Princeton Language and Intelligence (PLI)

Research output

Research output per year 1972 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025

• 2410 Article
• 619 Conference contribution
• 315 Conference article
• 163 Paper
• 448 More
  • 155 Review article
  • 99 Chapter
  • 74 Comment/debate
  • 66 Editorial
  • 19 Short survey
  • 17 Book
  • 11 Letter
  • 7 Foreword/postscript

Research output per year

Research output per year

Search results

• 2024

  A Rate-Distortion View of Uncertainty Quantification

  Apostolopoulou, I., Eysenbach, B., Nielsen, F. & Dubrawski, A., 2024, In: Proceedings of Machine Learning Research. 235, p. 1631-1654 24 p.

  Research output: Contribution to journal › Conference article › peer-review

  • rate distortion 100%
  • Deep Neural Network 100%
  • Uncertainty Modeling 100%
  • Supervised Learning 100%
  • Gaussian Process 100%
  1 Scopus citations

• DEEPPOLAR: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning

  Hebbar, S. A., Ankireddy, S. K., Kim, H., Oh, S. & Viswanath, P., 2024, In: Proceedings of Machine Learning Research. 235, p. 18133-18154 22 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Channel Code 100%
  • Kernel Size 100%
  • Deep Learning Method 100%
  • State of the Art 100%
  • Error Correction 100%
  1 Scopus citations

• Efficient Data Shapley for Weighted Nearest Neighbor Algorithms

  Wang, J. T., Mittal, P. & Jia, R., 2024, In: Proceedings of Machine Learning Research. 238, p. 2557-2565 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Computational Efficiency 100%
  • Data Shapley 100%
  • Utility Function 50%
  • Superior Performance 50%
  • Approximation Algorithms 50%

• Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making

  Myers, V., Zheng, C., Dragan, A., Levine, S. & Eysenbach, B., 2024, In: Proceedings of Machine Learning Research. 235, p. 37076-37096 21 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Successor Features 100%
  • Temporal Distance 100%
  • Decision Making 100%
  • Quasi-metric 33%

• MEDUSA: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

  Cai, T., Li, Y., Geng, Z., Peng, H., Lee, J. D., Chen, D. & Dao, T., 2024, In: Proceedings of Machine Learning Research. 235, p. 5209-5235 27 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Acceleration Framework 100%
  • Inference Acceleration 100%
  • Multistage Decoding 100%
  • Large Language Model 100%
  • Model Parameter 100%
  1 Scopus citations

• On the Actionability of Outcome Prediction

  Liu, L. T., Barocas, S., Kleinberg, J. & Levy, K., Mar 25 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 20, p. 22240-22249 10 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Machine Learning 100%
  • And-States 100%
  • Desired Outcome 100%
  • Causal Mechanism 100%
  • Prognosis 100%
  2 Scopus citations

• Policy Evaluation for Reinforcement Learning from Human Feedback: A Sample Complexity Analysis

  Li, Z., Ji, X., Chen, M. & Wang, M., 2024, In: Proceedings of Machine Learning Research. 238, p. 2737-2745 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Preference Data 100%
  • Deep Neural Network 66%
  • Manifold Structure 33%
  • ILearning 33%

• Slot Abstractors: Toward Scalable Abstract Visual Reasoning

  Mondal, S. S., Cohen, J. D. & Webb, T. W., 2024, In: Proceedings of Machine Learning Research. 235, p. 36088-36105 18 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Reasoning Task 100%
  • Performance Art 100%
  • Art Performance 33%
  • Multi-head Architectures 25%
  • Single Rule 25%

• Stability and Multigroup Fairness in Ranking with Uncertain Predictions

  Devic, S., Korolova, A., Kempe, D. & Sharan, V., 2024, In: Proceedings of Machine Learning Research. 235, p. 10661-10686 26 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Group Fairness 100%
  • Fairness in Rankings 100%
  • Ranking Function 100%
  • Main Result 100%
  • Classification Task 50%
  1 Scopus citations

• Structurally Guided Task Decomposition in Spatial Navigation Tasks

  He, R., Correa, C. G., Griffiths, T. L. & Ho, M. K., Mar 25 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 21, p. 23512-23513 2 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Cognitive Resource 100%
  • Complex Task 100%
  • Navigation Task 100%
  • Human Task 50%

• Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization

  Qiu, J., Yuan, H., Zhang, J., Chen, W., Wang, H. & Wang, M., Mar 25 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 13, p. 14686-14694 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Evolutionary 100%
  • Protein Sequence 100%
  • Search Methods 100%
  • Bandits 100%
  • Tree Search 100%

