Anant Raj

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 54

Top Topics

Importance Sampling

Matching Pursuit

Domain Adaptation

Stochastic Gradient

Top Venues

Publications

Michael Lu, Matin Aghaei, Anant Raj, Sharan Vaswani
Towards Principled, Practical Policy Gradient for Bandits and Tabular MDPs. CoRR (2024)
Sahil Garg, Anderson Schneider, Anant Raj, Kashif Rasul, Yuriy Nevmyvaka, Sneihil Gopal, Amit Dhurandhar, Guillermo A. Cecchi, Irina Rish
Deep Generative Sampling in the Dual Divergence Space: A Data-efficient & Interpretative Approach for Generative AI. CoRR (2024)
Saurabh Mishra, Anant Raj, Sharan Vaswani
From Inverse Optimization to Feasibility to ERM. CoRR (2024)
Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen
Learning to Abstain From Uninformative Data. Trans. Mach. Learn. Res. 2024 (2024)
Antonio Orvieto, Anant Raj, Hans Kersting, Francis R. Bach
Explicit Regularization in Overparametrized Models via Noise Injection. AISTATS (2023)
Lingjiong Zhu, Mert Gürbüzbalaban, Anant Raj, Umut Simsekli
Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent. NeurIPS (2023)
Belinda Tzen, Anant Raj, Maxim Raginsky, Francis R. Bach
Variational Principles for Mirror Descent and Mirror Langevin Dynamics. IEEE Control. Syst. Lett. 7 (2023)
Lingjiong Zhu, Mert Gürbüzbalaban, Anant Raj, Umut Simsekli
Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent. CoRR (2023)
Anant Raj, Umut Simsekli, Alessandro Rudi
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models. CoRR (2023)
Aniket Das, Dheeraj M. Nagaraj, Anant Raj
Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms. COLT (2023)
Anant Raj, Lingjiong Zhu, Mert Gürbüzbalaban, Umut Simsekli
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions. CoRR (2023)
Anant Raj, Umut Simsekli, Alessandro Rudi
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models. NeurIPS (2023)
Anant Raj, Melih Barsbey, Mert Gürbüzbalaban, Lingjiong Zhu, Umut Simsekli
Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares. ALT (2023)
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.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models. CoRR (2023)
Anant Raj, Lingjiong Zhu, Mert Gürbüzbalaban, Umut Simsekli
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions. ICML (2023)
Belinda Tzen, Anant Raj, Maxim Raginsky, Francis R. Bach
Variational Principles for Mirror Descent and Mirror Langevin Dynamics. CoRR (2023)
Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen
Learning to Abstain From Uninformative Data. CoRR (2023)
Ashkan Soleymani, Anant Raj, Stefan Bauer, Bernhard Schölkopf, Michel Besserve
Causal Feature Selection via Orthogonal Search. Trans. Mach. Learn. Res. 2022 (2022)
Anant Raj, Francis R. Bach
Convergence of Uncertainty Sampling for Active Learning. ICML (2022)
Antonio Orvieto, Anant Raj, Hans Kersting, Francis R. Bach
Explicit Regularization in Overparametrized Models via Noise Injection. CoRR (2022)
Anant Raj, Pooria Joulani, András György, Csaba Szepesvári
Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning. AISTATS (2022)
Anant Raj, Melih Barsbey, Mert Gürbüzbalaban, Lingjiong Zhu, Umut Simsekli
Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares. CoRR (2022)
Gyanendra Das, Xavier Thomas, Anant Raj, Vikram Gupta
MAViC: Multimodal Active Learning for Video Captioning. CoRR (2022)
Anant Raj, Francis R. Bach
Explicit Regularization of Stochastic Gradient Methods through Duality. AISTATS (2021)
Anant Raj, Francis R. Bach
Convergence of Uncertainty Sampling for Active Learning. CoRR (2021)
Jackson Gorham, Anant Raj, Lester Mackey
Stochastic Stein Discrepancies. NeurIPS (2020)
Anant Raj, Cameron Musco, Lester Mackey
Importance Sampling via Local Sensitivity. AISTATS (2020)
Anant Raj, Pierre Gaillard, Christophe Saad
Non-stationary Online Regression. CoRR (2020)
Jackson Gorham, Anant Raj, Lester Mackey
Stochastic Stein Discrepancies. CoRR (2020)
