Parikshit Ram
28 papers · 2009–2025 · 9 venues · across top CS/AI venues
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(12)
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(5)
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(3)
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Research topics
Machine Learning
(27)
Artificial Intelligence
(14)
Optimization & Theory
(14)
Application Areas
(10)
Core AI
(10)
Core Methods
(9)
Deep Learning
(8)
Computer Science
(7)
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(7)
Data Science & Analytics
(4)
Applications
(4)
Foundations
(4)
Learning Paradigms
(4)
Mathematics & Optimization
(3)
Methods
(3)
Keywords
hyperparameter optimization
(6)
pipeline optimization
(4)
nearest neighbor search
(4)
bilevel optimization
(3)
automated machine learning
(3)
machine unlearning
(3)
federated learning
(2)
representation learning
(2)
large language model
(2)
cover tree
(2)
associative memory
(2)
dual-tree algorithm
(2)
few-shot learning
(2)
similarity search
(1)
lottery ticket hypothesis
(1)
convex optimization
(1)
ensemble learning
(1)
learning theory
(1)
black-box optimization
(1)
preference optimization
(1)
Papers
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
Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills
EMNLP 2025
Dense Associative Memory Through the Lens of Random Features
NeurIPS 2024
Effective Data Distillation for Tabular Datasets (Student Abstract)
AAAI 2024
Enhancing In-context Learning via Linear Probe Calibration
AISTATS 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
NeurIPS 2024
What Makes Models Compositional? A Theoretical View
IJCAI 2024
End-to-end Differentiable Clustering with Associative Memories
ICML 2023
Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning
ICLR 2023
Model Sparsity Can Simplify Machine Unlearning
NeurIPS 2023
Searching for Fairer Machine Learning Ensembles
AutoML 2023
Single-shot General Hyper-parameter Optimization for Federated Learning
ICLR 2023
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
ICLR 2023
Advancing Model Pruning via Bi-level Optimization
NeurIPS 2022
Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization
AAAI 2022
Federated Nearest Neighbor Classification with a Colony of Fruit-Flies
AAAI 2022
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations
IJCAI 2022
On the Optimality Gap of Warm-Started Hyperparameter Optimization
AutoML 2022
Pipeline Combinators for Gradual AutoML
NeurIPS 2021
Searching for Machine Learning Pipelines Using a Context-Free Grammar
AAAI 2021
An ADMM Based Framework for AutoML Pipeline Configuration
AAAI 2020
Plug-and-Play Dual-Tree Algorithm Runtime Analysis
JMLR 2015
MLPACK: A Scalable C++ Machine Learning Library
JMLR 2013
Tree-Independent Dual-Tree Algorithms
ICML 2013
Which Space Partitioning Tree to Use for Search?
NeurIPS 2013
Linear-time Algorithms for Pairwise Statistical Problems
NeurIPS 2009
Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions
NeurIPS 2009