• Visual Adversarial Examples Jailbreak Aligned Large Language Models

  Qi, X., Huang, K., Panda, A., Henderson, P., Wang, M. & Mittal, P., Mar 25 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 19, p. 21527-21536 10 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Adversarial Example 100%
  • Large Language Model 100%
  • Artificial Intelligence 100%
  • Jailbreaking 100%
  • Neural Network 50%
  26 Scopus citations
• 2023

  Adaptive Regret for Control of Time-Varying Dynamics

  Gradu, P., Hazan, E. & Minasyan, E., 2023, In: Proceedings of Machine Learning Research. 211, p. 560-572 13 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Adaptive Regret 100%
  • Time-varying Dynamics 100%
  • Online Learning 100%
  • Performance Measure 100%
  • Convex Optimization 100%
  6 Scopus citations

• AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer

  Ren, A. Z., Dai, H., Burchfiel, B. & Majumdar, A., 2023, In: Proceedings of Machine Learning Research. 229

  Research output: Contribution to journal › Conference article › peer-review

  • Training Policy 100%
  • Policy Training 66%
  • Adaptive Framework 66%
  • Simulation to Real 66%
  • Geometric Approximation 66%
  1 Scopus citations

• A Kernel-Based View of Language Model Fine-Tuning

  Malladi, S., Wettig, A., Yu, D., Chen, D. & Arora, S., 2023, In: Proceedings of Machine Learning Research. 202, p. 23610-23641 32 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Language Modeling 100%
  • Pre-Trained Language Models 100%
  • Gradient Descent 50%
  • Training Point 50%
  • Computer Vision Task 50%
  14 Scopus citations

• Alignment with human representations supports robust few-shot learning

  Sucholutsky, I. & Griffiths, T. L., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Human Representation 100%
  • Few-shot Learning 100%
  • Artificial Intelligence 100%
  • Computer Vision 100%
  • Highly Aligned 50%
  5 Scopus citations

• Analyzing Diffusion as Serial Reproduction

  Marjieh, R., Sucholutsky, I., Langlois, T. A., Jacoby, N. & Griffiths, T. L., 2023, In: Proceedings of Machine Learning Research. 202, p. 24005-24019 15 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Diffusion Model 100%
  • Serial Production 100%
  • Facilitated Diffusion 100%
  • Cognitive Science 100%
  • Writing 40%

• A Randomized Approach to Tight Privacy Accounting

  Wang, J. T., Mahloujifar, S., Wu, T., Jia, R. & Mittal, P., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Differential Privacy 100%
  • Privacy Accounting 100%
  • Privacy Preserving Machine Learning 12%
  • Monte Carlo Technique 12%
  • Privacy Leakage 12%
  2 Scopus citations

• Boundary Guided Learning-Free Semantic Control with Diffusion Models

  Zhu, Y., Wu, Y., Deng, Z., Russakovsky, O. & Yan, Y., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Boundary-guided 100%
  • Learning-free 100%
  • Denoising Diffusion Models 100%
  • Semantic Editing 33%
  • Semantic Behavior 16%
  2 Scopus citations

• Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation

  Wang, Y., Liu, Q., Bai, Y. & Jin, C., 2023, In: Proceedings of Machine Learning Research. 195, p. 2793-2848 56 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Approximation Function 100%
  • Polynomial 50%
  • Approximates 50%
  • Linear Function 25%
  • Wide Range 25%
  5 Scopus citations

• Byzantine-Robust Online and Offline Distributed Reinforcement Learning

  Chen, Y., Zhang, X., Zhang, K., Wang, M. & Zhu, X., 2023, In: Proceedings of Machine Learning Research. 206, p. 3230-3269 40 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Reinforcement Learning 100%
  • Byzantine-robust 100%
  • Markov Decision Process 50%
  • Multiple Agents 50%
  • Optimistic Value 33%
  8 Scopus citations

• Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings

  Uehara, M., Sekhari, A., Lee, J. D., Kallus, N. & Sun, W., 2023, In: Proceedings of Machine Learning Research. 202, p. 34615-34641 27 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Markov Decision Process 100%
  • Conditionals 100%
  • Partially Observable Markov Decision Process 100%
  • Observation Space 75%
  • State Space 50%

• Context-lumpable stochastic bandits

  Lee, C. W., Liu, Q., Abbasi-Yadkori, Y., Jin, C., Lattimore, T. & Szepesvári, C., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Random Context 100%
  • K-group 100%
  • K-Group 100%
  • Past Experience 100%
  1 Scopus citations

• Contrastive Value Learning: Implicit Models for Simple Offline RL

  Mazoure, B., Eysenbach, B., Nachum, O. & Tompson, J., 2023, In: Proceedings of Machine Learning Research. 229

  Research output: Contribution to journal › Conference article › peer-review

  • Reinforcement Learning 100%
  • Learning Systems 33%
  • Conventional Model 33%
  • Dynamic Environment 33%
  • Model-Based Reinforcement Learning 33%
  1 Scopus citations