Krikamol Muandet, Arash Mehrjou, Si Kai Lee, Anant Raj
Dual Instrumental Variable Regression. NeurIPS (2020)
Anant Raj, Stefan Bauer, Ashkan Soleymani, Michel Besserve, Bernhard Schölkopf
Causal Feature Selection via Orthogonal Search. CoRR (2020)
Anant Raj, Francis R. Bach
Explicit Regularization of Stochastic Gradient Methods through Duality. CoRR (2020)
Anant Raj, Cameron Musco, Lester Mackey, Nicoló Fusi
Model-specific Data Subsampling with Influence Functions. CoRR (2020)
Pooria Joulani, Anant Raj, András György, Csaba Szepesvári
A simpler approach to accelerated optimization: iterative averaging meets optimism. ICML (2020)
Krikamol Muandet, Arash Mehrjou, Si Kai Lee, Anant Raj
Dual IV: A Single Stage Instrumental Variable Regression. CoRR (2019)
Anant Raj, Jacob Eapen
Phonon dispersion using the ratio of zero-time correlations among conjugate variables: Computing full phonon dispersion surface of graphene. Comput. Phys. Commun. 238 (2019)
Anant Raj, Cameron Musco, Lester Mackey
Importance Sampling via Local Sensitivity. CoRR (2019)
Anant Raj, Ho Chung Leon Law, Dino Sejdinovic, Mijung Park
A Differentially Private Kernel Two-Sample Test. ECML/PKDD (1) (2019)
Youssef Mroueh, Tom Sercu, Anant Raj
Sobolev Descent. AISTATS (2019)
Francesco Locatello, Anant Raj, Sai Praneeth Karimireddy, Gunnar Rätsch, Bernhard Schölkopf, Sebastian U. Stich, Martin Jaggi
On Matching Pursuit and Coordinate Descent. ICML (2018)
Anant Raj, Sebastian U. Stich
SVRG meets SAGA: k-SVRG - A Tale of Limited Memory. CoRR (2018)
Youssef Mroueh, Tom Sercu, Anant Raj
Regularized Kernel and Neural Sobolev Descent: Dynamic MMD Transport. CoRR (2018)
Francesco Locatello, Anant Raj, Sai Praneeth Karimireddy, Gunnar Rätsch, Bernhard Schölkopf, Sebastian U. Stich, Martin Jaggi
Revisiting First-Order Convex Optimization Over Linear Spaces. CoRR (2018)
Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng
Sobolev GAN. ICLR (Poster) (2018)
Anant Raj, Ho Chung Leon Law, Dino Sejdinovic, Mijung Park
A Differentially Private Kernel Two-Sample Test. CoRR (2018)
Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng
Sobolev GAN. CoRR (2017)
Sebastian U. Stich, Anant Raj, Martin Jaggi
Safe Adaptive Importance Sampling. CoRR (2017)
Sebastian U. Stich, Anant Raj, Martin Jaggi
Approximate Steepest Coordinate Descent. ICML (2017)
Sebastian U. Stich, Anant Raj, Martin Jaggi
Approximate Steepest Coordinate Descent. CoRR (2017)
Anant Raj, Abhishek Kumar, Youssef Mroueh, Tom Fletcher, Bernhard Schölkopf
Local Group Invariant Representations via Orbit Embeddings. AISTATS (2017)
Sebastian U. Stich, Anant Raj, Martin Jaggi
Safe Adaptive Importance Sampling. NIPS (2017)
Ayush Mittal, Anant Raj, Vinay P. Namboodiri, Tinne Tuytelaars
Unsupervised Domain Adaptation in the Wild: Dealing with Asymmetric Label Sets. CoRR (2016)
Anant Raj, Jakob Olbrich, Bernd Gärtner, Bernhard Schölkopf, Martin Jaggi
Screening Rules for Convex Problems. CoRR (2016)
Anant Raj, Abhishek Kumar, Youssef Mroueh, P. Thomas Fletcher, Bernhard Schölkopf
Local Group Invariant Representations via Orbit Embeddings. CoRR (2016)
Anant Raj, Vinay P. Namboodiri, Tinne Tuytelaars
Subspace Alignment Based Domain Adaptation for RCNN Detector. CoRR (2015)
Anant Raj, Vinay P. Namboodiri, Tinne Tuytelaars
Mind the Gap: Subspace based Hierarchical Domain Adaptation. CoRR (2015)
Anant Raj, Vinay P. Namboodiri, Tinne Tuytelaars
Subspace Alignment Based Domain Adaptation for RCNN Detector. BMVC (2015)
Bo Dai, Bo Xie, Niao He, Yingyu Liang, Anant Raj, Maria-Florina Balcan, Le Song
Scalable Kernel Methods via Doubly Stochastic Gradients. NIPS (2014)
Bo Dai, Bo Xie, Niao He, Yingyu Liang, Anant Raj, Maria-Florina Balcan, Le Song
Scalable Kernel Methods via Doubly Stochastic Gradients. CoRR (2014)
Devanshu Arya, Anant Raj, Rajesh M. Hegde
Significance of variable height-bandwidth group delay filters in the spectral reconstruction of speech. INTERSPEECH (2013)