← Authors

Animashree Anandkumar

53 papers · 2011–2024 · 12 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) πŸƒ Academic Marathon (13) 🌍 Conference Polyglot (12) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (26) πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ‘₯ Mega-Team (56) πŸ”¬ Deep Specialist (16) 🀝 Dynamic Duo (10) πŸš€ Conference Pioneer ⚑ Prolific Year (6) πŸ”₯ Unstoppable (14) πŸ—ƒοΈ Keyword Collector (75) πŸ“ˆ Trend Setter πŸ’Ž Century Club (53) ❓ The Questioner (2)

Conferences

ICML (15) JMLR (9) COLT (8) NIPS (7) ICLR (5) AISTATS (3) AAAI (1) ECCV (1) IJCAI (1) L4DC (1) UAI (1) WACV (1)

Top co-authors

Kamyar Azizzadenesheli (10) Zhiding Yu (7) Daniel Hsu (6) Rong Ge (6) Sham M. Kakade (4) Alan S. Willsky (4) Majid Janzamin (4) Anqi Liu (4) Animesh Garg (4) Yuke Zhu (3)

Research topics

Reinforcement Learning (1) Differential Privacy (1)

Keywords

spectral method (7) latent variable model (6) tensor decomposition (6) regret bound (4) graphical model (4) community detection (3) policy gradient (3) domain generalization (3) deep reinforcement learning (2) reinforcement learning (2) partially observable markov decision process (2) unsupervised learning (2) image classification (2) sample efficiency (2) sparse coding (2) structure learning (2) representation learning (2) transfer learning (2) image generation (2) semi-supervised learning (2)

Papers

Differentially Private Video Activity Recognition WACV 2024
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach IJCAI 2023
Distributionally Robust Policy Gradient for Offline Contextual Bandits AISTATS 2023
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models NIPS 2023
Geometry-Informed Neural Operator for Large-Scale 3D PDEs NIPS 2023
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials NIPS 2023
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation NIPS 2023
Thompson Sampling Achieves $\tilde{O}(\sqrt{T})$ Regret in Linear Quadratic Control COLT 2022
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems AISTATS 2022
Understanding The Robustness in Vision Transformers ICML 2022
Langevin Monte Carlo for Contextual Bandits ICML 2022
Diffusion Models for Adversarial Purification ICML 2022
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection ICML 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies ICML 2021
Active Learning under Label Shift AISTATS 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning ICML 2021
Deep Bayesian Quadrature Policy Optimization AAAI 2021
Robust Reinforcement Learning: A Constrained Game-theoretic Approach L4DC 2021
Implicit competitive regularization in GANs ICML 2020
Semi-Supervised StyleGAN for Disentanglement Learning ICML 2020
Angular Visual Hardness ICML 2020
Automated Synthetic-to-Real Generalization ICML 2020
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation UAI 2020
Open Vocabulary Learning on Source Code with a Graph-Structured Cache ICML 2019
Regularized Learning for Domain Adaptation under Label Shifts ICLR 2019
Stochastic Activation Pruning for Robust Adversarial Defense ICLR 2018
Question Type Guided Attention in Visual Question Answering ECCV 2018
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
signSGD: Compressed Optimisation for Non-Convex Problems ICML 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
Reinforcement Learning of POMDPs using Spectral Methods COLT 2016
Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies COLT 2016
Online Tensor Methods for Learning Latent Variable Models JMLR 2015
Learning Overcomplete Latent Variable Models through Tensor Methods COLT 2015
When Are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity JMLR 2015
Learning Sparsely Used Overcomplete Dictionaries COLT 2014
High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models JMLR 2014
A Tensor Approach to Learning Mixed Membership Community Models JMLR 2014
Tensor Decompositions for Learning Latent Variable Models JMLR 2014
Nonparametric Estimation of Multi-View Latent Variable Models ICML 2014
Non-convex Robust PCA NIPS 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 NIPS 2011
Spectral Methods for Learning Multivariate Latent Tree Structure NIPS 2011
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates JMLR 2011
Learning Latent Tree Graphical Models JMLR 2011