345 results on '"Yisong Yue"'
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2. Distributionally Robust Constrained Reinforcement Learning under Strong Duality.
3. Humanlike Behavior in a Third-Person Shooter with Imitation Learning.
4. Online Policy Optimization in Unknown Nonlinear Systems.
5. Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models.
6. Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion.
7. SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code.
8. Robust Agility via Learned Zero Dynamics Policies.
9. End-to-End Conformal Calibration for Optimization Under Uncertainty.
10. Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems.
11. Unsupervised Representation Learning from Sparse Transformation Analysis.
12. Constructive Nonlinear Control of Underactuated Systems via Zero Dynamics Policies.
13. Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search.
14. Beyond Numeric Awards: In-Context Dueling Bandits with LLM Agents.
15. Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits.
16. Generalizability Under Sensor Failure: Tokenization + Transformers Enable More Robust Latent Spaces.
17. Population Transformer: Learning Population-level Representations of Intracranial Activity.
18. Data-Driven Predictive Control for Robust Exoskeleton Locomotion.
19. ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search.
20. Self-Control of LLM Behaviors by Compressing Suffix Gradient into Prefix Controller.
21. Preferential Multi-Objective Bayesian Optimization.
22. SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning.
23. Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors.
24. TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis.
25. BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos.
26. Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach.
27. MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior.
28. Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation.
29. Eventual Discounting Temporal Logic Counterfactual Experience Replay.
30. Hierarchical Meta-learning-based Adaptive Controller.
31. Compactly Restrictable Metric Policy Optimization Problems.
32. The Mixed-Observable Constrained Linear Quadratic Regulator Problem: The Exact Solution and Practical Algorithms.
33. Self-Supervised Keypoint Discovery in Behavioral Videos.
34. Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis.
35. Competitive Control with Delayed Imperfect Information.
36. Learning Pseudo-Backdoors for Mixed Integer Programs.
37. Safety-Aware Preference-Based Learning for Safety-Critical Control.
38. Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and Zero Dynamics Policies.
39. LyaNet: A Lyapunov Framework for Training Neural ODEs.
40. Investigating Generalization by Controlling Normalized Margin.
41. Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision.
42. End-to-End Imitation Learning with Safety Guarantees using Control Barrier Functions.
43. Safety of Sampled-Data Systems with Control Barrier Functions via Approximate Discrete Time Models.
44. SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems.
45. Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations.
46. Sampled-Data Stabilization With Control Lyapunov Functions via Quadratically Constrained Quadratic Programs.
47. Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms Using Learned Interactions.
48. Natural Multicontact Walking for Robotic Assistive Devices via Musculoskeletal Models and Hybrid Zero Dynamics.
49. MLNav: Learning to Safely Navigate on Martian Terrains.
50. Automatic Gradient Descent: Deep Learning without Hyperparameters.
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