Pradeep Kumar Ravikumar
17 papers · 2021–2025 · 4 venues · across top CS/AI venues
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (29) 🌍 Conference Polyglot · Bronze 🌈 Renaissance Researcher (5) 💎 Century Club · Bronze
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Venues
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Research topics
Machine Learning
(14)
Artificial Intelligence
(10)
Core AI
(9)
Optimization & Theory
(9)
Core Methods
(6)
Learning Types
(5)
Deep Learning
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Robotics
(1)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Keywords
representation learning
(3)
gradient descent
(2)
empirical risk minimization
(2)
semi-supervised learning
(2)
self-supervised learning
(2)
weakly supervised learning
(2)
causal inference
(2)
collaborative filtering
(1)
feature selection
(1)
non-convex optimization
(1)
structure learning
(1)
kernel principal component analysis
(1)
label propagation
(1)
contrastive learning
(1)
feature attribution
(1)
independent component analysis
(1)
data augmentation
(1)
loss landscape
(1)
out-of-distribution generalization
(1)
binary classification
(1)
Papers
Contextures: Representations from Contexts
ICML 2025
Learning from weak labelers as constraints
ICLR 2025
On the Consistent Recovery of Joint Distributions from Conditionals
AISTATS 2025
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis
CLeaR 2024
Identifying Representations for Intervention Extrapolation
ICLR 2024
On the Origins of Linear Representations in Large Language Models
ICML 2024
Spectrally Transformed Kernel Regression
ICLR 2024
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression
ICLR 2024
Concept Gradient: Concept-based Interpretation Without Linear Assumption
ICLR 2023
Label Propagation with Weak Supervision
ICLR 2023
Optimizing NOTEARS Objectives via Topological Swaps
ICML 2023
Representer Point Selection for Explaining Regularized High-dimensional Models
ICML 2023
Understanding Why Generalized Reweighting Does Not Improve Over ERM
ICLR 2023
Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation
ICLR 2022
FILM: Following Instructions in Language with Modular Methods
ICLR 2022
Evaluations and Methods for Explanation through Robustness Analysis
ICLR 2021
The Risks of Invariant Risk Minimization
ICLR 2021