Nilesh Tripuraneni

According to our database, Nilesh Tripuraneni authored at least 22 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models.

Steve Yadlowsky, Lyric Doshi, Nilesh Tripuraneni

CoRR, 2023

Choosing a Proxy Metric from Past Experiments.

Nilesh Tripuraneni, Lee Richardson, Alexander D'Amour, Jacopo Soriano, Steve Yadlowsky

CoRR, 2023

2022

Learning Beyond the Standard Model (of Data)

Nilesh Tripuraneni

PhD thesis, 2022

Joint Representation Training in Sequential Tasks with Shared Structure.

Aldo Pacchiano, Ofir Nachum, Nilesh Tripuraneni, Peter L. Bartlett

CoRR, 2022

Optimal Mean Estimation without a Variance.

Yeshwanth Cherapanamjeri, Nilesh Tripuraneni, Peter L. Bartlett, Michael I. Jordan

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

2021

Covariate Shift in High-Dimensional Random Feature Regression.

Nilesh Tripuraneni, Ben Adlam, Jeffrey Pennington

CoRR, 2021

Parallelizing Contextual Linear Bandits.

Jeffrey Chan, Aldo Pacchiano, Nilesh Tripuraneni, Yun S. Song, Peter L. Bartlett, Michael I. Jordan

CoRR, 2021

Overparameterization Improves Robustness to Covariate Shift in High Dimensions.

Nilesh Tripuraneni, Ben Adlam, Jeffrey Pennington

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

Provable Meta-Learning of Linear Representations.

Nilesh Tripuraneni, Chi Jin, Michael I. Jordan

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

2020

Optimal Robust Linear Regression in Nearly Linear Time.

Yeshwanth Cherapanamjeri, Efe Aras, Nilesh Tripuraneni, Michael I. Jordan, Nicolas Flammarion, Peter L. Bartlett

CoRR, 2020

Algorithms for heavy-tailed statistics: regression, covariance estimation, and beyond.

Yeshwanth Cherapanamjeri, Samuel B. Hopkins, Tarun Kathuria, Prasad Raghavendra, Nilesh Tripuraneni

Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, 2020

On the Theory of Transfer Learning: The Importance of Task Diversity.

Nilesh Tripuraneni, Michael I. Jordan, Chi Jin

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

Single Point Transductive Prediction.

Nilesh Tripuraneni, Lester Mackey

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

2019

Debiasing Linear Prediction.

Nilesh Tripuraneni, Lester Mackey

CoRR, 2019

Rao-Blackwellized Stochastic Gradients for Discrete Distributions.

Runjing Liu, Jeffrey Regier, Nilesh Tripuraneni, Michael I. Jordan, Jon D. McAuliffe

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

2018

Stochastic Cubic Regularization for Fast Nonconvex Optimization.

Nilesh Tripuraneni, Mitchell Stern, Chi Jin, Jeffrey Regier, Michael I. Jordan

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

Averaging Stochastic Gradient Descent on Riemannian Manifolds.

Nilesh Tripuraneni, Nicolas Flammarion, Francis R. Bach, Michael I. Jordan

Proceedings of the Conference On Learning Theory, 2018

2017

Quantitative criticism of literary relationships.

Joseph P. Dexter, Theodore Katz, Nilesh Tripuraneni, Tathagata Dasgupta, Ajay Kannan, James Brofos, Jorge A. Bonilla Lopez, Lea A. Schroeder, Adriana Casarez, Maxim Rabinovich, Ayelet Haimson Lushkov, Pramit Chaudhuri

Proc. Natl. Acad. Sci. USA, 2017

Magnetic Hamiltonian Monte Carlo.

Nilesh Tripuraneni, Mark Rowland, Zoubin Ghahramani, Richard E. Turner

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

Lost Relatives of the Gumbel Trick.

Matej Balog, Nilesh Tripuraneni, Zoubin Ghahramani, Adrian Weller

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

2015

Particle Gibbs for Infinite Hidden Markov Models.

Nilesh Tripuraneni, Shixiang Gu, Hong Ge, Zoubin Ghahramani

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

2013

Evaluating Stream Filtering for Entity Profile Updates for TREC 2013.

John R. Frank, Steven J. Bauer, Max Kleiman-Weiner, Daniel A. Roberts, Nilesh Tripuraneni, Ce Zhang, Christopher Ré, Ellen M. Voorhees, Ian Soboroff

Proceedings of The Twenty-Second Text REtrieval Conference, 2013