← Authors

Inderjit Dhillon

30 papers · 2007–2024 · 8 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (8) πŸ—ΊοΈ Taxonomy Completionist (13) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (7) 🧭 Keyword Pioneer πŸƒ Academic Marathon (17) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🀝 Dynamic Duo (12) πŸ—ƒοΈ Keyword Collector (160) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ’Ž Century Club (30) πŸ”₯ Unstoppable (7) πŸ“ˆ Trend Setter

Conferences

ICML (19) AISTATS (5) AAAI (1) ACL (1) IJCAI (1) JMLR (1) NAACL (1) NIPS (1)

Top co-authors

Cho-jui Hsieh (12) Pradeep Ravikumar (8) Hsiang-Fu Yu (6) Jiong Zhang (5) Si Si (4) Ian En-Hsu Yen (4) Kai Zhong (3) Xin lin (2) Sujay Sanghavi (2) Kai-Yang Chiang (2)

Keywords

convex optimization (5) multi-label classification (3) low-rank approximation (3) empirical risk minimization (2) extreme classification (2) kernel methods (2) topic model (2) matrix approximation (2) graphical model (2) adversarial robustness (2) recommender system (2) multiple sequence alignment (2) stochastic optimization (2) alternating minimization (2) coordinate descent (2) recurrent neural network (2) variational inference (1) maximum entropy (1) zero-shot learning (1) bayesian nonparametrics (1)

Papers

Automatic Engineering of Long Prompts ACL 2024
MatFormer: Nested Transformer for Elastic Inference NIPS 2024
Extreme Zero-Shot Learning for Extreme Text Classification NAACL 2022
CAT: Customized Adversarial Training for Improved Robustness IJCAI 2022
Extreme Multi-label Classification from Aggregated Labels ICML 2020
Learning to Encode Position for Transformer with Continuous Dynamical Model ICML 2020
Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models AISTATS 2019
Online Embedding Compression for Text Classification Using Low Rank Matrix Factorization AAAI 2019
Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization ICML 2018
Towards Fast Computation of Certified Robustness for ReLU Networks ICML 2018
Learning Long Term Dependencies via Fourier Recurrent Units ICML 2018
Fast Classification with Binary Prototypes AISTATS 2017
Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition AISTATS 2017
Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain AISTATS 2017
Rank Aggregation and Prediction with Item Features AISTATS 2017
PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification ICML 2016
Optimal Classification with Multivariate Losses ICML 2016
A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery ICML 2016
Robust Principal Component Analysis with Side Information ICML 2016
Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies ICML 2016
Computationally Efficient NystrΓΆm Approximation using Fast Transforms ICML 2016
A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models ICML 2015
PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent ICML 2015
Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons ICML 2015
PU Learning for Matrix Completion ICML 2015
Admixture of Poisson MRFs: A Topic Model with Word Dependencies ICML 2014
Large-scale Multi-label Learning with Missing Labels ICML 2014
A Divide-and-Conquer Solver for Kernel Support Vector Machines ICML 2014
Memory Efficient Kernel Approximation ICML 2014
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation JMLR 2007