Search Results - "Asudeh, Abolfazl"

Reliability evaluation of individual predictions: a data-centric approach by Shahbazi, Nima, Asudeh, Abolfazl

“…Machine learning models only provide probabilistic guarantees on the expected loss of random samples from the distribution represented by their training data…”
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Maximizing Coverage While Ensuring Fairness: A Tale of Conflicting Objectives by Asudeh, Abolfazl, Berger-Wolf, Tanya, DasGupta, Bhaskar, Sidiropoulos, Anastasios

“…Ensuring fairness in computational problems has emerged as a key topic during recent years, buoyed by considerations for equitable resource distributions and…”
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Data distribution tailoring revisited: cost-efficient integration of representative data by Chang, Jiwon, Cui, Bohan, Nargesian, Fatemeh, Asudeh, Abolfazl, Jagadish, H. V.

“…Data scientists often develop data sets for analysis by drawing upon available data sources. A major challenge is ensuring that the data set used for analysis…”
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Scalable algorithms for signal reconstruction by leveraging similarity joins by Asudeh, Abolfazl, Augustine, Jees, Nazi, Azade, Thirumuruganathan, Saravanan, Zhang, Nan, Das, Gautam, Srivastava, Divesh

“…Signal reconstruction problem (SRP) is an important optimization problem where the objective is to identify a solution to an underdetermined system of linear…”
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Finding representative group fairness metrics using correlation estimations by Anahideh, Hadis, Nezami, Nazanin, Asudeh, Abolfazl

“…It is of critical importance to be aware of the historical discrimination embedded in the data and to consider a fairness measure to reduce bias throughout the…”
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Fair active learning by Anahideh, Hadis, Asudeh, Abolfazl, Thirumuruganathan, Saravanan

“…Machine learning (ML) is increasingly being used in high-stakes applications impacting society. Therefore, it is of critical importance that ML models do not…”
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Assessing and Remedying Coverage for a Given Dataset by Asudeh, Abolfazl, Jin, Zhongjun, Jagadish, H. V.

“…Data analysis impacts virtually every aspect of our society today. Often, this analysis is performed on an existing dataset, possibly collected through a…”
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DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets by Corain, Matteo, Garza, Paolo, Asudeh, Abolfazl

“…Recent technological advancements have enabled generating and collecting huge amounts of data in a daily manner. This data is used for different purposes that…”
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A general model for MAC protocol selection in wireless sensor networks by Asudeh, Abolfazl, Záruba, Gergely V., Das, Sajal K.

“…Wireless sensor networks (WSNs) have become relatively common in recent years with application scenarios ranging from low-traffic soil condition sensing to…”
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Fairness-Aware Range Queries for Selecting Unbiased Data by Shetiya, Suraj, Swift, Ian P., Asudeh, Abolfazl, Das, Gautam

“…We are being constantly judged by automated decision systems that have been widely criticised for being discriminatory and unfair. Since an algorithm is only…”
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Mining the Minoria: Unknown, Under-represented, and Under-performing Minority Groups by Dehghankar, Mohsen, Asudeh, Abolfazl

“…Due to a variety of reasons, such as privacy, data in the wild often misses the grouping information required for identifying minorities. On the other hand, it…”
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Online Maximum Independent Set of Hyperrectangles by Advani, Rishi, Asudeh, Abolfazl

“…The maximum independent set problem is a classical NP-hard problem in theoretical computer science. In this work, we study a special case where the family of…”
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Reliability Evaluation of Individual Predictions: A Data-centric Approach by Shahbazi, Nima, Asudeh, Abolfazl

“…Machine learning models only provide probabilistic guarantees on the expected loss of random samples from the distribution represented by their training data…”
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QR2: A Third-Party Query Reranking Service over Web Databases by Durairaj Gunasekaran, Yeshwanth, Asudeh, Abolfazl, Hasani, Sona, Nan Zhang, Jaoua, Ali, Das, Gautam

“…The ranked retrieval model has rapidly become the de-facto way for search query processing in web databases. Despite the extensive efforts on designing better…”
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Optimized Inference for 1.58-bit LLMs: A Time and Memory-Efficient Algorithm for Binary and Ternary Matrix Multiplication by Dehghankar, Mohsen, Erfanian, Mahdi, Asudeh, Abolfazl

“…Despite their tremendous success and versatility, Large Language Models (LLMs) suffer from inference inefficiency while relying on advanced computational…”
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REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models by Ebrahimi, Sana, Shahbazi, Nima, Asudeh, Abolfazl

“…The extensive scope of large language models (LLMs) across various domains underscores the critical importance of responsibility in their application, beyond…”
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Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities by Erfanian, Mahdi, Jagadish, H. V, Asudeh, Abolfazl

“…The potential harms of the under-representation of minorities in training data, particularly in multi-modal settings, is a well-recognized concern. While there…”
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A Fair and Memory/Time-efficient Hashmap by Asudeh, Abolfazl, Shahbazi, Nima, Sintos, Stavros

“…SIGMOD 2024 Hashmap is a fundamental data structure in computer science. There has been extensive research on constructing hashmaps that minimize the number of…”
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Data Coverage for Detecting Representation Bias in Image Datasets: A Crowdsourcing Approach by Mousavi, Melika, Shahbazi, Nima, Asudeh, Abolfazl

“…Existing machine learning models have proven to fail when it comes to their performance for minority groups, mainly due to biases in data. In particular,…”
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[Experiments & Analysis] Evaluating the Feasibility of Sampling-Based Techniques for Training Multilayer Perceptrons by Ebrahimi, Sana, Advani, Rishi, Asudeh, Abolfazl

“…The training process of neural networks is known to be time-consuming, and having a deep architecture only aggravates the issue. This process consists mostly…”
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