Animashree Anandkumar

Differentially Private Video Activity Recognition WACV 2024 ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation NeurIPS 2023 Distributionally Robust Policy Gradient for Offline Contextual Bandits AISTATS 2023 Geometry-Informed Neural Operator for Large-Scale 3D PDEs NeurIPS 2023 LeanDojo: Theorem Proving with Retrieval-Augmented Language Models NeurIPS 2023 Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach IJCAI 2023 Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials NeurIPS 2023 Diffusion Models for Adversarial Purification ICML 2022 Langevin Monte Carlo for Contextual Bandits ICML 2022 Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems AISTATS 2022 Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control COLT 2022 Understanding The Robustness in Vision Transformers ICML 2022 Active Learning under Label Shift AISTATS 2021 Deep Bayesian Quadrature Policy Optimization AAAI 2021 Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection ICML 2021 Robust Reinforcement Learning: A Constrained Game-theoretic Approach L4DC 2021 SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies ICML 2021 Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning ICML 2021 Angular Visual Hardness ICML 2020 Automated Synthetic-to-Real Generalization ICML 2020 Implicit competitive regularization in GANs ICML 2020 OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation UAI 2020 Semi-Supervised StyleGAN for Disentanglement Learning ICML 2020 Open Vocabulary Learning on Source Code with a Graph-Structured Cache ICML 2019 Regularized Learning for Domain Adaptation under Label Shifts ICLR 2019 Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs ICLR 2018 Deep Active Learning for Named Entity Recognition ICLR 2018 Learning From Noisy Singly-labeled Data ICLR 2018 Question Type Guided Attention in Visual Question Answering ECCV 2018 signSGD: Compressed Optimisation for Non-Convex Problems ICML 2018 Stochastic Activation Pruning for Robust Adversarial Defense ICLR 2018 StrassenNets: Deep Learning with a Multiplication Budget ICML 2018 Analyzing Tensor Power Method Dynamics in Overcomplete Regime JMLR 2017 Efficient approaches for escaping higher order saddle points in non-convex optimization COLT 2016 Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies COLT 2016 Reinforcement Learning of POMDPs using Spectral Methods COLT 2016 Learning Overcomplete Latent Variable Models through Tensor Methods COLT 2015 Online Tensor Methods for Learning Latent Variable Models JMLR 2015 When Are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity JMLR 2015 A Tensor Approach to Learning Mixed Membership Community Models JMLR 2014 High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models JMLR 2014 Learning Sparsely Used Overcomplete Dictionaries COLT 2014 Non-convex Robust PCA NeurIPS 2014 Nonparametric Estimation of Multi-View Latent Variable Models ICML 2014 Tensor Decompositions for Learning Latent Variable Models JMLR 2014 A Tensor Spectral Approach to Learning Mixed Membership Community Models COLT 2013 Learning Linear Bayesian Networks with Latent Variables ICML 2013 A Method of Moments for Mixture Models and Hidden Markov Models COLT 2012 High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion JMLR 2012 High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions NeurIPS 2011 Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates JMLR 2011 Learning Latent Tree Graphical Models JMLR 2011 Spectral Methods for Learning Multivariate Latent Tree Structure NeurIPS 2011