b'Yining Wang'

research

∙ 06/21/2023

Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms

In stochastic zeroth-order optimization, a problem of practical relevanc...

0 Qian Yu, et al. ∙

research

∙ 06/13/2023

Contextual Dictionary Lookup for Knowledge Graph Completion

Knowledge graph completion (KGC) aims to solve the incompleteness of kno...

0 Jining Wang, et al. ∙

research

∙ 06/02/2023

Leveraging Auxiliary Domain Parallel Data in Intermediate Task Fine-tuning for Low-resource Translation

NMT systems trained on Pre-trained Multilingual Sequence-Sequence (PMSS)...

0 Shravan Nayak, et al. ∙

research

∙ 01/01/2023

Optimization of Image Transmission in a Cooperative Semantic Communication Networks

In this paper, a semantic communication framework for image transmission...

0 Wenjing Zhang, et al. ∙

research

∙ 11/30/2022

xTrimoABFold: Improving Antibody Structure Prediction without Multiple Sequence Alignments

In the field of antibody engineering, an essential task is to design a n...

0 Yining Wang, et al. ∙

research

∙ 10/11/2022

On Adaptivity in Non-stationary Stochastic Optimization With Bandit Feedback

In this paper we study the non-stationary stochastic optimization questi...

0 Yining Wang, et al. ∙

research

∙ 09/16/2022

Detecting Political Biases of Named Entities and Hashtags on Twitter

Ideological divisions in the United States have become increasingly prom...

4 Zhiping Xiao, et al. ∙

research

∙ 08/17/2022

Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach

In this paper, a semantic communication framework is proposed for textua...

10 Yining Wang, et al. ∙

research

∙ 07/22/2022

Fairness-aware Network Revenue Management with Demand Learning

In addition to maximizing the total revenue, decision-makers in lots of ...

2 Xi Chen, et al. ∙

research

∙ 09/10/2021

Differential Privacy in Personalized Pricing with Nonparametric Demand Models

In the recent decades, the advance of information technology and abundan...

0 Xi Chen, et al. ∙

research

∙ 01/29/2021

Meta-Reinforcement Learning for Reliable Communication in THz/VLC Wireless VR Networks

In this paper, the problem of enhancing the quality of virtual reality (...

0 Yining Wang, et al. ∙

research

∙ 01/05/2021

Adversarial Combinatorial Bandits with General Non-linear Reward Functions

In this paper we study the adversarial combinatorial bandit with a known...

0 Xi Chen, et al. ∙

research

∙ 12/11/2020

Smooth Bandit Optimization: Generalization to Hölder Space

We consider bandit optimization of a smooth reward function, where the g...

0 Yusha Liu, et al. ∙

research

∙ 09/27/2020

Privacy-Preserving Dynamic Personalized Pricing with Demand Learning

The prevalence of e-commerce has made detailed customers' personal infor...

6 Xi Chen, et al. ∙

research

∙ 09/07/2020

Nearly Bounded Regret of Re-solving Heuristics in Price-based Revenue Management

Price-based revenue management is a class of important questions in oper...

0 Yining Wang, et al. ∙

research

∙ 09/04/2020

Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection

We consider the stochastic contextual bandit problem under the high dime...

5 Yining Wang, et al. ∙

research

∙ 03/16/2020

Uncertainty Quantification for Demand Prediction in Contextual Dynamic Pricing

Data-driven sequential decision has found a wide range of applications i...

17 Xi Chen, et al. ∙

research

∙ 12/09/2019

Optimism in Reinforcement Learning with Generalized Linear Function Approximation

We design a new provably efficient algorithm for episodic reinforcement ...

0 Yining Wang, et al. ∙

research

∙ 10/09/2019

Robust Dynamic Assortment Optimization in the Presence of Outlier Customers

We consider the dynamic assortment optimization problem under the multin...

0 Xi Chen, et al. ∙

research

∙ 09/17/2019

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...

5 Yining Wang, et al. ∙

research

∙ 09/05/2019

√(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...

4 Kefan Dong, et al. ∙

research

∙ 08/31/2019

NCLS: Neural Cross-Lingual Summarization

Cross-lingual summarization (CLS) is the task to produce a summary in on...

0 Junnan Zhu, et al. ∙

research

∙ 05/04/2019

Tight Regret Bounds for Infinite-armed Linear Contextual Bandits

Linear contextual bandit is a class of sequential decision making proble...

