A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices
Jiezhong Qiu, Chi Wang, Ben Liao, RIchard Peng, Jie Tang
NeurIPS 2020 | December 2020
출판물
연도별 간행물
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Understanding the Hardness of Approximate Query Processing with Joins
Tianyu Liu, Chi Wang
MSR-TR-2020-38 | October 2020
글쓴이 Microsoft
Faster Graph Embeddings via Coarsening
Matthew Fahrbach, Gramoz Goranci, Sushant Sachdeva, Richard Peng, Chi Wang
International Conference on Machine Learning (ICML 2020) | July 2020
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Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang
The Web Conference 2019 | May 2019
ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
AAAI 2019 | January 2019
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Efficient Attribute Recommendation with Probabilistic Guarantee
Chi Wang, Kaushik Chakrabarti
Proc. 2018 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining | July 2018
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Identifying Outlier Arms in Multi-Armed Bandit
Honglei Zhuang, Chi Wang, Yifan Wang
Advances in Neural Information Processing Systems 30 (NIPS 2017) | December 2017
Trust, but Verify: Optimistic Visualizations of Approximate Queries for Exploring Big Data
Dominik Moritz, Danyel Fisher, Bolin Ding, Chi Wang
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems | May 2017
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Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee
Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | July 2016
연구분야별 간행물
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A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices
Jiezhong Qiu, Chi Wang, Ben Liao, RIchard Peng, Jie Tang
NeurIPS 2020 | December 2020
Understanding the Hardness of Approximate Query Processing with Joins
Tianyu Liu, Chi Wang
MSR-TR-2020-38 | October 2020
글쓴이 Microsoft
Faster Graph Embeddings via Coarsening
Matthew Fahrbach, Gramoz Goranci, Sushant Sachdeva, Richard Peng, Chi Wang
International Conference on Machine Learning (ICML 2020) | July 2020
Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang
The Web Conference 2019 | May 2019
Efficient Attribute Recommendation with Probabilistic Guarantee
Chi Wang, Kaushik Chakrabarti
Proc. 2018 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining | July 2018
Identifying Outlier Arms in Multi-Armed Bandit
Honglei Zhuang, Chi Wang, Yifan Wang
Advances in Neural Information Processing Systems 30 (NIPS 2017) | December 2017
Trust, but Verify: Optimistic Visualizations of Approximate Queries for Exploring Big Data
Dominik Moritz, Danyel Fisher, Bolin Ding, Chi Wang
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems | May 2017
Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee
Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | July 2016
-
A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices
Jiezhong Qiu, Chi Wang, Ben Liao, RIchard Peng, Jie Tang
NeurIPS 2020 | December 2020
Understanding the Hardness of Approximate Query Processing with Joins
Tianyu Liu, Chi Wang
MSR-TR-2020-38 | October 2020
글쓴이 Microsoft
-
A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices
Jiezhong Qiu, Chi Wang, Ben Liao, RIchard Peng, Jie Tang
NeurIPS 2020 | December 2020
Faster Graph Embeddings via Coarsening
Matthew Fahrbach, Gramoz Goranci, Sushant Sachdeva, Richard Peng, Chi Wang
International Conference on Machine Learning (ICML 2020) | July 2020
Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang
The Web Conference 2019 | May 2019
ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
AAAI 2019 | January 2019
Identifying Outlier Arms in Multi-Armed Bandit
Honglei Zhuang, Chi Wang, Yifan Wang
Advances in Neural Information Processing Systems 30 (NIPS 2017) | December 2017
-
Faster Graph Embeddings via Coarsening
Matthew Fahrbach, Gramoz Goranci, Sushant Sachdeva, Richard Peng, Chi Wang
International Conference on Machine Learning (ICML 2020) | July 2020
Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
Identifying Outlier Arms in Multi-Armed Bandit
Honglei Zhuang, Chi Wang, Yifan Wang
Advances in Neural Information Processing Systems 30 (NIPS 2017) | December 2017
Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee
Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | July 2016
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Trust, but Verify: Optimistic Visualizations of Approximate Queries for Exploring Big Data
Dominik Moritz, Danyel Fisher, Bolin Ding, Chi Wang
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems | May 2017
유형별 출판물
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Understanding the Hardness of Approximate Query Processing with Joins
Tianyu Liu, Chi Wang
MSR-TR-2020-38 | October 2020
글쓴이 Microsoft
-
A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices
Jiezhong Qiu, Chi Wang, Ben Liao, RIchard Peng, Jie Tang
NeurIPS 2020 | December 2020
Faster Graph Embeddings via Coarsening
Matthew Fahrbach, Gramoz Goranci, Sushant Sachdeva, Richard Peng, Chi Wang
International Conference on Machine Learning (ICML 2020) | July 2020
Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang
The Web Conference 2019 | May 2019
ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
AAAI 2019 | January 2019
Efficient Attribute Recommendation with Probabilistic Guarantee
Chi Wang, Kaushik Chakrabarti
Proc. 2018 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining | July 2018
Identifying Outlier Arms in Multi-Armed Bandit
Honglei Zhuang, Chi Wang, Yifan Wang
Advances in Neural Information Processing Systems 30 (NIPS 2017) | December 2017
Trust, but Verify: Optimistic Visualizations of Approximate Queries for Exploring Big Data
Dominik Moritz, Danyel Fisher, Bolin Ding, Chi Wang
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems | May 2017
Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee
Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | July 2016