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Featured Co-authors

Michael I. Jordan
283 publications
Di Wang
126 publications
Zhaoran Wang
121 publications
Julian McAuley
120 publications
Zhuoran Yang
110 publications
Vahab Mirrokni
84 publications
Fei Liu
83 publications
Manzil Zaheer
69 publications
Jingbo Shang
61 publications
David C. Parkes
47 publications
Vasilis Syrgkanis
45 publications

∙ 08/30/2023

Knowledge-grounded Natural Language Recommendation Explanation

Explanations accompanied by a recommendation can assist users in underst...

0 Anthony Colas, et al. ∙

∙ 07/10/2023

Exploring the Dynamics of the Specialty Insurance Market Using a Novel Discrete Event Simulation Framework: a Lloyd's of London Case Study

This research presents a novel Discrete Event Simulation (DES) of the Ll...

0 Sedar Olmez, et al. ∙

∙ 06/01/2023

Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions

We study the design of loss functions for click-through rates (CTR) to o...

0 Boxiang Lyu, et al. ∙

∙ 02/16/2023

Joint Feedback Loop for Spend and Return-On-Spend Constraints

Budget pacing is a popular service that has been offered by major intern...

0 Santiago R. Balseiro, et al. ∙

∙ 02/16/2023

User Response in Ad Auctions: An MDP Formulation of Long-Term Revenue Optimization

We propose a new Markov Decision Process (MDP) model for ad auctions to ...

0 Yang Cai, et al. ∙

∙ 08/29/2022

Online Bidding Algorithms for Return-on-Spend Constrained Advertisers

Online advertising has recently grown into a highly competitive and comp...

0 Zhe Feng, et al. ∙

∙ 06/02/2022

Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards

Incrementality, which is used to measure the causal effect of showing an...

0 Ashwinkumar Badanidiyuru, et al. ∙

∙ 02/22/2022

Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning

In today's economy, it becomes important for Internet platforms to consi...

10 Jibang Wu, et al. ∙

∙ 01/29/2022

A Context-Integrated Transformer-Based Neural Network for Auction Design

One of the central problems in auction design is developing an incentive...

0 Zhijian Duan, et al. ∙

∙ 10/15/2021

Modeling Endorsement for Multi-Document Abstractive Summarization

A crucial difference between single- and multi-document summarization is...

0 Logan Lebanoff, et al. ∙

∙ 09/07/2021

Learning to Bid in Contextual First Price Auctions

In this paper, we investigate the problem about how to bid in repeated c...

0 Ashwinkumar Badanidiyuru, et al. ∙

∙ 07/09/2021

Robust Clearing Price Mechanisms for Reserve Price Optimization

Setting an effective reserve price for strategic bidders in repeated auc...

0 Zhe Feng, et al. ∙

∙ 07/07/2021

Deep Learning for Two-Sided Matching

We initiate the use of a multi-layer neural network to model two-sided m...

0 Sai Srivatsa Ravindranath, et al. ∙

∙ 07/05/2021

Weakly Supervised Named Entity Tagging with Learnable Logical Rules

We study the problem of building entity tagging systems by using a few r...

0 Jiacheng Li, et al. ∙

∙ 04/13/2021

GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition

Instead of using expensive manual annotations, researchers have proposed...

0 Xinyan Zhao, et al. ∙

∙ 04/05/2021

A New Approach to Overgenerating and Scoring Abstractive Summaries

We propose a new approach to generate multiple variants of the target su...

0 Kaiqiang Song, et al. ∙

∙ 09/14/2020

Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions

The connection between games and no-regret algorithms has been widely st...

0 Zhe Feng, et al. ∙

∙ 07/19/2020

Welfare-Preserving ε-BIC to BIC Transformation with Negligible Revenue Loss

In this paper, we investigate the problem of transforming an ε-BIC mecha...

0 Vincent Conitzer, et al. ∙

∙ 06/11/2020

Reserve Price Optimization for First Price Auctions

The display advertising industry has recently transitioned from second- ...

0 Zhe Feng, et al. ∙

∙ 11/23/2019

Controlling the Amount of Verbatim Copying in Abstractive Summarization

An abstract must not change the meaning of the original text. A single m...

0 Kaiqiang Song, et al. ∙

∙ 06/04/2019

The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation

We study the behavior of stochastic bandits algorithms under strategic b...

0 Zhe Feng, et al. ∙

∙ 05/09/2019

Maximum A Posteriori Probability (MAP) Joint Fine Frequency Offset and Channel Estimation for MIMO Systems with Channels of Arbitrary Correlation

Channel and frequency offset estimation is a classic topic with a large ...

0 Mingda Zhou, et al. ∙

∙ 01/21/2019

Online Learning for Measuring Incentive Compatibility in Ad Auctions

In this paper we investigate the problem of measuring end-to-end Incenti...

0 Zhe Feng, et al. ∙

∙ 06/18/2018

An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification

In this work, we propose an ensemble of classifiers to distinguish betwe...

0 Ahmed Imtiaz Humayun, et al. ∙

∙ 06/15/2018

Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection

Automatic heart sound abnormality detection can play a vital role in the...

0 Ahmed Imtiaz Humayun, et al. ∙

∙ 11/03/2017

Learning to Bid Without Knowing your Value

We address online learning in complex auction settings, such as sponsore...

0 Zhe Feng, et al. ∙

∙ 06/12/2017

Optimal Auctions through Deep Learning

Designing an auction that maximizes expected revenue is an intricate tas...

0 Paul Dütting, et al. ∙

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