• CRISP: Curriculum based Sequential neural decoders for Polar code family

  Hebbar, S. A., Nadkarni, V., Makkuva, A. V., Bhat, S., Oh, S. & Viswanath, P., 2023, In: Proceedings of Machine Learning Research. 202, p. 12823-12845 23 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Convolutional Code 100%
  • State of the Art 100%
  • Reliable Communication 50%
  • Blocklength 50%
  • Optimal Performance 50%
  6 Scopus citations

• Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy

  Hu, H., Zhang, Z., Nakamura, K., Bajcsy, A. & Fisac, J. F., 2023, In: Proceedings of Machine Learning Research. 229

  Research output: Contribution to journal › Conference article › peer-review

  • Learning Loops 100%
  • Safety Procedures 100%
  • Interactive Robot 100%
  • Bayesian Belief Propagation 100%
  • Safety Learning 100%
  4 Scopus citations

• Deep Patch Visual Odometry

  Teed, Z., Lipson, L. & Deng, J., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Odometry System 100%
  • Monocular Visual Odometry 100%
  • Update Operator 100%
  31 Scopus citations

• Differentially Private Image Classification by Learning Priors from Random Processes

  Tang, X., Panda, A., Sehwag, V. & Mittal, P., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Gradient Descent 100%
  • Image Classification 100%
  • Stochastics 100%
  • Random Process 100%
  • Differentially Private Stochastic Gradient Descent 100%
  10 Scopus citations

• DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method

  Khaled, A., Mishchenko, K. & Jin, C., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Parameter-free 100%
  • Gradient Method 100%
  • Weighted Gradient 100%
  • Free Parameter 100%
  • Gradient Descent Method 100%
  8 Scopus citations

• Effectively Using Public Data in Privacy Preserving Machine Learning

  Nasr, M., Mahloujifar, S., Tang, X., Mittal, P. & Houmansadr, A., 2023, In: Proceedings of Machine Learning Research. 202, p. 25718-25732 15 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Inferred Information 100%
  • Private Model 40%
  • Differentially Private Machine Learning 40%
  • SPGD Algorithm 20%
  7 Scopus citations

• Efficient displacement convex optimization with particle gradient descent

  Daneshmand, H., Lee, J. D. & Jin, C., 2023, In: Proceedings of Machine Learning Research. 202, p. 6836-6854 19 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Gradient Descent 100%
  • Convex Optimization 100%
  • Probability Measure 100%
  • Convex Function 100%
  • Probability Theory 50%

• Fairness in Matching under Uncertainty

  Devic, S., Kempe, D., Sharan, V. & Korolova, A., 2023, In: Proceedings of Machine Learning Research. 202, p. 7775-7794 20 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Linear Programming 100%
  • Under Uncertainty 100%
  • Two-sided Marketplace 100%
  • Linear Program 100%
  • Key Property 100%
  3 Scopus citations

• Fundamental Tradeoffs in Learning with Prior Information

  Majumdar, A., 2023, In: Proceedings of Machine Learning Research. 202, p. 23558-23573 16 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Minimax 100%
  • Learning Performance 100%
  • Regression Estimation 50%
  • Bayes Risk 50%
  • Reinforcement Learning 50%

• Gaussian Process Probes (GPP) for Uncertainty-Aware Probing

  Wang, Z., Ku, A., Baldridge, J., Griffiths, T. L. & Kim, B., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Data Distribution 100%
  • Machine Learning 50%
  • Training Data 50%
  • Representation Model 50%
  • Responsible Use 14%
  1 Scopus citations

• GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition

  Ramaswamy, V. V., Lin, S. Y., Zhao, D., Adcock, A. B., van der Maaten, L., Ghadiyaram, D. & Russakovsky, O., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Object Recognition 100%
  • Personally Identifiable Information 100%
  • Evaluation Dataset 100%
  • Dataset Collection 100%
  • North America 100%
  4 Scopus citations

• HIQL: Offline Goal-Conditioned RL with Latent States as Actions

  Park, S., Ghosh, D., Eysenbach, B. & Levine, S., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Reinforcement Learning 100%
  • Function Value 60%
  • Unsupervised Pre-training 25%
  • Hierarchical Decomposition 20%
  • Computer Vision 20%
  7 Scopus citations

• HUMAN INDUCTIVE BIASES FOR AVERSIVE CONTINUAL LEARNING — A HIERARCHICAL BAYESIAN NONPARAMETRIC MODEL

  Pisupati, S., Berwian, I. M., Chiu, J., Ren, Y. & Niv, Y., 2023, In: Proceedings of Machine Learning Research. 232, p. 337-346 10 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Fear Conditioning 100%
  • Individual Differences 100%
  • Learning Algorithm 100%
  • Anxiety Disorder 100%
  • Spontaneous Recovery 100%

