{"id":373,"date":"2018-09-28T14:52:30","date_gmt":"2018-09-28T21:52:30","guid":{"rendered":"http:\/\/scai.cs.ucla.edu\/?page_id=373"},"modified":"2021-01-11T15:43:47","modified_gmt":"2021-01-11T23:43:47","slug":"big-data-and-machine-learning-seminar","status":"publish","type":"page","link":"https:\/\/scai.cs.ucla.edu\/?page_id=373","title":{"rendered":"Big Data and Machine Learning Seminar"},"content":{"rendered":"

Winter 2021<\/b><\/h2>\n

Time: Friday 10 am -11:30 am.<\/strong><\/em>
Online Zoom Link: https:\/\/ucla.zoom.us\/j\/95843531088<\/p>\n

Welcome to our Big Data and Machine Learning Seminar! Each week, we invite a researcher to give a talk on the latest advancement in big data and machine learning. Questions, as well as open discussions, are welcome in the seminar.<\/p>\n

Everyone is encouraged to sign-up for the presentations!  Please email Yuan Cao (yuancao@g.ucla.edu<\/a>) or Sunipa Dev (sunipadev@gmail.com<\/a>) the topic you would like to present beforehand if you are interested. The topic ideally is related to “Data mining and Machine Learning”. Here is a google doc<\/a> for the syllabus of our Big Data and Machine Learning Seminar where you can find the date and topic for the registered presentations.<\/p>\n

Schedule<\/strong><\/h4>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Date<\/th>\nTITLE<\/th>\nSpeaker<\/th>\nAbstract<\/th>\nPaper<\/th>\nSlide<\/th>\n<\/tr>\n
01\/08<\/td>\nVisual Recognition beyond Appearances, and its Robotic Applications<\/td>\nYezhou Yang<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
01\/15<\/td>\nCross Lingual Understanding: Scaling NLP Across Languages<\/td>\nVeselin Stoyanov<\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
01\/22<\/td>\n <\/td>\n <\/td>\nabstract<\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
01\/29<\/td>\n <\/td>\n <\/td>\nabstract<\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
02\/05<\/td>\n <\/td>\n <\/td>\nabstract<\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
02\/12<\/td>\n <\/td>\n <\/td>\nabstract<\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
02\/19<\/td>\nDirection Matters: On the Implicit Regularization Effect of Stochastic Gradient Descent with Moderate Learning Rate<\/td>\nJingfeng Wu<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
02\/26<\/td>\n <\/td>\n <\/td>\nabstract<\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
03\/05<\/td>\n <\/td>\n <\/td>\nabstract<\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
03\/12<\/td>\n <\/td>\n <\/td>\nabstract<\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

Fall 2020<\/b><\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Date<\/th>\nTITLE<\/th>\nSpeaker<\/th>\nAbstract<\/th>\nPaper<\/th>\nSlide<\/th>\n<\/tr>\n
10\/9<\/td>\n <\/td>\n <\/td>\n <\/td>\n <\/td>\n <\/td>\n<\/tr>\n
10\/16<\/td>\nOn Provably Efficient Reinforcement Learning with Value Function Approximation<\/td>\nLin F. Yang<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
10\/23<\/td>\nROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm<\/td>\nJunchi Li<\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
10\/30<\/td>\nSeparating Estimation from Decision Making in Contextual Bandits<\/td>\nDylan Foster<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
11\/06<\/td>\nWhat are the Statistical Limits of Offline RL with Linear Function Approximation?<\/td>\nRuosong Wang<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
11\/13<\/td>\nUnderstanding Event Processes in Natural Languages<\/td>\nMuhao Chen<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
11\/20<\/td>\nMultilingual Multi-domain Question Answering<\/td>\nAvirup Sil<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
11\/27<\/td>\nThanksgiving (cancel)<\/td>\n<\/tr>\n
12\/04<\/td>\nRobust reinforcement learning against adversarial perturbations on state observations<\/td>\nHuan Zhang<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
12\/11<\/td>\n <\/td>\nJingfeng Wu<\/a><\/td>\nabstract<\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
12\/18<\/td>\n <\/td>\n <\/td>\n <\/td>\n <\/td>\n <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

Spring 2020<\/b><\/h2>\n\n\n\n\n
Date<\/th>\nTITLE<\/th>\nSpeaker<\/th>\nAbstract<\/th>\nPaper<\/th>\nSlide<\/th>\nVideo<\/th>\n<\/tr>\n
04\/10<\/td>\nGenerative Pre-training of Graph Neural Networks<\/span><\/td>\nZiniu Hu<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/td>\nvideo<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

