# Prateek Jain

Affiliations:- Microsoft Research India (former)
- UT Austin, USA (former)
- IIT Kanpur, India (former)

According to our database

Collaborative distances:

^{1}, Prateek Jain authored at least 168 papers between 2004 and 2024.Collaborative distances:

## Timeline

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## Bibliography

2024

CoRR, 2024

CoRR, 2024

CoRR, 2024

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Proceedings of the Computer Vision - ECCV 2024, 2024

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components.

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

CoRR, 2023

CoRR, 2023

CoRR, 2023

End-to-End Neural Network Compression via 𝓁<sub>1</sub>/𝓁<sub>2</sub> Regularized Latency Surrogates.

CoRR, 2023

CoRR, 2023

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints.

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency.

Proceedings of the International Conference on Machine Learning, 2023

Proceedings of the International Conference on Machine Learning, 2023

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks.

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent.

Trans. Mach. Learn. Res., 2022

CoRR, 2022

Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks.

CoRR, 2022

CoRR, 2022

CoRR, 2022

CoRR, 2022

CoRR, 2022

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Proceedings of the Tenth International Conference on Learning Representations, 2022

Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs.

Proceedings of the Tenth International Conference on Learning Representations, 2022

(Nearly) Optimal Private Linear Regression for Sub-Gaussian Data via Adaptive Clipping.

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

SIAM J. Optim., 2021

CoRR, 2021

CoRR, 2021

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems.

Proceedings of the 38th International Conference on Machine Learning, 2021

Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates.

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Nonconvex Optimization for Signal Processing and Machine Learning [From the Guest Editors].

IEEE Signal Process. Mag., 2020

CoRR, 2020

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Proceedings of the 37th International Conference on Machine Learning, 2020

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

CoRR, 2019

CoRR, 2019

Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, 2019

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Proceedings of the 36th International Conference on Machine Learning, 2019

Proceedings of the Conference on Learning Theory, 2019

Proceedings of the Conference on Learning Theory, 2019

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems.

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Proc. ACM Program. Lang., 2018

CoRR, 2018

CoRR, 2018

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network.

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices.

Proceedings of the 35th International Conference on Machine Learning, 2018

Proceedings of the 6th International Conference on Learning Representations, 2018

Proceedings of the 6th International Conference on Learning Representations, 2018

Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form.

Proceedings of the Conference On Learning Theory, 2018

Proceedings of the Conference On Learning Theory, 2018

2017

IEEE Trans. Inf. Theory, 2017

Parallelizing Stochastic Gradient Descent for Least Squares Regression: Mini-batching, Averaging, and Model Misspecification.

J. Mach. Learn. Res., 2017

Found. Trends Mach. Learn., 2017

CoRR, 2017

CoRR, 2017

CoRR, 2017

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Proceedings of the 34th International Conference on Machine Learning, 2017

Proceedings of the 34th International Conference on Machine Learning, 2017

Proceedings of the 34th International Conference on Machine Learning, 2017

Proceedings of the 34th International Conference on Machine Learning, 2017

A Markov Chain Theory Approach to Characterizing the Minimax Optimality of Stochastic Gradient Descent (for Least Squares).

Proceedings of the 37th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, 2017

Proceedings of the 30th Conference on Learning Theory, 2017

Proceedings of the Programming Languages and Systems - 15th Asian Symposium, 2017

Global Convergence of Non-Convex Gradient Descent for Computing Matrix Squareroot.

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning.

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

SIAM J. Optim., 2016

CoRR, 2016

CoRR, 2016

Matching Matrix Bernstein with Little Memory: Near-Optimal Finite Sample Guarantees for Oja's Algorithm.

CoRR, 2016

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja's Algorithm.

Proceedings of the 29th Conference on Learning Theory, 2016

Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations.

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

IEEE Trans. Signal Process., 2015

CoRR, 2015

CoRR, 2015

To Drop or Not to Drop: Robustness, Consistency and Differential Privacy Properties of Dropout.

CoRR, 2015

CoRR, 2015

Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 2015

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Proceedings of the 32nd International Conference on Machine Learning, 2015

Proceedings of the 32nd International Conference on Machine Learning, 2015

Proceedings of The 28th Conference on Learning Theory, 2015

Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015

2014

Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning.

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Proceedings of the 31th International Conference on Machine Learning, 2014

Proceedings of the 31th International Conference on Machine Learning, 2014

Proceedings of the 31th International Conference on Machine Learning, 2014

Proceedings of The 27th Conference on Learning Theory, 2014

Learning Mixtures of Discrete Product Distributions using Spectral Decompositions.

Proceedings of The 27th Conference on Learning Theory, 2014

2013

IEEE ACM Trans. Comput. Biol. Bioinform., 2013

CoRR, 2013

CoRR, 2013

CoRR, 2013

Proceedings of the 22nd International World Wide Web Conference, 2013

Proceedings of the Symposium on Theory of Computing Conference, 2013

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions.

Proceedings of the 30th International Conference on Machine Learning, 2013

Proceedings of the 30th International Conference on Machine Learning, 2013

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Proceedings of the COLT 2012, 2012

J. Mach. Learn. Res., 2012

CoRR, 2012

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Proceedings of the Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, 2012

2011

CoRR, 2011

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Stat. Anal. Data Min., 2008

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Proceedings of the Machine Learning, 2008

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Proceedings of the Machine Learning, 2007

2005

Proceedings of the Pattern Recognition and Machine Intelligence, 2005

2004

Proceedings of the SIGDIAL 2004 Workshop, The 5th Annual Meeting of the Special Interest Group on Discourse and Dialogue, April 30, 2004