0 Yingkai Li, et al. ∙

research

∙ 03/30/2019

Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits

We study the linear contextual bandit problem with finite action sets. W...

0 Yingkai Li, et al. ∙

research

∙ 02/07/2019

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...

0 Yaonan Jin, et al. ∙

research

∙ 10/31/2018

Dynamic Assortment Optimization with Changing Contextual Information

In this paper, we study the dynamic assortment optimization problem unde...

0 Xi Chen, et al. ∙

research

∙ 10/25/2018

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

An important task in structural design is to quantify the structural per...

0 Yining Wang, et al. ∙

research

∙ 06/27/2018

Dynamic Assortment Selection under the Nested Logit Models

We study a stylized dynamic assortment planning problem during a selling...

0 Xi Chen, et al. ∙

research

∙ 05/26/2018

Robust Nonparametric Regression under Huber's ε-contamination Model

We consider the non-parametric regression problem under Huber's ϵ-contam...

0 Simon S. Du, et al. ∙

research

∙ 05/25/2018

Phrase Table as Recommendation Memory for Neural Machine Translation

Neural Machine Translation (NMT) has drawn much attention due to its pro...

0 fcq, et al. ∙

research

∙ 05/21/2018

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

A widespread folklore for explaining the success of convolutional neural...

0 Simon S. Du, et al. ∙

research

∙ 05/12/2018

Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models

In this paper we consider the dynamic assortment selection problem under...

0 Yining Wang, et al. ∙

research

∙ 03/22/2018

Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates

We consider the problem of global optimization of an unknown non-convex ...

0 Yining Wang, et al. ∙

research

∙ 02/26/2018

Near-Linear Time Local Polynomial Nonparametric Estimation

Local polynomial regression (Fan & Gijbels, 1996) is an important class ...

0 Yining Wang, et al. ∙

research

∙ 02/21/2018

Direct Learning to Rank and Rerank

Learning-to-rank techniques have proven to be extremely useful for prior...

0 Cynthia Rudin, et al. ∙

research

∙ 11/14/2017

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

The experimental design problem concerns the selection of k points from ...

0 Zeyuan Allen-Zhu, et al. ∙

research

∙ 11/13/2017

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

Neural machine translation (NMT), a new approach to machine translation,...

0 Yining Wang, et al. ∙

research

∙ 11/03/2017

Towards Neural Machine Translation with Partially Aligned Corpora

While neural machine translation (NMT) has become the new paradigm, the ...

0 Yining Wang, et al. ∙

research

∙ 10/30/2017

Convergence Rates of Latent Topic Models Under Relaxed Identifiability Conditions

In this paper we study the frequentist convergence rate for the Latent D...

0 Yining Wang, et al. ∙

research

∙ 10/29/2017

Stochastic Zeroth-order Optimization in High Dimensions

We consider the problem of optimizing a high-dimensional convex function...

0 Yining Wang, et al. ∙

research

∙ 09/18/2017

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 ...

0 Xi Chen, et al. ∙

research

∙ 08/09/2017

Non-stationary Stochastic Optimization with Local Spatial and Temporal Changes

We consider a non-stationary sequential stochastic optimization problem,...

0 Xi Chen, et al. ∙

research

∙ 02/24/2017

Sequence Modeling via Segmentations

Segmental structure is a common pattern in many types of sequences such ...

0 Chong Wang, et al. ∙

research

∙ 02/22/2017

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...

0 Simon S. Du, et al. ∙

research

∙ 02/09/2017

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

Although a majority of the theoretical literature in high-dimensional st...

0 Yining Wang, et al. ∙

research

∙ 10/24/2016

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

Subspace clustering is the problem of partitioning unlabeled data points...

0 Yining Wang, et al. ∙

research

∙ 06/20/2016

Online and Differentially-Private Tensor Decomposition

In this paper, we resolve many of the key algorithmic questions regardin...

0 Yining Wang, et al. ∙

research

∙ 02/23/2016

An Improved Gap-Dependency Analysis of the Noisy Power Method

We consider the noisy power method algorithm, which has wide application...

0 Maria-Florina Balcan, et al. ∙

research

∙ 02/19/2016

Spectral Learning for Supervised Topic Models

Supervised topic models simultaneously model the latent topic structure ...

0 Yong Ren, et al. ∙

research

∙ 01/09/2016

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

We derive computationally tractable methods to select a small subset of ...

0 Yining Wang, et al. ∙

Yining Wang

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