All Talks
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Talk and Research Videos
AI4Science: A Revolution in the Making
Adobe Tech Summit, 2022
AI4Science: A Revolution in the Making
Simons Foundation Lectures, 2021
Infusing Structure and Domain Knowledge into Deep Learning
GCLR Workshop at AAAI, 2021
Can Artificial Intelligence be conscious too?
TEDxGateway, 2021
Next-generation frameworks for Large-scale AI
Scale By The Bay, 2020
Next-generation frameworks for Large-scale AI
JuypterCon, 2020
Sparks! Serendipity Forum at CERN : Future Intelligence
CERN, 2020
Bridging the gap between artificial and human intelligence: Role of Feedback
MINDS & CIS Seminar Series, 2020
GANs for Good - A Virtual Expert Panel
DeepLearning.AI, 2020
Role of Interaction in Competitive Optimization
IAS seminar on Theoretical Machine Learning, 2020
slides
The road to Autonomy
Harvard ML theory seminar, 2020
How to Create Generalizable AI?
NVIDIA GTC, 2020
Innovate Pasadena Presents
Pasadena Media, Feb 2020
Next-generation frameworks for Large-scale Machine Learning
Scale By The Bay, 2019
Advances In The Trinity Of AI
HITBCyberWeek, Oct 2019
Tackling Data Scarcity and Bias in Deep Learning
NVIDIA GTC DC, 2019
Fixing GAN optimization through competitive gradient descent
IAS Workshop on Theory of Deep Learning, Oct 2019
Panel: Frontiers of Machine Learning
MSRNE 10th Anniversary Symposium, Oct 2019
The path to embodied intelligence
Codex, Oct 2019
Optimization in ML: Beyond gradient descent
IAS Workshop on Theory of Deep Learning, Oct 2019
Advances in NLP
SoCal NLP Symposium 2019, Sep 2019
Infusing Physics into Deep Learning Algorithms with Applications to Stable Landing of Drones
GTC Silicon Valley-2019, August 2019
Role of Tensors in Machine Learning
GTC Silicon Valley-2019, August 2019
Role of Stein's Lemma in Guaranteed Training of Neural Networks
ICML 2019, June 2019
Infusing Structure Into Machine Learning
ICLR 2019, May 2019
Machine Learning in Healthcare
ApplySci@Stanford, May 2019
Infusing Physics and Structure into Machine Learning
MIT Institute for Data, Systems, and Society, May 2019
Infusing Structure into Machine Learning Algorithms
Michigan Institute for Data Science, March 2019
slides
Some Success Stories in Bridging Theory and Practice
Georgia Institute of Technology, October 2018
slidesThe AI Trinity: Data + Algorithms + Infrastructure
NYU Tandon School of Engineering, October 2018
slides
The AI Trinity: Data + Algorithms + Infrastructure
Simons Institute Open Lecture Series, October 2018
Tackling Data Scarcity in Deep Learning
The Conference on Uncertainty in Artificial Intelligence (UAI), August 2018
slides(part1) slides(part2)
AI: present and future
QS investors Caltech innovator series, June 2018
Building the next generation of AI
Particle Design, May 2018
Role of Tensors in Large-Scale Machine Learning
Matroid Scaled Machine Learning Conference, March 2018
Global Governance of AI Roundtable
World Government Summit, March 2018
Robots Get Humanlike Brains With Machine Learning and A.I.
DavidNazarNews, Dec. 2017
Leaning at Scale: Deep, Distributed and Multi-dimensional
MLconf, Nov. 2017
Tensors for Large-scale Topic Modeling and Deep Learning
AWS re:Invent, Nov. 2017
Talk in Silicon Valley Future Forum
Silicon Valley Future Forum, Aug. 2017
Tutorial on distributed deep learning using apache mxnet: part 1
Strata Data Conference, July 2017
Tutorial on distributed deep learning using apache mxnet: part 2
Strata Data Conference, July 2017
Distributed deep learning on AWS using apache mxnet
Strata Data Conference, July 2017
Short interview in IIT Bay Area Leadership Conf
IIT Bay Area Leadership Conf,July 2017
Panel discussion: Artificial Intelligence
IIT Bay Area Leadership Conference, June 2017
Efficient Distributed Deep Learning Using MXNet
Simons Institute, May 2017
Panel discussion on "AI and its impact on job"
IITM alumni meeting, April 2017
Distributed Deep Learning
Anita Borg Institute, Feb. 2017
Recent Advances in Non-Convex Optimization
ICML 2016 Tutorial, June 2016 slides
Guaranteed Non-convex Learning Algorithms through Tensor Factorization
ICLR 2016, May 2016
Tensor Methods for Large-Scale Machine Learning
Southern California Machine Learning Symposium, May 2016
NIPS 2015 Workshop on Nonconvex Optimization
Dec. 2015 slides
Tensor Methods - A New Paradigm for Training Probabilistic Models, Neural Networks and Reinforcement Learning
MLConf at SF, Nov. 2015
The tensor renaissance in data science
The O'Reilly Data Show Podcast, July 2015
Learning Overcomplete Latent Variable Models through Tensor Methods
COLT 2015, July 2015
Tensor Methods: A New Paradigm for Training Probabilistic Models and Feature Learning
MLconf , May 2015
Constructing Informative Features for Discriminative Learning
Simons Institute, March 2015 slides
Tensor methods for largescale unsupervised learning applications to topic and community modeling
Strata at the Hardcore Data Science Track, March 2015
Tackling Big Data with Tensor Methods
Data Science Initiative, Dec. 2014
Tensor Methods for Learning Latent Variable Models: Theory and Practice
Simons Institute, Nov. 2014
Guaranteed Learning of Latent Variable Models: Overlapping Community Models and Overcomplete
University of Washington, Feb. 2014
Robust PCA via Non-convex Methods: Provable Bounds
Joint work with Praneeth Netrapalli, U. N. Niranjan, Prateek Jain and Sujay Sanghavi slides
Tensor Methods for Learning Latent Variable Models: Theory and Practice
Simons Institute slides
High-Dimensional Graphical Model Selection
Joint work with Vincent Tan (U. Wisc.) and Allay Willsky (MIT)
Fast and Guaranteed Learning of Overlapping Communities via Tensor Methods
Cornell CAM Colloquium, Sept. 2013
A Tensor Spectral Approach to Learning Mixed Membership Community Models
NC State ECE, May 2013
A Tensor Spectral Approach to Learning Mixed Membership Community Models
Joint work with Rong Ge (Princeton), Daniel Hsu (Microsoft Research), Sham Kakade (Microsoft Research)