Expository talks/lectures/tutorials
Machine Learning in Practice, 2021
Cotaught three lectures as a part of this course which was offered across the TIFR system.
Matrix factorization: applications and algorithms [Slides]
Seminar on Graphs, Matrices and Applications, IIT Kharagpur, 2020
Faculty Development Programme on Artificial Intelligence in Human Life, Panjab University, 2020
Teacher’s Enrichment Workshop on Linear Algebra with applications
to data analysis and control, IIT Bombay, 2019
Understanding nonconvex optimization [Slides]
Workshop on Advanced Machine Learning, M. S. Ramaiah University of Applied Sciences, Bengaluru, 2019
Tutorial at ISIT (Jointly with Sujay Sanghavi), 2019
Introductory course on convex optimization
JTG summer school, IIT Madras, 2019 Lecture notes
Lectures at summer schools
(Optimization) IFCAM summer school, IISc Bangalore, 2019
(Optimization) ACM summer school on Algorithmic and Theoretical Aspects of Machine Learning, IIIT Bangalore, 2019
(Optimization) Discussion meeting on Statistical Physics of Machine Learning, ICTS Bengaluru, 2020 [Video Part1 Part2]
(Optimization) Mini-workshop on Modern Optimization, IIT Madras, 2020
What is machine learning? How can it help? [Slides]
Dept. of Physics, IISc Bangalore, 2018
Research talks
Reverse Experience Replay: A Way to Learn From Dependent Data [Slides]
C-MINDS Seminar, IIT Bombay, 2021
Google Learning Theory Conference, 2021
Minimax Optimization with Smooth Algorithmic Adversaries [Slides]
DST-BMBF Indo German Workshop on AI, 2021
Pitfalls of Deep Learning [Slides]
MINDS & CIS Seminar, Johns Hopkins University, 2021 [Video]
Google Algorithms Seminar, 2021
ML Reading Group, MSR NYC, 2021
ATAL Faculty Development Program, University of Mysore, 2021
Projection Efficient Subgradient Method and Optimal Nonsmooth Frank Wolfe Method [Slides]
C-MINDS Seminar, IIT Bombay, 2021
IIT Kanpur Signal Processing Society Seminar, 2020 [Video]
MOReL: Model-Based Offline Reinforcement Learning [Slides]
AI@Peenya webinar, M. S. Ramaiah University of Applied Sciences, Bengaluru, 2020
What is local optimality in nonconvex nonconcave minimax optimization? [Slides]
Workshop on Bridging Game Theory and Deep Learning, NeurIPS 2019 [Video]
International Conference on Continuous Optimization (ICCOPT), Berlin, 2019
SGD for Least Squares Regression: Towards Minimax Optimality with the Final Iterate [Slides]
Learning Minimax Estimators via Online Learning [Slides]
Workshop on Advances in Applied Probability, ICTS, Bengaluru, 2019
Efficient Algorithms for Smooth Minimax Optimization
INRIA, Paris, France, 2019
Online Non-Convex Learning: Following the Perturbed Leader is Optimal [Slides]
Theory lunch, CSA Dept., IISc Bangalore, 2019
Workshop on Stochastic Optimization in Networks and Related Topics, IIT Bombay, 2019
Smoothed Analysis of Burer-Monteiro Approach for Low Rank Solutions to SDPs [Slides]
Workshop on Learning Theory, TIFR, Mumbai, 2019 [Video Part I Part II]
Allerton Conference on Communication, Computing and Control, UIUC, 2018
Workshop on Randomized Numerical Linear Algebra and Applications, Simons Institute, UC Berkeley, 2018 [Video]
On Momentum Methods and Acceleration in Stochastic Optimization [Slides]
MILA, University of Montreal, Canada, 2018 [Video]
Microsoft Research Montreal, Canada, 2018
Microsoft Research Cambridge, UK, 2018
Statistics seminar, University of Cambridge, UK, 2018
How to Escape Saddle Points Efficiently [Slides]
Discussion Meeting on Statistical Physics of Machine Learning, ICTS, Bengaluru, 2020 [Video]
CSE Dept. Seminar, IIT Bombay, 2019
Workshop on Modern Trends in Nonconvex Optimization for Machine Learning, ICML, Sweden, 2018
WNCG Seminar, The University of Texas at Austin, 2018
DOS Seminar, Georgia Tech, 2018
Workshop on Algorithms and Optimization, ICTS, Bengaluru, 2018 [Video]
Representation Learning workshop, Simons Institute, 2017 [Video]
Accelerated Stochastic Gradient Descent [Slides]
IISA International Conference on Statistics, Hyderabad, 2017
STCS Colloquium, TIFR Mumbai, 2017
EE Seminar, IIT Bombay, 2017
Optimization and Statistical Learning, Les Houches, France, 2017
Scientific and Statistical Computing Seminar, University of Chicago, 2017
SINE Seminar, UIUC, 2017
AI Seminar, UCSD, 2017
NCC, IIT Madras, 2017
Near-Optimal Streaming PCA: Matching Matrix Bernstein with Oja's Algorithm [Slides]
COLT 2016 [Video]
Fast Exact Matrix Completion with Finite Samples
COLT 2015
Non-convex Robust PCA [Slides]
SIA Group Meeting, EECS MIT 2015
MSR Summer School, IISc Bangalore 2015 [Part I]
ECE Seminar, Boston University 2015
Statistical Guarantees for Alternating Minimization [Slides]
MSR New England, 2014 [Video]
TTI Chicago, 2014
CSA seminar, IISc Bangalore, 2014
EE seminar, IIT Bombay, 2014
Learning Sparsely-Used Overcomplete Dictionaries
Simons seminar, UT Austin, 2013
OPT workshop, NIPS 2013
One-Bit Compressed Sensing: Provable Support and Vector Recovery [Slides]
ICML 2013 [Video]
Low-rank Matrix Completion using Alternating Minimization [Slides]
OPT workshop, NIPS 2012 [Video]
STOC 2013
Learning the Graph of Epidemic Cascades [Slides]
ACM SIGMETRICS/Performance 2012
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