Winter 2020<\/b><\/h2>\n\n\n\n\n\n\n\n\n
Date<\/th>\nTITLE<\/th>\nSpeaker<\/th>\nAbstract<\/th>\nPaper<\/th>\nSlide<\/th>\n<\/tr>\n
02\/07<\/td>\nDynamic Neural User Models<\/span><\/td>\nSrijan Kumar<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/a><\/td>\n<\/tr>\n
02\/14<\/td>\nCancel<\/td>\n<\/tr>\n
02\/21<\/td>\nNeural Network-based Graph-Level Operator Learning<\/span><\/td>\nYunsheng Bai<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/a><\/td>\n<\/tr>\n
02\/28<\/td>\nUnsupervised State Embedding and Aggregation Towards Scalable Reinforcement Learning<\/span><\/td>\nMengdi Wang<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
03\/06<\/td>\nOpen House Event<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

Fall 2019<\/b><\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n
Date<\/th>\nTITLE<\/th>\nSpeaker<\/th>\nAbstract<\/th>\nPaper<\/th>\nSlide<\/th>\n<\/tr>\n
10\/04<\/td>\nDeep Learning on Graphs: Methods and Applications<\/span><\/td>\nLingfei Wu<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
10\/11<\/td>\nReducing Societal Bias in Natural Language Processing <\/span><\/td>\nJieyu Zhao<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/a><\/td>\n<\/tr>\n
10\/18<\/td>\nTwo-view Knowledge Graph Learning and Its Applications in Product Recommendation<\/span><\/td>\nJunheng Hao<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/a><\/td>\n<\/tr>\n
10\/25<\/td>\nData Science at Scale: from Theory to Practice<\/span><\/td>\nSnapchat Team led by Xiaolin<\/span><\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
11\/01<\/td>\nCancel<\/td>\n<\/tr>\n
11\/08<\/td>\nCancel<\/td>\n<\/tr>\n
11\/15<\/td>\nCancel<\/td>\n<\/tr>\n
11\/22<\/td>\nDeep Probabilistic Logic: A Unifying Framework for Self-Supervision<\/span><\/td>\nHoifung Poon<\/span><\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/a><\/td>\n<\/tr>\n
11\/29<\/td>\nThanksgiving Day<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

Spring 2019<\/b><\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Date<\/th>\nTITLE<\/th>\nSpeaker<\/th>\nAbstract<\/th>\nPaper<\/th>\nSlide<\/th>\n<\/tr>\n
04\/12<\/td>\nGeneralization Error Bounds of Gradient Descent for Learning Over-parameterized Deep ReLU Networks<\/span><\/td>\nYuan Cao<\/td>\nabstract<\/a><\/td>\npdf<\/a><\/td>\nppt<\/a><\/td>\n<\/tr>\n
04\/19<\/td>\nCancel<\/td>\n<\/tr>\n
04\/26<\/td>\nSome recent advances in GANs<\/span><\/td>\nTing Chen<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/a><\/td>\nppt<\/a><\/td>\n<\/tr>\n
05\/03<\/td>\nCancel<\/td>\n<\/tr>\n
05\/10<\/td>\nCancel<\/td>\n<\/tr>\n
05\/17<\/td>\nAggregates in Recursive Programs  and Declarative Algorithms for BigData<\/span><\/td>\nCarlo Zaniolo<\/span><\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/a><\/td>\n<\/tr>\n
05\/21<\/td>\nGraph Representation Learning: Algorithms, Applications and Systems<\/span><\/td>\nJian Tang<\/span><\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/a><\/td>\n<\/tr>\n
05\/24<\/td>\nGeometric Scattering on Graphs and Manifolds<\/span><\/td>\nFeng Gao<\/span><\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/a><\/td>\n<\/tr>\n
05\/31<\/td>\nBridging adversarial robustness with generative adversarial networks<\/span><\/td>\nXuanqing Liu<\/span><\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/a><\/td>\n<\/tr>\n
06\/07<\/td>\nRobustness Verification of Neural Networks<\/span><\/td>\nHuan Zhang<\/span><\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/a><\/td>\n<\/tr>\n
06\/10<\/td>\nRandom Search and Reproducibility for Neural Architecture Search
<\/span><\/td>\n		Liam Li<\/span><\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/a><\/td>\n<\/tr>\n
08\/26<\/td>\nSublinear Approximation for Large-scale Data Science<\/span><\/td>\nChi Wang<\/span><\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

