by Yining Wang, et al. ∙ 0 ∙ share

read it
NCLS: Neural Cross-Lingual Summarization

Cross-lingual summarization (CLS) is the task to produce a summary in on...
08/31/2019 ∙ by Junnan Zhu, et al. ∙ 0 ∙ share

read it
Robust Dynamic Assortment Optimization in the Presence of Outlier Customers

We consider the dynamic assortment optimization problem under the multin...
10/09/2019 ∙ by Xi Chen, et al. ∙ 0 ∙ share

read it
Optimism in Reinforcement Learning with Generalized Linear Function Approximation

We design a new provably efficient algorithm for episodic reinforcement ...
12/09/2019 ∙ by Yining Wang, et al. ∙ 0 ∙ share

read it

Yining Wang

Featured Co-authors