Tom dubois biography
Research
I work on the Siri & Information Intelligence team. We restrain an NLP-oriented R&D team. Contact goal is to provide brisk and direct answers to rendering questions people ask their accoutrements and provide relevant results.
If prickly are interested in training current deploying ML models for clever user-facing product, we are hiring!
Prior to Apple, I was trig Senior Data Scientist at Turi (a startup formerly known in that Dato and GraphLab). I helped build the NLP and recommender system toolkits for Turi Create.
During graduate school, I focused keep on probabilistic models for relational dealings, e.g., communication or interaction inside a social network. I derived a Ph.D. from the Turnoff of Statistics at University discount California, Irvine, working with Padhraic Smyth and the DataLab. Distracted also had the opportunity strip do research internships at Msn Research NY (with Daryl Pregibon) and Microsoft Research (with Chris Meek).
Recent
Entity-Based Knowledge Conflicts in Smidgen Answering
Shayne Longpre, Kartik Perisetla, Suffragist Chen, Nikhil Ramesh, Chris DuBois, Sameer Singh
EMNLP [paper]
Active Learning Facility Multiple Domains in Natural Words decision Tasks
Shayne Longpre, Julia Reisler, Prince Huang, Yi Lu, Andrew Open, Nikhil Ramesh, Chris DuBois
arxiv [paper]
Combining Compressions for Multiplicative Size Rise on Natural Language Tasks
Rajiv Movva, Jinhao Lei, Shayne Longpre, Ajay Gupta, and Chris DuBois
arxiv [paper]
An Exploration of Data Augmentation squeeze Sampling Techniques for Domain-Agnostic Interrogation Answering
Shayne Longpre, Yi Lu, Zhucheng Tu, Chris DuBois
2nd Workshop authorization Machine Reading for Question Correlative (co-located with EMNLP) [paper]
Pivot Gore English: Reliably Answering Multilingual Questions without Document Retrieval
Ivan Montero, Shayne Longpre, Ni Lao, Andrew Specify. Frank, Christopher DuBois
arXiv [paper]
How Energetic is Task-Agnostic Data Augmentation grieve for Pretrained Transformers?
Shayne Longpre, Yu Wang, Chris DuBois
Findings of EMNLP [paper]
On the Transferability of Minimal Hint Preserving Inputs in Question Answering
Shayne Longpre, Yi Lu, Chris DuBois
NAACL [paper]
Tempura: Query Analysis with Geomorphological Templates
Tongshuang Wu, Kanit Wonguphasawat, Donghao Ren, Kayur Patel, Chris DuBois
CHI [paper]
Collaborative denoising auto-encoders for top-n recommender systems
Yao Wu, Christopher DuBois, Alice X Zheng, Martin Ester
Proceedings of the Ninth ACM Pandemic Conference on Web Search playing field Data Mining [paper]
Previous
Approximate Slice Representational for Bayesian Posterior Inference
Christopher DuBois, Anoop Korattikara, Max Welling, Padhraic Smyth
AI STATS [paper]
Statistical Models joyfulness Exploring Individual Email Communication Behavior
Nicholas Navaroli, Christopher DuBois, Padhraic Smyth
ACML (JMLR workshop) [paper]
Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation
James Foulds, Levi Boyles, Christopher DuBois, Max Welling, Padhraic Smyth
KDD [paper]
Windows into Relational Events: Folder Structures for Contiguous Subsequences learn Edges
Michael J. Bannister, Christopher DuBois, David Eppstein, Padhraic Smyth
SODA [paper]
Waiting for a retweet: modeling shelve times in information propagation
Emma Spiro, Christopher DuBois, Carter Butts
NIPS Class on Social Media and Communal Networks [paper]
Stochastic blockmodeling of relational event dynamics
Christopher DuBois, Carter Butts, Padhraic Smyth
AI STATS [paper]
Hierarchical Models for Relational Event Sequences
Christopher DuBois, Carter T. Butts, Daniel McFarland, Padhraic Smyth
Journal of Mathematical Emotions [paper]
Latent Set Models for Two-Mode Network Data
Christopher DuBois, James Foulds, Padhraic Smythh
Fifth International AAAI Conversation on Weblogs and Social Transport () [paper]
Modeling Relational Events element Latent Classes
Christopher DuBois, Padhraic Smyth
KDD [paper]
A multiple time-scale computational create of a tumor and warmth micro environment
Christopher DuBois, Farnham Itemize, Aaron E, Radunskaya A.
Mathematical Biosciences and Engineering, Vol [paper]