Inderjit Dhillon
31 papers · 2005–2024 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (52) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Dynamic Duo
(12)
🧭
Keyword Pioneer
🌈
Renaissance Researcher
(5)
🔥
Unstoppable · Bronze
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Prolific Year · Productive
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Conference Pioneer
💎
Century Club · Bronze
📈
Trend Setter
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Keyword Collector
(159)
Top co-authors
Research topics
Machine Learning
(28)
Core Methods
(19)
Optimization & Theory
(16)
Learning Types · Machine Learning
(10)
Mathematics & Optimization
(9)
Optimization
(9)
Deep Learning
(7)
Application Areas
(5)
Artificial Intelligence
(4)
Natural Language Processing
(3)
Architectures
(3)
Core AI
(3)
Learning Types · Deep Learning
(3)
Data Science & Analytics
(2)
Applications
(2)
Keywords
convex optimization
(5)
multi-label classification
(4)
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
NeurIPS 2024
CAT: Customized Adversarial Training for Improved Robustness
IJCAI 2022
Extreme Zero-Shot Learning for Extreme Text Classification
NAACL 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
Learning Long Term Dependencies via Fourier Recurrent Units
ICML 2018
Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization
ICML 2018
Towards Fast Computation of Certified Robustness for ReLU Networks
ICML 2018
Fast Classification with Binary Prototypes
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
Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition
AISTATS 2017
A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery
ICML 2016
Computationally Efficient Nyström Approximation using Fast Transforms
ICML 2016
Optimal Classification with Multivariate Losses
ICML 2016
PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification
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
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
A Divide-and-Conquer Solver for Kernel Support Vector Machines
ICML 2014
Admixture of Poisson MRFs: A Topic Model with Word Dependencies
ICML 2014
Large-scale Multi-label Learning with Missing Labels
ICML 2014
Memory Efficient Kernel Approximation
ICML 2014
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation
JMLR 2007
Convex Perturbations for Scalable Semidefinite Programming
AISTATS 2005