• Is RLHF More Difficult than Standard RL? A Theoretical Perspective

  Wang, Y., Liu, Q. & Jin, C., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Reinforcement Learning 100%
  • Reinforcement Learning from Human Feedback 100%
  • Nash Equilibrium 100%
  • Reward-based 83%
  • Preference-based Reinforcement Learning 33%
  5 Scopus citations

• Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning

  Zhao, Y., Yang, Z., Wang, Z. & Lee, J. D., 2023, In: Proceedings of Machine Learning Research. 202, p. 42200-42226 27 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Optimality 100%
  • Function Value 100%
  • Dependent Problem 100%
  • Regularity Condition 100%
  • Descent Direction 100%
  2 Scopus citations

• Looped Transformers as Programmable Computers

  Giannou, A., Rajput, S., Sohn, J. Y., Lee, K., Lee, J. D. & Papailiopoulos, D., 2023, In: Proceedings of Machine Learning Research. 202, p. 11398-11442 45 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Punch Card 100%
  • Linear Algebra Libraries 33%
  13 Scopus citations

• MultiRobustBench: Benchmarking Robustness Against Multiple Attacks

  Dai, S., Mahloujifar, S., Xiang, C., Sehwag, V., Chen, P. Y. & Mittal, P., 2023, In: Proceedings of Machine Learning Research. 202, p. 6760-6785 26 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Attack Strength 100%
  • Performance Capture 74%
  • Capture Performance 49%
  • Level of Learners 49%
  • Worst-case Attack 49%
  3 Scopus citations

• Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage

  Uehara, M., Lee, J. D., Kallus, N. & Sun, W., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Optimization Problem 100%
  • Minimax 100%
  • Learning Algorithm 50%
  • Convex Optimization 50%
  • Related Function 50%
  2 Scopus citations

• Online Control for Meta-optimization

  Chen, X. & Hazan, E., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Problem Instance 100%
  • Global Optimality 100%
  • Online Learning 100%
  • Control Theory 100%
  • Convex Relaxation 100%
  1 Scopus citations

• Online Learning for Obstacle Avoidance

  Snyder, D., Booker, M., Simon, N., Xia, W., Suo, D., Hazan, E. & Majumdar, A., 2023, In: Proceedings of Machine Learning Research. 229

  Research output: Contribution to journal › Conference article › peer-review

  • Dense Obstacles 100%
  • Dynamic Nonlinearity 100%
  • Input Disturbance 100%
  • Instance Optimality 100%
  • Case Realization 100%
  1 Scopus citations

• Online Nonstochastic Model-Free Reinforcement Learning

  Ghai, U., Gupta, A., Xia, W., Singh, K. & Hazan, E., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Reinforcement Learning 100%
  • Model-Free Reinforcement Learning 100%
  • State Space 50%
  • Dynamical System 50%
  • Linear Controller 50%
  2 Scopus citations

• Optimal Rates for Bandit Nonstochastic Control

  Sun, Y. J., Newman, S. & Hazan, E., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Optimal Rate 100%
  • Linear Quadratic Regulator 100%
  • Bandits 100%
  • Non-stochastic 100%
  • Optimal Control 100%
  1 Scopus citations

• Optimal Sample Complexity Bounds for Non-convex Optimization under Kurdyka-Lojasiewicz Condition

  Yu, Q., Wang, Y., Huang, B., Lei, Q. & Lee, J. D., 2023, In: Proceedings of Machine Learning Research. 206, p. 6806-6821 16 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Search Algorithm 100%
  • Gradient Method 100%
  • Nonconvex Optimization 100%
  • Complexity Bounds 100%
  • Online Learning 100%

• Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL

  Liu, Q., Jin, C., Weisz, G., György, A. & Szepesvári, C., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Optimization Framework 100%
  • Policy Optimization 100%
  • Efficient Policy 100%
  • Interactive Reinforcement Learning 100%
  • Natural Policy Gradient 100%
  2 Scopus citations

• Partial Matrix Completion

  Hazan, E., Kanade, V., Kalai, A. T., Mohri, C. & Sun, Y. J., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Efficient Algorithm 100%
  • Online Learning 100%
  • Underlying Distribution 100%
  • Generalization Error 100%
  • Partial Matrix 100%

• Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation

  Kuang, N. L., Yin, M., Wang, M., Wang, Y. X. & Ma, Y. A., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Linear Function 100%
  • Reinforcement Learning 100%
  • Function Approximation 100%
  • Posterior Sampling 100%
  • Worst Case 50%
  2 Scopus citations