Papers
938 papers found
Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics
Argenis Arriojas, Jacob Adamczyk, Stas Tiomkin et al.
Bayesian inference for vertex-series-parallel partial orders
Chuxuan Jiang, Geoff K. Nicholls, Jeong Eun Lee
Bayesian numerical integration with neural networks
Katharina Ott, Michael Tiemann, Philipp Hennig et al.
BeliefPPG: Uncertainty-aware heart rate estimation from PPG signals via belief propagation
Valentin Bieri, Paul Streli, Berken Utku Demirel et al.
Benefits of monotonicity in safe exploration with Gaussian processes
Arpan Losalka, Jonathan Scarlett
Benign Overfitting in Adversarially Robust Linear Classification
Jinghui Chen, Yuan Cao, Quanquan Gu
Best arm identification in rare events
Anirban Bhattacharjee, Sushant Vijayan, Sandeep Juneja
Bidirectional Attention as a Mixture of Continuous Word Experts
Kevin C. Wibisono, Yixin Wang
Birds of an odd feather: guaranteed out-of-distribution (OOD) novel category detection
Yoav Wald, Suchi Saria
BISCUIT: Causal Representation Learning from Binary Interactions
Phillip Lippe, Sara Magliacane, Sindy Löwe et al.
Blackbox optimization of unimodal functions
A. Cutkosky, A. Das, W. Kong et al.
Boosting AND/OR-based computational protein design: dynamic heuristics and generalizable UFO
Bobak Pezeshki, Radu Marinescu, Alexander Ihler et al.
Bounding the optimal value function in compositional reinforcement learning
Jacob Adamczyk, Volodymyr Makarenko, Argenis Arriojas et al.
Causal Discovery for time series from multiple datasets with latent contexts
Wiebke Günther, Urmi Ninad, Jakob Runge
Causal Discovery with Hidden Confounders using the Algorithmic Markov Condition
David Kaltenpoth, Jilles Vreeken
Causal effect estimation from observational and interventional data through matrix weighted linear estimators
Klaus-Rudolf Kladny, Julius von Kügelgen, Bernhard Schölkopf et al.
Causal inference with outcome-dependent missingness and self-censoring
Jacob M. Chen, Daniel Malinsky, Rohit Bhattacharya
Causal information splitting: Engineering proxy features for robustness to distribution shifts
Bijan Mazaheri, Atalanti Mastakouri, Dominik Janzing et al.
Combinatorial categorized bandits with expert rankings
Sayak Ray Chowdhury, Gaurav Sinha, Nagarajan Natarajan et al.
Composing Efficient, Robust Tests for Policy Selection
Dustin Morrill, Thomas J. Walsh, Daniel Hernandez et al.
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow
Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata
Conditional abstraction trees for sample-efficient reinforcement learning
Mehdi Dadvar, Rashmeet Kaur Nayyar, Siddharth Srivastava
Conditional counterfactual causal effect for individual attribution
Ruiqi Zhao, Lei Zhang, Shengyu Zhu et al.
Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning
Xutong Zhao, Yangchen Pan, Chenjun Xiao et al.
Conformal Risk Control for Ordinal Classification
Yunpeng Xu, Wenge Guo, Zhi Wei