
Efficient Algorithms for Global Inference in Internet Marketplaces
Matching demand to supply in internet marketplaces (ecommerce, ridesha...
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Knowledgedriven Natural Language Understanding of English Text and its Applications
Understanding the meaning of a text is a fundamental challenge of natura...
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SQuARE: Semanticsbased Question Answering and Reasoning Engine
Understanding the meaning of a text is a fundamental challenge of natura...
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Evaluating Fairness Using Permutation Tests
Machine learning models are central to people's lives and impact society...
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A Framework for Fairness in TwoSided Marketplaces
Many interesting problems in the Internet industry can be framed as a tw...
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Scalable Assessment and Mitigation Strategies for Fairness in Rankings
Motivated by industrialscale applications, we consider two specific are...
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Conversational AI : Open Domain Question Answering and Commonsense Reasoning
Our research is focused on making a humanlike question answering system...
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Optimal Convergence for Stochastic Optimization with Multiple Expectation Constraints
In this paper, we focus on the problem of stochastic optimization where ...
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Personalization and Optimization of Decision Parameters via Heterogenous Causal Effects
Randomized experimentation (also known as A/B testing or bucket testing)...
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A/B Testing in Dense LargeScale Networks: Design and Inference
Design of experiments and estimation of treatment effects in largescale...
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LargeScale Quadratically Constrained Quadratic Program via LowDiscrepancy Sequences
We consider the problem of solving a largescale Quadratically Constrain...
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Analysis of Thompson Sampling for Gaussian Process Optimization in the Bandit Setting
We consider the global optimization of a function over a continuous doma...
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Constrained MultiSlot Optimization for Ranking Recommendations
Ranking items to be recommended to users is one of the main problems in ...
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Large scale multiobjective optimization: Theoretical and practical challenges
Multiobjective optimization (MOO) is a wellstudied problem for several...
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A spatiospectral hybridization for edge preservation and noisy image restoration via local parametric mixtures and Lagrangian relaxation
This paper investigates a fully unsupervised statistical method for edge...
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Kinjal Basu
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