Anant Raj

Orcid: 0000-0002-0320-4733

According to our database1, Anant Raj authored at least 39 papers between 2013 and 2024.

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Bibliography

2024
From Inverse Optimization to Feasibility to ERM.
CoRR, 2024

2023
Variational Principles for Mirror Descent and Mirror Langevin Dynamics.
IEEE Control. Syst. Lett., 2023

Open X-Embodiment: Robotic Learning Datasets and RT-X Models.
CoRR, 2023

Learning to Abstain From Uninformative Data.
CoRR, 2023

Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions.
Proceedings of the International Conference on Machine Learning, 2023

Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares.
Proceedings of the International Conference on Algorithmic Learning Theory, 2023

Explicit Regularization in Overparametrized Models via Noise Injection.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Causal Feature Selection via Orthogonal Search.
Trans. Mach. Learn. Res., 2022

MAViC: Multimodal Active Learning for Video Captioning.
CoRR, 2022

Convergence of Uncertainty Sampling for Active Learning.
Proceedings of the International Conference on Machine Learning, 2022

Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Explicit Regularization of Stochastic Gradient Methods through Duality.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Non-stationary Online Regression.
CoRR, 2020

Model-specific Data Subsampling with Influence Functions.
CoRR, 2020

Dual Instrumental Variable Regression.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

A simpler approach to accelerated optimization: iterative averaging meets optimism.
Proceedings of the 37th International Conference on Machine Learning, 2020

Importance Sampling via Local Sensitivity.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Phonon dispersion using the ratio of zero-time correlations among conjugate variables: Computing full phonon dispersion surface of graphene.
Comput. Phys. Commun., 2019

Dual IV: A Single Stage Instrumental Variable Regression.
CoRR, 2019

A Differentially Private Kernel Two-Sample Test.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

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

2018
Regularized Kernel and Neural Sobolev Descent: Dynamic MMD Transport.
CoRR, 2018

SVRG meets SAGA: k-SVRG - A Tale of Limited Memory.
CoRR, 2018

Revisiting First-Order Convex Optimization Over Linear Spaces.
CoRR, 2018

On Matching Pursuit and Coordinate Descent.
Proceedings of the 35th International Conference on Machine Learning, 2018

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

2017
Safe Adaptive Importance Sampling.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Approximate Steepest Coordinate Descent.
Proceedings of the 34th International Conference on Machine Learning, 2017

Local Group Invariant Representations via Orbit Embeddings.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Screening Rules for Convex Problems.
CoRR, 2016

Unsupervised Domain Adaptation in the Wild: Dealing with Asymmetric Label Sets.
CoRR, 2016

2015
Mind the Gap: Subspace based Hierarchical Domain Adaptation.
CoRR, 2015

Subspace Alignment Based Domain Adaptation for RCNN Detector.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Scalable Kernel Methods via Doubly Stochastic Gradients.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Significance of variable height-bandwidth group delay filters in the spectral reconstruction of speech.
Proceedings of the INTERSPEECH 2013, 2013


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