Souradip Chakraborty

According to our database¹, Souradip Chakraborty authored at least 34 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

On the Sample Complexity of a Policy Gradient Algorithm with Occupancy Approximation for General Utility Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

AIME: AI System Optimization via Multiple LLM Evaluators.

[BibT_eX]

[DOI]

CoRR, 2024

Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?

[BibT_eX]

[DOI]

Michael-Andrei Panaitescu-Liess

Zora Che

Bang An

Yuancheng Xu

Pankayaraj Pathmanathan

CoRR, 2024

SAIL: Self-Improving Efficient Online Alignment of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Is poisoning a real threat to LLM alignment? Maybe more so than you think.

[BibT_eX]

[DOI]

Pankayaraj Pathmanathan

CoRR, 2024

DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Transfer Q Star: Principled Decoding for LLM Alignment.

[BibT_eX]

[DOI]

CoRR, 2024

Provably Sample Efficient RLHF via Active Preference Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

On the Safety Concerns of Deploying LLMs/VLMs in Robotics: Highlighting the Risks and Vulnerabilities.

[BibT_eX]

[DOI]

CoRR, 2024

MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences.

[BibT_eX]

[DOI]

CoRR, 2024

Beyond Text: Improving LLM's Decision Making for Robot Navigation via Vocal Cues.

[BibT_eX]

[DOI]

CoRR, 2024

MaxMin-RLHF: Alignment with Diverse Human Preferences.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: On the Possibilities of AI-Generated Text Detection.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

A Survey on the Possibilities & Impossibilities of AI-generated Text Detection.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

REBEL: A Regularization-Based Solution for Reward Overoptimization in Reinforcement Learning from Human Feedback.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Aligning Agent Policy with Externalities: Reward Design via Bilevel RL.

[BibT_eX]

[DOI]

CoRR, 2023

Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in Multi-Agent RL.

[BibT_eX]

[DOI]

CoRR, 2023

On the Possibilities of AI-Generated Text Detection.

[BibT_eX]

[DOI]

CoRR, 2023

RE-MOVE: An Adaptive Policy Design Approach for Dynamic Environments via Language-Based Feedback.

[BibT_eX]

[DOI]

CoRR, 2023

Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policy Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies.

[BibT_eX]

[DOI]

CoRR, 2022

On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm.

[BibT_eX]

[DOI]

Kasun Weerakoon

Souradip Chakraborty

Nare Karapetyan

Adarsh Jagan Sathyamoorthy

Amrit S. Bedi

Dinesh Manocha

Proceedings of the Conference on Robot Learning, 2022

2020

Learning Representation for Mixed Data Types with a Nonlinear Deep Encoder-Decoder Framework.

[BibT_eX]

[DOI]

Saswata Sahoo

Souradip Chakraborty

CoRR, 2020

Transformers at SemEval-2020 Task 11: Propaganda Fragment Detection Using Diversified BERT Architectures Based Ensemble Learning.

[BibT_eX]

[DOI]

Ekansh Verma

Vinodh Motupalli

Souradip Chakraborty

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Graph Spectral Feature Learning for Mixed Data of Categorical and Numerical Type.

[BibT_eX]

[DOI]

Saswata Sahoo

Souradip Chakraborty

Proceedings of the 25th International Conference on Pattern Recognition, 2020

FairMixRep: Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling.

[BibT_eX]

[DOI]

Souradip Chakraborty

Aritra Roy Gosthipaty

Sayak Paul

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

BioMedBERT: A Pre-trained Biomedical Language Model for QA and IR.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Souradip Chakraborty

Timeline

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