Nishant A. Mehta

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 27

Top Venues

CoRR

AISTATS

ALT

J. Mach. Learn. Res.

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Bingshan Hu, Nishant A. Mehta
Open Problem: Optimal Rates for Stochastic Decision-Theoretic Online Learning Under Differentially Privacy. COLT (2024)
Quan Nguyen, Nishant A. Mehta
Near-optimal Per-Action Regret Bounds for Sleeping Bandits. CoRR (2024)
Ali Mortazavi, Junhao Lin, Nishant A. Mehta
On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: A regret lower bound for WSU-UX. CoRR (2024)
Ali Mortazavi, Junhao Lin, Nishant A. Mehta
On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: a regret lower bound for WSU-UX. AISTATS (2024)
Quan Nguyen, Nishant A. Mehta
Adversarial Online Multi-Task Reinforcement Learning. CoRR (2023)
Nishant A. Mehta, Junpei Komiyama, Vamsi K. Potluru, Andrea Nguyen, Mica Grant-Hagen
Thresholded linear bandits. AISTATS (2023)
Quan Nguyen, Nishant A. Mehta
Adversarial Online Multi-Task Reinforcement Learning. ALT (2023)
Nishant A. Mehta
An improved regret analysis for UCB-N and TS-N. CoRR (2023)
Cristóbal Guzmán, Nishant A. Mehta, Ali Mortazavi
Best-Case Lower Bounds in Online Learning. CoRR (2021)
Bingshan Hu, Zhiming Huang, Nishant A. Mehta
Optimal Algorithms for Private Online Learning in a Stochastic Environment. CoRR (2021)
Cristóbal Guzmán, Nishant A. Mehta, Ali Mortazavi
Best-case lower bounds in online learning. NeurIPS (2021)
Pon Kumar Sharoff, Nishant A. Mehta, Ravi Ganti
A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option. CoRR (2020)
Peter D. Grünwald, Nishant A. Mehta
Fast Rates for General Unbounded Loss Functions: From ERM to Generalized Bayes. J. Mach. Learn. Res. 21 (2020)
Rianne de Heide, Alisa Kirichenko, Peter Grunwald, Nishant A. Mehta
Safe-Bayesian Generalized Linear Regression. AISTATS (2020)
Pon Kumar Sharoff, Nishant A. Mehta, Ravi Ganti
A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option. AISTATS (2020)
Peter D. Grünwald, Nishant A. Mehta
A tight excess risk bound via a unified PAC-Bayesian-Rademacher-Shtarkov-MDL complexity. ALT (2019)
Bingshan Hu, Nishant A. Mehta, Jianping Pan
Problem-dependent Regret Bounds for Online Learning with Feedback Graphs. UAI (2019)
Bingshan Hu, Yunjin Chen, Zhiming Huang, Nishant A. Mehta, Jianping Pan
Intelligent Caching Algorithms in Heterogeneous Wireless Networks with Uncertainty. ICDCS (2019)
Rianne de Heide, Alisa Kirichenko, Nishant A. Mehta, Peter Grünwald
Safe-Bayesian Generalized Linear Regression. CoRR (2019)
Rafael M. Frongillo, Nishant A. Mehta, Tom Morgan, Bo Waggoner
Multi-Observation Regression. AISTATS (2019)
Hamid Shayestehmanesh, Sajjad Azami, Nishant A. Mehta
Dying Experts: Efficient Algorithms with Optimal Regret Bounds. NeurIPS (2019)
Hamid Shayestehmanesh, Sajjad Azami, Nishant A. Mehta
Dying Experts: Efficient Algorithms with Optimal Regret Bounds. CoRR (2019)
Rafael M. Frongillo, Nishant A. Mehta, Tom Morgan, Bo Waggoner
Multi-Observation Regression. CoRR (2018)
Peter D. Grünwald, Nishant A. Mehta
A Tight Excess Risk Bound via a Unified PAC-Bayesian-Rademacher-Shtarkov-MDL Complexity. CoRR (2017)
Peter D. Grünwald, Nishant A. Mehta
Fast Rates with Unbounded Losses. CoRR (2016)
Nishant A. Mehta, Alistair P. Rendell, Anish Varghese, Christfried Webers
CompAdaGrad: A Compressed, Complementary, Computationally-Efficient Adaptive Gradient Method. CoRR (2016)
Nishant A. Mehta
From exp-concavity to variance control: O(1/n) rates and online-to-batch conversion with high probability. CoRR (2016)
Tim van Erven, Peter D. Grünwald, Nishant A. Mehta, Mark D. Reid, Robert C. Williamson
Fast rates in statistical and online learning. J. Mach. Learn. Res. 16 (2015)
Mark D. Reid, Rafael M. Frongillo, Robert C. Williamson, Nishant A. Mehta
Generalized Mixability via Entropic Duality. COLT (2015)
Tim van Erven, Peter D. Grünwald, Nishant A. Mehta, Mark D. Reid, Robert C. Williamson
Fast rates in statistical and online learning. CoRR (2015)
Nishant A. Mehta, Robert C. Williamson
From Stochastic Mixability to Fast Rates. NIPS (2014)
Nishant A. Mehta, Robert C. Williamson
From Stochastic Mixability to Fast Rates. CoRR (2014)
Mark D. Reid, Rafael M. Frongillo, Robert C. Williamson, Nishant A. Mehta
Generalized Mixability via Entropic Duality. CoRR (2014)
Ryan R. Curtin, James R. Cline, N. P. Slagle, William B. March, Parikshit Ram, Nishant A. Mehta, Alexander G. Gray
MLPACK: a scalable C++ machine learning library. J. Mach. Learn. Res. 14 (1) (2013)
Nishant A. Mehta, Dongryeol Lee, Alexander G. Gray
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL CoRR (2012)
Nishant A. Mehta, Alexander G. Gray
On the Sample Complexity of Predictive Sparse Coding CoRR (2012)
Jacqueline Fairley, George K. Georgoulas, Nishant A. Mehta, Alexander G. Gray, Donald L. Bliwise
Computer detection approaches for the identification of phasic electromyographic (EMG) activity during human sleep. Biomed. Signal Process. Control. 7 (6) (2012)
Ryan R. Curtin, James R. Cline, N. P. Slagle, William B. March, Parikshit Ram, Nishant A. Mehta, Alexander G. Gray
MLPACK: A Scalable C++ Machine Learning Library CoRR (2012)
Nishant A. Mehta, Dongryeol Lee, Alexander G. Gray
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL. NIPS (2012)
Nishant A. Mehta, Alexander G. Gray
Generative and Latent Mean Map Kernels CoRR (2010)
Nishant A. Mehta, Alexander G. Gray
FuncICA for Time Series Pattern Discovery. SDM (2009)

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Publication Activity (10 Years)

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Nishant A. Mehta