Parikshit Ram
28 papers · 2009–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (17) π Interdisciplinary Bridge π Renaissance Researcher (6) π Conference Polyglot (9)
π
Conference Polyglot
(9)
π
Academic Marathon
(16)
π
Cross-Pollinator
(9)
π
Triple Crown
π
Grand Slam
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Keyword Champion
(3)
β‘
Prolific Year
(5)
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Conference Pioneer
β
The Questioner
(3)
π
Trend Setter
ποΈ
Keyword Collector
(124)
π₯
Unstoppable
(6)
π
Century Club
(28)
Conferences
NIPS (8)
AAAI (6)
ICLR (3)
ICML (3)
AUTOML (2)
IJCAI (2)
JMLR (2)
AISTATS (1)
EMNLP (1)
Top co-authors
Keywords
pipeline optimization
(4)
hyperparameter optimization
(4)
machine unlearning
(3)
automated machine learning
(3)
nearest neighbor search
(3)
few-shot learning
(2)
dual-tree algorithm
(2)
associative memory
(2)
cover tree
(2)
knowledge editing
(1)
gradient-based optimization
(1)
lottery ticket hypothesis
(1)
differential privacy
(1)
in-context learning
(1)
similarity search
(1)
ensemble learning
(1)
learning theory
(1)
feature importance
(1)
model editing
(1)
black-box optimization
(1)
Papers
Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills
EMNLP 2025
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
ICML 2025
Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations
AAAI 2025
What Makes Models Compositional? A Theoretical View
IJCAI 2024
Dense Associative Memory Through the Lens of Random Features
NIPS 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
NIPS 2024
Effective Data Distillation for Tabular Datasets (Student Abstract)
AAAI 2024
Enhancing In-context Learning via Linear Probe Calibration
AISTATS 2024
End-to-end Differentiable Clustering with Associative Memories
ICML 2023
Model Sparsity Can Simplify Machine Unlearning
NIPS 2023
Searching for Fairer Machine Learning Ensembles
AUTOML 2023
Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning
ICLR 2023
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
ICLR 2023
Single-shot General Hyper-parameter Optimization for Federated Learning
ICLR 2023
Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization
AAAI 2022
On the Optimality Gap of Warm-Started Hyperparameter Optimization
AUTOML 2022
Advancing Model Pruning via Bi-level Optimization
NIPS 2022
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations
IJCAI 2022
Federated Nearest Neighbor Classification with a Colony of Fruit-Flies
AAAI 2022
Searching for Machine Learning Pipelines Using a Context-Free Grammar
AAAI 2021
Pipeline Combinators for Gradual AutoML
NIPS 2021
An ADMM Based Framework for AutoML Pipeline Configuration
AAAI 2020
Plug-and-Play Dual-Tree Algorithm Runtime Analysis
JMLR 2015
Tree-Independent Dual-Tree Algorithms
ICML 2013
Which Space Partitioning Tree to Use for Search?
NIPS 2013
MLPACK: A Scalable C++ Machine Learning Library
JMLR 2013
Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions
NIPS 2009
Linear-time Algorithms for Pairwise Statistical Problems
NIPS 2009