Archive of ScAI machine learning seminar in 2018-19 academic year.
Summer 2019
| Date | Title | Speaker | Refs. |
|---|---|---|---|
| 8.26 | Sublinear Approximation for Large-scale Data Science | Chi Wang | NA |
Spring 2019
| Date | Title | Speaker | Refs. |
|---|---|---|---|
| 4.12 | Generalization Error Bounds of Gradient Descent for Learning Over-parameterized Deep ReLU Networks | Yuan Cao | |
| 4.26 | Some recent advances in GANs | Ting Chen | |
| 5.17 | Aggregates in Recursive Programs and Declarative Algorithms for Big Data | Carlo Zaniolo | |
| 5.21 | Graph Representation Learning: Algorithms, Applications and Systems | Jian Tang | Link |
| 5.24 | Geometric Scattering on Graphs and Manifolds | Feng Gao | |
| 5.31 | Bridging adversarial robustness with generative adversarial networks | Xuanqing Liu | |
| 6.7 | Robustness Verification of Neural Networks | Huan Liu | N/A |
| 6.10 | Random Search and Reproducibility for Neural Architecture Search | Liam Li |
Winter 2019
| Date | Title | Speaker | Refs. |
|---|---|---|---|
| 1.11 | Multi-relational Knowledge Representation and Acquisition | Muhao Chen | |
| 1.18 | Grounding Reinforcement Learning with Real-world Dialog Applications | Zhou Yu | N/A |
| 1.25 | Combining Behavioral and Generative Models for Product Recommendation and Design | Julian McAuley | N/A |
| 2.8 | Recent advance on deep learning optimization theory | Difan Zou | |
| 2.15 | A New Synthesis of Knowledge Representation and Learning | Yitao Liang | |
| 3.1 | Understanding the Bias and Data Efficiency of Uncertainty Sampling | Steve Mussmann | N/A |
| 3.15 | Southern California Machine Learning Symposium | Bistra Dilkina, Pietro Perona, Hongjing Lu, Alicia Solow-Niederman | N/A |
| 3.22 | Embedding Uncertain Knowledge Graphs | Xuelu Chen |
Fall 2018
| Date | Title | Speaker | Refs. |
|---|---|---|---|
| 10.5 | CoQA: A Conversational Question Answering Challenge | Siva Reddy | |
| 10.12 | Efficient Deep Learning | Ting Chen | |
| 10.19 | Optimization from A Continuous-time View | Pan Xu | |
| 10.26 | Conversational Question Answering | Scott Wen-tau Yih | |
| 11.2 | Modeling and Distinguishing User Behaviors on the Web | Jyun-yu Jiang | |
| 11.9 | Diversity-promoting and Large-scale ML for Healthcare | Pengtao Xie | |
| 11.16 | Adopting Machine Learning techniques in Database System | Jin Wang | |
| 11.30 | Learning to Generate Language and Actions with Structured Agents | William Wang | |
| 12.7 | Democratize Data Science: NLI to Data | Xifeng Yan | N/A |
| 12.14 | PaperRobot: Incremental Drafting of Ideas in Biomedical Domain | Heng Ji | N/A |