Papers
The Secretary Problem with Predicted Additive Gap
Alexander Braun, Sherry Sarkar
The Selective $G$-Bispectrum and its Inversion: Applications to $G$-Invariant Networks
Simon Mataigne, Johan Mathe, Sophia Sanborn et al.
The Space Complexity of Approximating Logistic Loss
Gregory Dexter, Petros Drineas, Rajiv Khanna
The Star Geometry of Critic-Based Regularizer Learning
Oscar Leong, Eliza O'Reilly, Yong Sheng Soh
The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track
Eshta Bhardwaj, Harshit Gujral, Siyi Wu et al.
The Surprising Effectiveness of SP Voting with Partial Preferences
Hadi Hosseini, Debmalya Mandal, Amrit Puhan
The surprising efficiency of temporal difference learning for rare event prediction
Xiaoou Cheng, Jonathan Weare
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning
Moritz Schneider, Robert Krug, Narunas Vaskevicius et al.
The tree autoencoder model, with application to hierarchical data visualization
Miguel Á. Carreira-Perpiñán, Kuat Gazizov
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
Scott Geng, Cheng-Yu Hsieh, Vivek Ramanujan et al.
The Value of Reward Lookahead in Reinforcement Learning
Nadav Merlis, Dorian Baudry, Vianney Perchet
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
Ruben Ohana, Michael McCabe, Lucas Meyer et al.
Thinking Forward: Memory-Efficient Federated Finetuning of Language Models
Kunjal Panchal, Nisarg Parikh, Sunav Choudhary et al.
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization
Anthony Bardou, Patrick Thiran, Giovanni Ranieri
Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox
Raymond Zhang, Richard Combes
Thought of Search: Planning with Language Models Through The Lens of Efficiency
Michael Katz, Harsha Kokel, Kavitha Srinivas et al.
Tight Bounds for Learning RUMs from Small Slates
Flavio Chierichetti, Mirko Giacchini, Ravi Kumar et al.
Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective
Xufeng Cai, Cheuk Yin Lin, Jelena Diakonikolas
Tight Rates for Bandit Control Beyond Quadratics
Y. Jennifer Sun, Zhou Lu
Time-Constrained Robust MDPs
Adil Zouitine, David Bertoin, Pierre Clavier et al.
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
Qingxiang Liu, Xu Liu, Chenghao Liu et al.
Time Makes Space: Emergence of Place Fields in Networks Encoding Temporally Continuous Sensory Experiences
Zhaoze Wang, Ronald W. Di Tullio, Spencer Rooke et al.
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
Haoxin Liu, Shangqing Xu, Zhiyuan Zhao et al.
Time-Reversal Provides Unsupervised Feedback to LLMs
Varun Yerram, Rahul Madhavan, Sravanti Addepalli et al.
Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models
Zhan Zhuang, Yulong Zhang, Xuehao Wang et al.