Anant Raj

According to our database, Anant Raj authored at least 41 papers between 2013 and 2024.

Collaborative distances:

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

2024

Learning to Abstain From Uninformative Data.

Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen

Trans. Mach. Learn. Res., 2024

Deep Generative Sampling in the Dual Divergence Space: A Data-efficient & Interpretative Approach for Generative AI.

Sahil Garg, Anderson Schneider, Anant Raj, Kashif Rasul, Yuriy Nevmyvaka, Sneihil Gopal, Amit Dhurandhar, Guillermo A. Cecchi, Irina Rish

CoRR, 2024

Towards Principled, Practical Policy Gradient for Bandits and Tabular MDPs.

Michael Lu, Matin Aghaei, Anant Raj, Sharan Vaswani

RLJ, 2024

From Inverse Optimization to Feasibility to ERM.

Saurabh Mishra, Anant Raj, Sharan Vaswani

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

2023

Variational Principles for Mirror Descent and Mirror Langevin Dynamics.

Belinda Tzen, Anant Raj, Maxim Raginsky, Francis R. Bach

IEEE Control. Syst. Lett., 2023

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

Open X.-Embodiment Collaboration, Abhishek Padalkar, Acorn Pooley, Ajinkya Jain, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Raj, Anikait Singh, Anthony Brohan, Antonin Raffin, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Haoshu Fang, Haochen Shi, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, et al.

CoRR, 2023

Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent.

Lingjiong Zhu, Mert Gürbüzbalaban, Anant Raj, Umut Simsekli

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.

Anant Raj, Umut Simsekli, Alessandro Rudi

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.

Anant Raj, Lingjiong Zhu, Mert Gürbüzbalaban, Umut Simsekli

Proceedings of the International Conference on Machine Learning, 2023

Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms.

Aniket Das, Dheeraj M. Nagaraj, Anant Raj

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares.

Anant Raj, Melih Barsbey, Mert Gürbüzbalaban, Lingjiong Zhu, Umut Simsekli

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

Explicit Regularization in Overparametrized Models via Noise Injection.

Antonio Orvieto, Anant Raj, Hans Kersting, Francis R. Bach

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

2022

Causal Feature Selection via Orthogonal Search.

Ashkan Soleymani, Anant Raj, Stefan Bauer, Bernhard Schölkopf, Michel Besserve

Trans. Mach. Learn. Res., 2022

MAViC: Multimodal Active Learning for Video Captioning.

Gyanendra Das, Xavier Thomas, Anant Raj, Vikram Gupta

CoRR, 2022

Convergence of Uncertainty Sampling for Active Learning.

Anant Raj, Francis R. Bach

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.

Anant Raj, Pooria Joulani, András György, Csaba Szepesvári

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

2021

Explicit Regularization of Stochastic Gradient Methods through Duality.

Anant Raj, Francis R. Bach

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Non-stationary Online Regression.

Anant Raj, Pierre Gaillard, Christophe Saad

CoRR, 2020

Model-specific Data Subsampling with Influence Functions.

Anant Raj, Cameron Musco, Lester Mackey, Nicoló Fusi

CoRR, 2020

Dual Instrumental Variable Regression.

Krikamol Muandet, Arash Mehrjou, Si Kai Lee, Anant Raj

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

Stochastic Stein Discrepancies.

Jackson Gorham, Anant Raj, Lester Mackey

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.

Pooria Joulani, Anant Raj, András György, Csaba Szepesvári

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

Importance Sampling via Local Sensitivity.

Anant Raj, Cameron Musco, Lester Mackey

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.

Anant Raj, Jacob Eapen

Comput. Phys. Commun., 2019

Dual IV: A Single Stage Instrumental Variable Regression.

Krikamol Muandet, Arash Mehrjou, Si Kai Lee, Anant Raj

CoRR, 2019

A Differentially Private Kernel Two-Sample Test.

Anant Raj, Ho Chung Leon Law, Dino Sejdinovic, Mijung Park

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Sobolev Descent.

Youssef Mroueh, Tom Sercu, Anant Raj

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

2018

Regularized Kernel and Neural Sobolev Descent: Dynamic MMD Transport.

Youssef Mroueh, Tom Sercu, Anant Raj

CoRR, 2018

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

Anant Raj, Sebastian U. Stich

CoRR, 2018

Revisiting First-Order Convex Optimization Over Linear Spaces.

Francesco Locatello, Anant Raj, Sai Praneeth Karimireddy, Gunnar Rätsch, Bernhard Schölkopf, Sebastian U. Stich, Martin Jaggi

CoRR, 2018

On Matching Pursuit and Coordinate Descent.

Francesco Locatello, Anant Raj, Sai Praneeth Karimireddy, Gunnar Rätsch, Bernhard Schölkopf, Sebastian U. Stich, Martin Jaggi

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

Sobolev GAN.

Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng

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

2017

Safe Adaptive Importance Sampling.

Sebastian U. Stich, Anant Raj, Martin Jaggi

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

Approximate Steepest Coordinate Descent.

Sebastian U. Stich, Anant Raj, Martin Jaggi

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

Local Group Invariant Representations via Orbit Embeddings.

Anant Raj, Abhishek Kumar, Youssef Mroueh, Tom Fletcher, Bernhard Schölkopf

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

2016

Screening Rules for Convex Problems.

Anant Raj, Jakob Olbrich, Bernd Gärtner, Bernhard Schölkopf, Martin Jaggi

CoRR, 2016

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

Ayush Mittal, Anant Raj, Vinay P. Namboodiri, Tinne Tuytelaars

CoRR, 2016

2015

Mind the Gap: Subspace based Hierarchical Domain Adaptation.

Anant Raj, Vinay P. Namboodiri, Tinne Tuytelaars

CoRR, 2015

Subspace Alignment Based Domain Adaptation for RCNN Detector.

Anant Raj, Vinay P. Namboodiri, Tinne Tuytelaars

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Scalable Kernel Methods via Doubly Stochastic Gradients.

Bo Dai, Bo Xie, Niao He, Yingyu Liang, Anant Raj, Maria-Florina Balcan, Le Song

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.

Devanshu Arya, Anant Raj, Rajesh M. Hegde

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013