Winter 2019<\/b><\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Date<\/th>\nTITLE<\/th>\nSpeaker<\/th>\nAbstract<\/th>\nPaper<\/th>\nSlide<\/th>\n<\/tr>\n
01\/11<\/td>\nMulti-relational Knowledge Representation and Acquisition<\/span><\/td>\nMuhao Chen<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/a><\/td>\nppt<\/a><\/td>\n<\/tr>\n
01\/18<\/td>\nGrounding Reinforcement Learning with Real-world Dialog Applications<\/span><\/td>\nZhou Yu<\/span><\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/a><\/td>\n<\/tr>\n
01\/25<\/td>\nCombining Behavioral and Generative Models for Product Recommendation and Design<\/span><\/td>\nJulian McAuley<\/span><\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/a><\/td>\n<\/tr>\n
02\/01<\/td>\nCancel<\/td>\n<\/tr>\n
02\/08<\/td>\nRecent advance on deep learning optimization theory<\/span><\/td>\nDifan Zou<\/span><\/a><\/td>\nabstract<\/a><\/td>\npdf<\/a><\/td>\nppt<\/a><\/td>\n<\/tr>\n
02\/15<\/td>\nA New Synthesis of Knowledge Representation and Learning<\/span><\/td>\nYitao Liang<\/span><\/a><\/td>\nabstract<\/a><\/td>\npdf<\/a><\/td>\nppt<\/a><\/td>\n<\/tr>\n
02\/22<\/td>\nCancel<\/td>\n<\/tr>\n
03\/01<\/td>\nUnderstanding the Bias and Data Efficiency of Uncertainty Sampling<\/span><\/td>\nSteve Mussmann<\/span><\/a><\/td>\nabstract<\/a><\/td>\npdf<\/a><\/td>\nppt<\/a><\/td>\n<\/tr>\n
03\/08<\/td>\nCancel<\/td>\n<\/tr>\n
03\/15<\/td>\nCancel<\/td>\n<\/tr>\n
03\/22<\/td>\nEmbedding Uncertain Knowledge Graphs<\/span><\/td>\nXuelu Chen<\/span><\/a><\/td>\nabstract<\/a><\/td>\npdf<\/a><\/td>\nppt<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

Fall 2018<\/b><\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Date<\/th>\nTITLE<\/th>\nSpeaker<\/th>\nAbstract<\/th>\nPaper<\/th>\nSlide<\/th>\n<\/tr>\n
10\/05<\/td>\nCoQA: A Conversational Question Answering Challenge<\/td>\nSiva Reddy<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/a><\/td>\nppt<\/a><\/td>\n<\/tr>\n
10\/12<\/td>\nEfficient Deep Learning<\/td>\nTing Chen<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/a><\/td>\nppt<\/td>\n<\/tr>\n
10\/19<\/td>\nOptimization from A Continuous-time View<\/td>\nPan Xu<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/a><\/td>\nppt<\/a><\/td>\n<\/tr>\n
10\/26<\/td>\nConversational Question Answering<\/td>\nScott Yih<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/a><\/td>\nppt<\/a><\/td>\n<\/tr>\n
11\/02<\/td>\nModeling and Distinguishing User Behaviors on the Web<\/td>\nJyun-Yu Jiang<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/a><\/td>\nppt<\/a><\/td>\n<\/tr>\n
11\/09<\/td>\nDiversity-promoting and Large-scale ML for Healthcare<\/td>\nPengtao Xie<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/a><\/td>\nppt<\/td>\n<\/tr>\n
11\/16<\/td>\nAdopting Machine Learning techniques in Database System<\/td>\nJin Wang<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/a><\/td>\nppt<\/a><\/td>\n<\/tr>\n
11\/23<\/td>\nThanksgiving Day (cancel)<\/td>\n<\/tr>\n
11\/30<\/td>\nLearning to Generate Language and Actions with Structured Agents<\/td>\nWilliam Wang<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/a><\/td>\nppt<\/a><\/td>\n<\/tr>\n
12\/07<\/td>\nDemocratize Data Science: NLI to Data<\/td>\nXifeng Yan<\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n
12\/14<\/td>\nPaperRobot: Incremental Drafting of Ideas in Biomedical Domain<\/span><\/td>\nHeng Ji<\/span><\/a><\/td>\nabstract<\/a><\/td>\npdf<\/td>\nppt<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

Before Fall 2018<\/b><\/h2>\n

Schedule<\/a><\/strong><\/h4>\n
\n

If you have any questions or suggestions, feel free to email me (keweicheng@g.ucla.edu<\/a>).<\/p>\n

<\/p>\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Winter 2021 Time: Friday 10 am -11:30 am.Online Zoom Link: https:\/\/ucla.zoom.us\/j\/95843531088 Welcome to our Big Data and Machine Learning Seminar! Each week, we invite a researcher to give a talk … Continue reading Big Data and Machine Learning Seminar<\/span> →<\/span><\/a><\/p>\n","protected":false},"author":10,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-373","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/scai.cs.ucla.edu\/index.php?rest_route=\/wp\/v2\/pages\/373","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/scai.cs.ucla.edu\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/scai.cs.ucla.edu\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/scai.cs.ucla.edu\/index.php?rest_route=\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/scai.cs.ucla.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=373"}],"version-history":[{"count":185,"href":"https:\/\/scai.cs.ucla.edu\/index.php?rest_route=\/wp\/v2\/pages\/373\/revisions"}],"predecessor-version":[{"id":892,"href":"https:\/\/scai.cs.ucla.edu\/index.php?rest_route=\/wp\/v2\/pages\/373\/revisions\/892"}],"wp:attachment":[{"href":"https:\/\/scai.cs.ucla.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=373"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}